Sponsored by:

Visit AMD Visit Supermicro

Performance Intensive Computing

Capture the full potential of IT

Data-center service providers: ready for transformation?

Featured content

Data-center service providers: ready for transformation?

An IDC researcher argues that providers of data-center hosting services face new customer demands that require them to create new infrastructure stacks. Key elements will include rack-scale integration, accelerators and new CPU cores. 

Learn More about this topic
  • Applications:
  • Featured Technologies:

If your organization provides data-center hosting services, brace yourself. Due to changing customer demands, you’re about to need an entirely new infrastructure stack.

So argues Chris Drake, a senior research director at market watcher IDC, in a recently published white paper sponsored by Supermicro and AMD, The Power of Now: Accelerate the Datacenter.

In his white paper, Drake asserts that this new data center infrastructure stack will include new CPU cores, accelerated computing, rack-scale integration, a software-defined architecture, and the use of a micro-services application environment.

Key drivers

That’s a challenging list. So what’s driving the need for this new infrastructure stack? According to Drake, changing customer requirements.

More specifically, a growing need for hosted IT requirements. For reasons related to cost, security and performance, many IT shops are choosing to retain proprietary workloads on premises and in private-cloud environments.

While some of these IT customers have sufficient capacity in their data centers to host these workloads on prem, many don’t. They’ll rely instead on service providers for a range of hosted IT requirements. To meet this demand, Drake says, service providers will need to modernize.

Another driver: growing customer demand for raw compute power, a direct result of their adoption of new, advanced computing tools. These include analytics, media streaming, and of course the various flavors of artificial intelligence, including machine learning, deep learning and generative AI.

IDC predicts that spending on servers ranging in price from $10K to $250K will rise from a global total of $50.9 billion in 2022 to $97.4 billion in 2027. That would mark a 5-year compound annual growth rate of nearly 14%.

Under the hood

What will building this new infrastructure stack entail? Drake points to 5 key elements:

  • Higher-performing CPU cores: These include chiplet-based CPU architectures that enable the deployment of composable hardware architectures. Along with distributed and composable hardware architectures, these can enable more efficient use of shared resources and more scalable compute performance.
  • Accelerated computing: Core CPU processing will increasingly be supplemented by hardware accelerators, including those for AI. They’ll be needed to support today’s—and tomorrow’s—increasingly diverse range of high-performance and data-intensive workloads.
  • Rack-scale integration: Pre-tested racks can facilitate faster deployment, integration and expansion. They can also enable a converged-infrastructure approach to building and scaling a data center.
  • Software-defined data center technology: In this approach, virtualization concepts such as abstraction and pooling are extended to a data center’s compute, storage, networking and other resources. The benefits include increased efficiency, better management and more flexibility.
  • A microservices application architecture: This approach divides large applications into smaller, independently functional units. In so doing, it enables a highly modular and agile way for applications to be developed, maintained and upgraded.

Plan for change

Rome wasn’t built in a day. Modernizing a data center will take time, too.

To help service providers implement a successful modernization, Drake of IDC offers this 6-point action plan:

1. Develop a transformation road map: Aim to strike a balance between harnessing new technology opportunities on the one hand and being realistic about your time frames, costs and priorities on the other.

2. Work with a full-stack portfolio vendor: You want a solution that’s tailored for your needs, not just an off-the-rack package. “Full stack” here means a complete offering of servers, hardware accelerators, storage and networking equipment—as well as support services for all of the above.

3. Match accelerators to your workloads: You don’t need a Formula 1 race car to take the kids to school. Same with your accelerators. Sure, you may have workloads that require super-low latency and equally high thruput. But you’re also likely to be supporting workloads that can take advantage of more affordable CPU-GPU combos. Work with your vendors to match their hardware with your workloads.

4. Seek suppliers with the right experience: Work with tech vendors that know what you need. Look for those with proven track records of helping service providers to transform and scale their infrastructures.

5. Select providers with supply-chain ownership: Ideally, your tech vendors will fully own their supply chains for boards, systems and rack designs such as liquid-cooling systems. That includes managing the vertical integration needed to combine these elements. The right supplier could help you save costs and get to market faster.

6. Create a long-term plan: Plan for the short term, but also look ahead into the future. Technology isn’t sitting still, and neither should you. Plan for technology refreshes. Ask your vendors for their road maps, and review them. Decide what you can support in-house versus what you’ll probably need to hand off to partners.

Now do more:

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Research Roundup: IT spending, data-center accelerators, GenAI for software testing, social-media usage

Featured content

Research Roundup: IT spending, data-center accelerators, GenAI for software testing, social-media usage

Get your roundup of the latest, greatest IT research. 

Learn More about this topic
  • Applications:

Global IT spending this year will increase by nearly 7%. Nearly half of data-center systems bought this year will be accelerators. Generative AI will soon automate 70% of all software tests. And 8 in 10 American adults use YouTube.

That’s some of the latest, greatest IT research. And here’s your Performance Intensive Computing roundup.

IT spending on the rise

IT spending worldwide will rise by nearly 7% this year over last year, predicts Gartner, for a 2024 total of $4.99 trillion. (Yes, the T is correct.)

The fastest-growing sector will be software. Gartner expects software spending worldwide to rise by nearly 13% this year, bringing total annual spending to slightly more than $1 trillion.

The second-fastest growth will come in data center systems, where Gartner predicts a spending rise this year of 7.5%, for a worldwide total of $261.3 billion.

The overall spending forecast of 6.8% is more than twice 2023’s spending increase of just 3.3%. Last year, CIOs experienced what Gartner calls “change fatigue.” That manifested itself in unsigned contracts and unformed tech partnerships.

What about generative AI? Gartner says the technology won’t impact IT spending significantly this year. Instead, organizations this year will mainly plan how they’ll use GenAI in the future.

Diving with ‘accelerators’ 

Spending on semiconductors used in data-center systems will enjoy a 5-year compound annual growth rate (CAGR) of 25%, reaching $286 billion in 2028, expects Dell’Oro Group.

Dell’Oro expects nearly half of that will go to ‘accelerators,’ most of them GPUs. In 2023, it adds, data-center accelerator revenue surpassed that of CPUs for the first time. Over the next 5 years, this gap will widen further.

“Ultimately,” says Dell’Oro senior research director Baron Fung, “this will enhance overall efficiency in data centers.”

GenAI for software testing

By 2028—just 4 years off—GenAI tools will be able to write 70% of all software tests, according to a forecast from IDC.

That will not only lower the need for manual testing, but also improve test coverage, software usability and code quality, IDC adds.

It’s a big deal. In IDC’s own survey of IT leaders in the Asia-Pacific region, nearly half the respondents (48%) said code review and testing is one of the most important tasks AI could help with.

To do this, a GenAI tool uses AI algorithms to generate and manage test scripts. This can also include creating test cases, testing procedures, and even self-healing of failed tests.

How Americans use social media

How popular is social media with Americans? Very.

More than 8 in 10 Americans (83%) say they’ve used YouTube, finds a recent Pew Research Center survey of over 5,730 U.S. adults.

Nearly 7 in 10 adults (68%) report they use Facebook, the survey finds. And nearly half (47%) say they use Instagram.

Other social media sites are less popular, but still are used by about quarter to a third of U.S. adults, Pew says. These sites include LinkedIn, Pinterest, Reddit, TikTok, WhatsApp and X.

The fastest-growing social site among U.S. adults? That would be TikTok. In 2021, only about one in five Americans (21%) told Pew they were using the video site. Today that’s up to one in three (33%).

Age matters, too. While only 15% of those 65 and over use Instagram, the site is used by 78% of those aged 18 to 29, Pew finds.

Similarly, while 65% of Americans under the age of 30 use Snapchat, among those over 65, Snapchat is used by just 4%.

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Get a better Google on-prem cloud with Supermicro SuperBlade

Featured content

Get a better Google on-prem cloud with Supermicro SuperBlade

Supermicro SuperBlade servers powered by AMD EPYC processors are ideal for managing cloud-native workloads--and for connecting to the wealth of services the Google Cloud Platform provides.

Learn More about this topic
  • Applications:
  • Featured Technologies:

Everyone’s moved to the public cloud, right? No, not quite.

Sure, many organizations have moved to the cloud for application development and a place to run applications. And why not, since the benefits can include faster time to market, greater efficiencies, increased scalability and lower costs.

Yet many organizations have too many IT systems and processes to “lift and shift” them to the cloud all at once. Instead, their journey to the cloud will likely take months or even years.

In the meantime, some are adopting on-premises clouds. This approach gives them dedicated, bare metal servers, or servers that can be set up with cloud services and capabilities.

One popular approach to an on-premises cloud is Google GDC Virtual. Formerly known as Google Anthos on-prem and bare metal, this solution extends Google’s cloud capabilities and services to an organization’s on-prem data center.

Your customers can use Google GDC Virtual to run new, modernized applications, bring in AI and machine learning workloads, and modernize on-premises applications.

All this should be especially interesting to your customers if they already use the Google Distributed Cloud (GDC). This portfolio of products now includes GDC Virtual, extending Google’s cloud infrastructure and services to the edge and corporate data centers.

More help is here now from Supermicro SuperBlade servers powered by AMD EPYC processors. They’re ideal for managing cloud-native workloads. And for connecting to the wealth of services the Google Cloud Platform provides.

These servers include a bare metal option that delivers many cloud benefits to self-managed Supermicro SuperBlade servers. This offers your customers Bare Metal as a Service (BMaaS) for workloads that include AI inferencing, visual computing, big data and high-performance computing (HPC).

Why on-prem cloud?

With the public cloud such a popular, common solution, why might your customers prefer to run an on-prem cloud? The reasons include:

  • Data security, compliance and sovereignty requirements. For example, privacy regulations may prohibit your customer from running an application in the public cloud.
  • Monolithic application design. Some legacy application architectures don’t align with cloud pricing models.
  • Demand for networking with very low latency. Highly transactional systems, such as those used by banks, benefit from being physically close to their users, data and next-hop processors in the application flow.
  • Protect legacy investments: Your customer may have already spent a small fortune on on-prem servers, networking gear and storage devices. For them, shifting from CapEx to OpEx—normally one of the big benefits of moving to the cloud—may not be an option.

Using GDC Virtual, your customers can deploy both traditional and cloud-native apps. A single GDC Virtual cluster can support deployments across multiple cloud platforms, including not only Google Cloud, but also AWS and Microsoft Azure.

Super benes

If all this sounds like a good option for your customers, you should also consider Supermicro servers. They’re ideal for managing cloud-native workloads when used as control panel nodes and worker nodes to create a GDC Virtual hybrid cluster.

Here are some of the main benefits your customers can enjoy by using Supermicro SuperBlade servers powered by AMD EPYC processors:

  • Hardware-agnostic: Your customers can leverage existing on-prem SuperBlade servers to drive data-center efficiency.
  • No hypervisor layer overhead: Deploying GDC Virtual on SuperBlade reduces complexity.
  • Rapid deployment: GDC Virtual enables rapid cloud-native application development and delivery. So both developers and dev-ops teams can benefit from increased productivity.
  • Easy manageability: SuperBlade manageability, coupled with GDC Virtual management, enables increased operational efficiency. A dashboard lets you monitor what’s going on.

Under the hood

Supermicro SuperBlade servers are powered by AMD EPYC 7003 Series processors with AMD 3D V-Cache tech. These CPUs, built around AMD’s “Zen 3” core, contain up to 64 cores per socket.

Supermicro offers three AMD-powered SuperBlade models: SAS, SATA and GPU-accelerated. These can be mixed in a single 8U enclosure, a feature SMC calls “private cloud in a box.” Each server supports up to 40 single-width GPUs or 20 double-width GPUs.

Each server also contains at least one Chassis Management Module (CMM). This lets sys admins remotely manage and monitor server blades, power supplies, cooling fans and networking switches.

Another Supermicro SuperBlade feature is SuperCloud Composer (SCC). It provides a unified dashboard for administering software-defined data centers.

Have customers who want the benefits of the cloud, but without moving to the cloud? Suggest that they adopt an on-premises cloud. And tell them how they can do that by running Google GDC on Supermicro SuperBlade servers powered by AMD EPYC processors.

Do more:

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

AMD drives AI with Instinct MI300X, Instinct MI300A, ROCm 6

Featured content

AMD drives AI with Instinct MI300X, Instinct MI300A, ROCm 6

Learn More about this topic
  • Applications:
  • Featured Technologies:

AMD this week formally introduced its AMD Instinct MI300X and AMD Instinct MI300A accelerators, two important elements of the company’s new push into AI.

During the company’s two-hour “Advancing AI” event, held live in Silicon Valley and live-streamed on YouTube, CEO Lisa Su asserted that “AI is absolutely the No. 1 priority at AMD.”

She also said that AI is both “the future of computing” and “the most transformative technology of the last 50 years.”

AMD is leading the AI charge with its Instinct MI300 Series accelerators, designed for both cloud and enterprise AI and HPC workloads. These systems offer GPUs, large and fast memory, and 3D packaging using the 4th gen AMD Infinity Architecture.

AMD is also relying heavily on cloud, OEM and software partners that include Meta, Microsoft and Oracle Cloud. Another partner, Supermicro, announced additions to its H13 generation of accelerated servers powered by 4th Gen AMD EPYC CPUs and AMD Instinct MI300 Series accelerators.

MI300X

The AMD Instinct MI300X is based on the company’s CDNA 3 architecture. It packs 304 GPU cores. It also includes up to 192MB of HBM3 memory with a peak memory bandwidth of 5.3TB/sec. It’s available as 8 GPUs on an OAM baseboard.

The accelerator runs on the latest bus, the PCIe Gen 5, at 128GB/sec.

AI performance has been rated at 20.9 PFLOPS of total theoretical peak FP8 performance, AMD says. And HPC performance has a peak double-precision matrix (FP64) performance of 1.3 PFLOPS.

Compared with competing products, the AMD Instinct MI300X delivers nearly 40% more compute units, 1.5x more memory capacity, and 1.7x more peak theoretical memory bandwidth, AMD says.

AMD is also offering a full system it calls the AMD Instinct Platform. This packs 8 MI300X accelerators to offer up to 1.5TB of HBM3 memory capacity. And because it’s built on the industry-standard OCP design, the AMD Instinct Platform can be easily dropped into an existing servers.

The AMD Instinct MI300X is shipping now. So is a new Supermicro 8-GPU server with this new AMD accelerator.

MI300A

AMD describes its new Instinct MI300A as the world’s first data-center accelerated processing unit (APU) for HPC and AI. It combines 228 cores of AMD CDNA 3 GPU, 224 cores of AMD ‘Zen 4’ CPUs, and 128GB of HBM3 memory with a memory bandwidth of up to 5.3TB/sec.

AMD says the Instinct MI300A APU gives customers an easily programmable GPU platform, high-performing compute, fast AI training, and impressive energy efficiency.

The energy savings are said to come from the APU’s efficiency. As HPC and AI workloads are both data- and resource-intensive, a more efficient system means users can do the same or more work with less hardware.

The AMD Instinct MI300A is also shipping now. So are two new Supermicro servers that feature the APU, one air-cooled, and the other liquid-cooled.

ROCm 6

As part of its push into AI, AMD intends to maintain an open software platform. During CEO Su’s presentation, she said that openness is one of AMD’s three main priorities for AI, along with offering a broad portfolio and working with partners.

Victor Peng, AMD’s president, said the company has set as a goal the creation of a unified AI software stack. As part of that, the company is continuing to enhance ROCm, the company’s software stack for GPU programming. The latest version, ROCm 6, will ship later this month, Peng said.

AMD says ROCm 6 can increase AI acceleration performance by approximately 8x when running on AMD MI300 Series accelerators in Llama 2 text generation compared with previous-generation hardware and software.

ROCm 6 also adds support for several new key features for generative AI. These include FlashAttention, HIPGraph and vLLM.

AMD is also leveraging open-source AI software models, algorithms and frameworks such as Hugging Face, PyTorch and TensorFlow. The goal: simplify the deployment of AMD AI solutions and help customers unlock the true potential of generative AI.

Shipments of ROCm are set to begin later this month.

Do more:

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Research Roundup: GenAI use, public-cloud spend, tech debt’s reach, employee cyber violations

Featured content

Research Roundup: GenAI use, public-cloud spend, tech debt’s reach, employee cyber violations

Catch up on the latest research from leading IT market watchers and analysts. 

Learn More about this topic
  • Applications:
  • Featured Technologies:

Generative AI is already used by two-thirds of organizations. Public-cloud spending levels are forecast to rise 20% next year. Technical debt is a challenge for nearly 75% of organizations. And info-security violations by staff are nearly as common as attacks by external hackers.

That’s some of the latest research from leading IT market watchers and analysts. And here’s your Performance Intensive Computing roundup.

GenAI already used by 2/3 of orgs

You already know that Generative AI is hot, but did you also realize that over two-thirds of organizations are already using it?

In a survey of over 2,800 tech professionals, publisher O’Reilly found that fully 67% of respondents say their organizations currently use GenAI. Of this group, about 1 in 3 also say their organizations have been working with AI for less than a year.

Respondents to the survey were users of O’Reilly products worldwide. About a third of respondents (34%) work in the software industry; 14% in financial services; 11% in hardware; and the rest in industries that include telecom, public sector/government, healthcare and education. By region, nearly three-quarters of respondents (74%) are based in either North America or Europe.

Other key findings from the O’Reilly survey (multiple replies were permitted):

  • GenAI’s top use cases: Programming (77%); data analysis (70%); customer-facing applications (65%)
  • GenAI’s top use constraints: Lack of appropriate use cases (53%); legal issues, risk and compliance (38%)
  • GenAI’s top risks: Unexpected outcomes (49%); security vulnerabilities (48%); safety and reliability (46%)

Public-cloud spending to rise 20% next year

Total worldwide spending by end users on the public cloud will rise 20% between this year and next, predicts Gartner. This year, the market watcher adds, user spending on the public cloud will total $563.6 billion. Next year, this spend will rise to $678.8 billion.

“Cloud has become essentially indispensable,” says Gartner analyst Sid Nag.

Gartner predicts that all segments of the public-cloud market will grow in 2024. But it also says 2 segments will grow especially fast next year: Infrastructure as a Service (IaaS), predicted to grow nearly 27%; and Platform as a Service (PaaS), forecast to grow nearly 22.

What’s driving all this growth? One factor: industry cloud platforms. These combine Software as a Service (SaaS), PaaS and IaaS into product offerings aimed at specific industries.

For example, enterprise software vendor SAP offers industry clouds for banking, manufacturing, HR and more. The company says its life-sciences cloud helped Boston Scientific, a manufacturer of medical devices, reduce inventory and order-management operational workloads by as much as 45%.

Gartner expects that by 2027, industry cloud platforms will be used by more than 70% of enterprises, up from just 15% of enterprises in 2022.

Technical debt: a big challenge

Technical debt—older hardware and software that no longer supports an organization’s strategies—is a bigger problem than you might think.

In a recent survey of 523 IT professionals, conducted for IT trade association CompTIA, nearly three-quarters of respondents (74%) said their organizations find tech debt to be a challenge.

An even higher percentage of respondents (78%) say their work is impeded by “cowboy IT,” shadow IT and other tech moves made without the IT department’s involvement. Not incidentally, these are among the main causes of technical debt, mainly because they are not acquired as part of the organization’s strategic goals.

Fortunately, IT pros are also fighting back. Over two-thirds of respondents (68%) said they’ve made erasing technical debt a moderate or high priority.

Cybersecurity: Staff violations nearly as widespread as hacks

Employee violations of organizations’ information-security policies are nearly as common as attacks by external hackers, finds a new survey by security vendor Kaspersky

The survey reached 1,260 IT and security professionals worldwide. It found that 26% of cyber incidents in business occurred due to employees intentionally violating their organizations’ security protocols. By contrast, hacker attacks accounted for 30%—not much higher.

Here’s the breakdown of those policy violations by employees, according to Kaspersky (multiple replies were permitted):

  • 25%: Using weak passwords or failing to change passwords regularly
  • 24%: Visiting unsecured websites
  • 24%: Using unauthorized systems for sharing data
  • 21%: Failing to update system software and applications
  • 21%: Accessing data with an unauthorized device
  • 20%: Sending data (such as email addresses) to personal systems
  • 20%: Intentionally engaging in malicious behavior for personal gain

The issue is far from theoretical. Among respondents to the Kaspersky survey, fully a third (33%) say they’ve suffered 2 or 3 cyber incidents in the last 2 years. And a quarter (25%) say that during the same time period, they’ve been the subject of at least 4 cyberattacks.

Do more:

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Need help turning your customers’ data into actionable insights?

Featured content

Need help turning your customers’ data into actionable insights?

Your customers already have plenty of data. What they need now are insights. Supermicro, AMD and Cloudera are here to help.

Learn More about this topic
  • Applications:
  • Featured Technologies:

Your customers already have plenty of data. What they need now are insights.

Data just sits there, taking up costly storage and real estate. But actionable insights can help your customers strengthen their overall business, improve their business processes, and create new products and services.

Increasingly, these insights are based on data captured at the edge. For example, a retailer might collect customer and sales data using the point-of-sale terminals in its stores.

Supermicro is here to help. Its edge systems, including the latest WIO and short-depth servers powered by AMD processors, have been designed to collect data at the business edge.

These servers are powered by AMD’s EPYC 8004 Series processors. Introduced in September, these CPUs extend the company’s ‘Zen4c’ architecture into lower-core-count processors designed for edge servers and form factors.

GrandTwin too

For more insights, tell your customers to check out Supermicro’s GrandTwin servers. They’re powered by AMD EPYC 9004 processors and can run Cloudera Data Flow (CDF), a scalable, real-time streaming analytics platform.

The Supermicro GrandTwin systems provide a multi-node rackmount platform for cloud data centers. They come in 2U with 4 nodes for optimal deployment.

These systems offer AMD’s 4th Gen EPYC 9004 Series of general-purpose processors, which support DDR-5 4800 memory and PCI Express Gen 5 I/O.

Distributed yet united

If you’re unfamiliar with Cloudera, the company’s approach is based on a simple idea: single clouds are passé. Instead, Cloudera supports a hybrid data platform, one that can be used with any cloud, any analytics and any data.

The company’s idea is that data-management components should be physically distributed, but treated as a cohesive whole with AI and automation.

Cloudera’s CDF solution ingests, curates and analyzes data for key insights and immediate actionable information. That can include issues or defects that need remediating. And AI and machine learning systems can use the data to suggest real-time improvements.

More specifically, CDF delivers flow management, edge management, streams processing, streams management, and streaming analytics.

The upshot: Your customers need actionable insights, not more data. And to get those insights, they can check out the powerful combination of Supermicro servers, AMD processors and Cloudera solutions.

Do more:

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Tech Explainer: What is the intelligent edge? Part 2

Featured content

Tech Explainer: What is the intelligent edge? Part 2

The intelligent edge has emerged as an essential component of the internet of things. By moving compute and storage close to where data is generated, the intelligent edge provides greater control, flexibility, speed and even security.

Learn More about this topic
  • Applications:
  • Featured Technologies:

The Internet of Things (IoT) is all around us. It’s in the digital fabric of a big city, the brain of a modern factory, the way your smart home can be controlled from a tablet, and even the tech telling your fridge it’s time to order a quart of milk.

As these examples show, IoT is fast becoming a must-have. Organizations and individuals alike turn to the IoT to gain greater control and flexibility over the technologies they regularly use. Increasingly, they’re doing it with the intelligent edge.

The intelligent edge moves command and control from the core to the edge, closer to where today’s smart devices and sensors actually are installed. That’s needed because so many IoT devices and connections are now active, with more coming online every day.

Communicating with millions of connected devices via a few centralized data centers is the old way of doing things. The new method is a vast network of local nodes capable of collecting, processing, analyzing, and making decisions from the IoT information as close to its origin as possible.

Controlling IoT

To better understand the relationship between IoT and intelligent edge, let’s look at two use cases: manufacturing and gaming.

Modern auto manufacturers like Tesla and Rivian use IoT to control their industrial robots. Each robot is fitted with multiple sensors and actuators. The sensors report their current position and condition, and the actuators control the robot’s movements.

In this application, the intelligent edge acts as a small data center in or near the factory where the robots work. This way, instead of waiting for data to transfer to a faraway data center, factory managers can use the intelligent edge to quickly capture, analyze and process data—and then act just as quickly.

Acting on that data may include performing preventative or reactive maintenance, adjusting schedules to conserve power, or retasking robots based on product configuration changes. 

The benefits of a hyper-localized setup like this can prove invaluable for manufacturers. Using the intelligent edge can save them time, money and person-hours by speeding both analysis and decision-making.

For manufacturers, the intelligent edge can also add new layers of security. That’s because data is significantly more vulnerable when in transit. Cut the distance the data travels and the use of external networks, and you also eliminate many cybercrime threat vectors.

Gaming is another marquee use case for the intelligent edge. Resource-intensive games such as “Fortnite” and “World of Warcraft” demand high-speed access to the data generated by the game itself and a massive online gaming community of players. With speed at such a high premium, waiting for that data to travel to and from the core isn’t an option.

Instead, the intelligent edge lets game providers collect and process data near their players. The closer proximity lowers latency by limiting the distance the data travels. It also improves reliability. The resulting enhanced data flow makes gameplay faster and more responsive.

Tech at the edge

The intelligent edge is sometimes described as a network of localized data centers. That’s true as far as it goes, but it’s not the whole story. In fact, the intelligent edge infrastructure’s size, function and location come with specific technological requirements.

Unlike a traditional data center architecture, the edge is often better served by rugged form factors housing low-cost, high-efficiency components. These components, including the recently released AMD EPYC 8004 Series processors, feature fewer cores, less heat and lower prices.

The AMD EPYC 8004 Series processors share the same 5nm ‘Zen4c’ core complex die (CCD) chiplets and 6nm AMD EPYC I/O Die (IOD) as the more powerful AMD EPYC 9004 Series.

However, the AMD EPYC 8004s offers a more efficiency-minded approach than its data center-focused cousins. Nowhere is this better illustrated than the entry-level AMD EPYC 8042 processor, which provides a scant 8 cores and a thermal design power (TDP) of just 80 watts. AMD says this can potentially save customers thousands of dollars in energy costs over a five-year period.

To deploy the AMD silicon, IT engineers can choose from an array of intelligent edge systems from suppliers, including Supermicro. The selection includes expertly designed form factors for industrial, intelligent retail and smart-city deployments.

High-performance rack mount servers like the Supermicro H13 WIO are designed for enterprise-edge deployments that require data-center-class performance. The capacity to house multiple GPUs and other hardware accelerators makes the Supermicro H13 an excellent choice for deploying AI and machine learning applications at the edge.

The future of the edge

The intelligent edge is another link in a chain of data capture and analysis that gets longer every day. As more individuals and organizations deploy IoT-based solutions, an intelligent edge infrastructure helps them store and mine that information faster and more efficiently.

The insights provided by an intelligent edge can help us improve medical diagnoses, better control equipment, and more accurately predict human behavior.

As the intelligent edge architecture advances, more businesses will be able to deploy solutions that enable them to cut costs and improve customer satisfaction simultaneously. That kind of deal makes the journey to the edge worthwhile.

Part 1 of this two-part blog series on the intelligent edge looked at the broad strokes of this emerging technology and how organizations use it to increase efficiency and reliability. Read Part 1 now.

Do more:

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Research Roundup: AI chip sales, AI data centers, sustainability services, manufacturing clouds, tech-savvy or not

Featured content

Research Roundup: AI chip sales, AI data centers, sustainability services, manufacturing clouds, tech-savvy or not

Learn More about this topic
  • Applications:

Sales of AI semiconductors are poised for big growth. AI is transforming the data center. Sustainability services are hot. Manufacturers are saving big money with cloud. And Americans are surprisingly lacking in tech understanding.

That’s some of the latest IT market research. And here’s your Performance Intensive Computing roundup.

AI chip sales to rise 21% this year

Sales of semiconductors designed to execute AI workloads will rise this calendar year by 20.9% over last year, reaching a worldwide total of $53.4 billion, predicts research firm Gartner.

Looking further ahead, Gartner expects worldwide sales of AI chips in 2024 to reach $67.1 billion, a 25% increase over the projected figure for this year.

And by 2027, Gartner forecasts, those sales will top $119 billion, or more than double this year’s market size.

What’s behind the rapid rise? Two main factors, says Gartner: Generative AI, and the spread of AI-based applications in data centers, edge infrastructure and endpoint devices.

AI transforming data centers

Generative AI is transforming the data center, says Lucas Beran, a market analyst with Dell’Oro Group. Last month, his research group predicted that AI infrastructure spending will propel the data center CapEx to over a half-trillion dollars by 2027, an increase of 15%. (That figure is larger than Gartner’s because it includes more than just chips.) Now Dell’Oro says AI is ushering in a new era for data center physical infrastructure.

Here’s some of what Beran of Dell’Oro expects:

  • Due the substantial power consumption of AI systems, end users will adopt intelligent rack power distribution units (PDUs) that can remotely monitor and manage power consumption and environmental factors.
  • Liquid cooling will come into its own. Some users will retrofit existing cooling systems with closed-loop assisted liquid cooling systems. These use liquid to capture heat generated inside the rack or server, then blow it into a hot aisle. By 2025, global sales of liquid cooling systems will approach $2 billion.
  • A lack of power availability could slow AI adoption. Data centers need more energy than utilities can supply. One possible solution: BYOP – bring your own power.

Sustainability services: $65B by 2027

Speaking of power and liquid cooling, a new forecast from market researcher IDC has total sales of environmental, social and governance (ESG) services rising from $37.7 billion this year to nearly $65 billion by 2027, for a compound annual growth rate (CAGR) of nearly 15%.

For its forecast, IDC looked at ESG services that include consulting, implementation, engineering and IT services.

These services include ESG strategy development and implementation, sustainable operations consulting, reporting services, circularity consulting, green IT implementation services, and managed sustainability performance services. What they all share is the common goal of driving sustainability-related outcomes.

Last year, nearly two-thirds of respondents surveyed by IDC said they plan to allocate more than half their professional-services spending on sustainability services. Looking ahead, IDC expects that to rise to 60% by 2027.

"Pressure for [ESG] change is more prescient than ever,” says IDC research analyst Dan Versace. “Businesses that fail to act face risk to their brand image, financial performance, and even their infrastructure due to the ever-present threat of extreme weather events and resource shortages caused by climate change.”

Manufacturers finally see the cloud

For manufacturers, IT is especially complicated. Unlike banks and other purely digital businesses, manufacturers have to tie IT systems and networks with physical plants and supply chains.

That’s one reason why manufacturers have been comparatively slow to adopt cloud computing. Now that’s changing. In part, as a new report from ABI Research points out, because manufacturers that switch to cloud-based systems can enjoy up to 60% reductions in overhead costs relating to data storage, says James Iversen, an ABI industry analyst.

Iversen predicts that industrial cloud platform revenue in manufacturing will enjoy a nearly 23% CAGR for the coming decade.

Another benefit for manufacturers: The cloud can eliminate the data fragmentation common with external data warehouses. “Cloud manufacturing providers are eliminating these concerns by interconnecting applications bi-directionally,” Iversen says, “leading to sharing and communication between applications and their data.”

How tech-savvy are your customers?

If they’re like most Americans, not very.

A Pew Research Center poll of about 5,100 U.S. adults, conducted this past spring and just made public, found that fewer than a third (32%) knew that large language models such as ChatGPT produce answers from data already published on the internet.

Similarly, only about one in five (21%) knew that U.S. websites are prohibited from collecting data on minors under the age of 13.

Fewer than half of those polled (42%) knew what a deepfake is. And only a similar minority (48%) could identify an example of two-factor authentication.

What tech info do they know? Well, 80% of respondents correctly identified Elon Musk as the boss of Tesla and Twitter (now X). And nearly as many (77%) knew that Facebook had changed its name to Meta.

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Research Roundup: spending rises on global IT, public cloud and cybersec; 8 in 10 finance firms breached

Featured content

Research Roundup: spending rises on global IT, public cloud and cybersec; 8 in 10 finance firms breached

Catch up on the latest market research on IT spending, public cloud and cybersecurity.

Learn More about this topic
  • Applications:

The worldwide IT market this year will be top $4.5 trillion. Spending on public cloud rose nearly 23% in Q1. And although security spending rose nearly 12% earlier this year, nearly 8 in 10 financial-services firms have suffered a cyber breach.

That’s some of the latest tech market research. And here’s your Performance Intensive roundup.

Worldwide IT market

How big is the worldwide IT market? Big indeed—about $4.7 trillion. That’s the forecast for this year from advisory firm Gartner.

Assuming Gartner’s right, that would mark an increase over last year’s spending of 4.3%.

Some sectors are growing faster than others. Take software. Gartner expects the global software spend will rise 13.5% this year over last, for a worldwide total of $911 billion. Looking ahead to next year, Gartner expects more of the same: software spending in 2024 will rise 14%, exceeding $1 trillion.

The second-fastest growing sector is IT services. For this sector, Gartner predicts spending will rise nearly 9% this year over last, for a 2023 global total of $1.4 trillion. And next year, Gartner expects, services spending will rise by an even higher 11%, totaling $1.58 trillion worldwide.

How about spending on the new hot technology, generative AI? Surprisingly, Gartner says it has not yet made a significant impact. Instead, says Gartner analyst John-David Lovelock, “most enterprises will incorporate generative AI in a slow and controlled manner through upgrades to tools already built into their IT budgets.”

Public cloud

Public-cloud spending is on a tear. Last year, according to market watcher IDC, worldwide revenue for public-cloud services rose nearly 23% over 2021’s level, for a total of $545.8 billion.

The largest segment by revenue was SaaS applications, accounting for more than 45% of the total, or about $246 million. It was followed by IaaS (21% market share), PaaS (17%) and SaaS system infrastructure software (16%), IDC says.

By vendor, just 5 suppliers—Microsoft, AWS, Salesforce, Google and Oracle—collectively captured more than 40% of the 2022 global public-cloud market. The No. 1 spot was held by Microsoft, with a market share of nearly 17%.

Being on top is important. “Most organizations,” says Lara Greden, an IDC researcher, “rank their public-cloud provider as their most strategic technology partner.”

Finance cyber breaches

Cyber breaches used to be rare events. No more. A new report finds that nearly 8 in 10 financial-services organizations (78%) have experienced a cyber breach, cyber threat and data theft.

The report was compiled by Skyhigh Security, a cloud-native security vendor that worked with market researcher Vanson Bourne to poll nearly 125 IT decision-makers in 9 countries, including the U.S. and Canada. Respondents all worked for large financial-services organizations with at least 500 employees.

Why is financial services such a big target for cybercrooks? Because, as Willie Sutton reportedly quipped when asked why he robbed banks, “that’s where the money is.”

Skyhigh’s survey also found that about 6 in 10 financial-services firms store sensitive data in the public cloud, although Skyhigh didn’t correlate that with the high percentage of companies that have been cybercrime targets. But one way to secure cloud data, using a cloud access security broker, is employed by fewer than half the respondents (44%).

Also, more than 8 in 10 survey respondents believe that “shadow IT”—the practice of non-IT business units acquiring tech hardware, software and services without the IT department’s approval or knowledge—impairs their ability to keep data secure.

Cyber spending

All those attacks are certainly not due to a lack of spending. Indeed, global spending on cybersecurity products and services rose by 12.5% year-on-year in this year’s first quarter, according to market watcher Canalys.

Spending growth was fastest among midsize organizations, those with 100 to 499 employees, Canalys finds. Within this group, cybersec spending in Q1 rose 13.5% year-on-year.

Spending rose almost as fast for large organizations, those with 500 or more employees: an increase of 13.3%. For small businesses, those with 10 to 99 employees, cybersec spending in Q1 rose just 7.5%, Canalys says.

Market concentration is evident here, too. Nearly half of all cybersec spending (48.6%) went to just 12 vendors, Canalys finds. Three in particular dominated during Q1: Palo Alto Networks (8.7% market share), Fortinet (7%) and Cisco (6.1%).

By region, Canalys finds, North America to have been the largest market for cybersecurity products and services in Q1, at $9.7 billion. But both EMEA and Latin America saw faster sales growth: 13.4% for EMEA and 15.2% for LatAm, compared with 12.3% for North America.

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Supermicro H13 JumpStart remote access program adds latest AMD EPYC processors

Featured content

Supermicro H13 JumpStart remote access program adds latest AMD EPYC processors

Get remote access to the next generation of AMD-powered servers from Supermicro.

Learn More about this topic
  • Applications:
  • Featured Technologies:

Supermicro’s H13 JumpStart Remote Access program—which lets you use Supermicro servers before you buy—now includes the latest Supermicro H13 systems powered by 4th gen AMD EPYC 9004 processors.

These include servers using the two new AMD EPYC processor series introduced in June. One, previously codenamed Bergamo, is optimized for cloud-native workloads. The other, previously codenamed Genoa-X, is equipped with AMD 3D V-Cache technology and is optimized for technical computing.

Supermicro’s free H13 JumpStart program lets you and your customers validate, test and benchmark workloads remotely on Supermicro H13 systems powered by these new AMD processors.

The latest Supermicro H13 systems deliver performance and density with some cool technologies. These include AMD EPYC processors with up to 128 “Zen 4c” cores per socket, DDR5 memory, PCIe 5.0, and CXL 1.1 peripherals support.

Those AMD Zen 4c cores are designed for the sweet spot of both density and power efficiency. Compared with AMD’s previous generation (Zen 4), the new design offers substantially improved performance per watt.

Get started

Getting started with Supermicro’s H13 JumpStart program is simple. Just sign up with your name, email and a brief description of what you plan to do with the system.

Next, Supermicro will verify your information and your request. Assuming you qualify, you’ll receive a welcome email from Supermicro, and you’ll be scheduled to gain access to the JumpStart server.

Next, you’ll be given a unique username, password and URL to access your JumpStart account. Then you can run your test, try new features, and benchmark your application.

Once you’re done, Supermicro will ask you to complete a quick survey for your feedback on the program. That’s it.

The H13 JumpStart program now offers 3 server configurations. These include Supermicro’s dual-processor 2U Hyper (AS -2025HS-TNR); single-processor 2U Cloud DC (AS -2015CS-TNR); and single-processor 2U Hyper-U (AS -2115HS-TNR).

Do more:

 

Featured videos


Events


Find AMD & Supermicro Elsewhere

Pages