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Supermicro expands rack capacity so you get servers faster & greener

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Supermicro expands rack capacity so you get servers faster & greener

Supermicro recently announced that it has expanded its capacity and can now provide 5,000 fully integrated, liquid-cooled racks per month. 

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Would you and your customers like to get faster delivery of Supermicro rackmount systems while also helping the environment?

Now you can.

Supermicro recently announced that it has expanded its capacity and can now provide 5,000 fully integrated, liquid-cooled racks per month. That’s because Supermicro now has integration facilities in four countries: the United States, Taiwan, Netherlands and Malaysia.

Supermicro also keeps in stock a certain number of commonly ordered rack configurations, what the company calls “golden SKUs.”

Between those systems and the company’s global locations, Supermicro can now deliver its rackmount systems both faster and over shorter distances. For example, Supermicro could ship a system to a customer in, say, Michigan from its Silicon Valley facility rather than from halfway around the world from Taiwan.

That shorter shipping distance also means less fuel needed and less polluting greenhouse gas produced. That’s an environmental win-win.

Get rolling with a rack

You can rely on Supermicro for data center IT solutions including on-site delivery, deployment, integration and benchmarking to achieve optimal operational efficiency.

Here’s how Supermicro’s rack delivery works in 3 steps:

Step 1: You start with proven reference designs for rapid installation while considering your clients' unique business objectives.

Step 2: You then work collaboratively with Supermicro-qualified experts to design optimized solutions for specific workloads. A prototype is designed and created for small-scale testing.

Step 3: Upon delivery, the racks need only be connected to power, networking and the liquid-cooling infrastructure. In other words, it’s a nearly seamless plug-and-play methodology.

Two areas of special interest for Supermicro are AI and liquid cooling. For AI, Supermicro plans to support AMD’s forthcoming MI300X GPU/CPU system, expected to be formally announced later this year. As for liquid cooling, it’s a technology Supermicro expects will soon be adopted by as many as 1 in 5 data centers worldwide as CPUs and GPUs continue to get hotter.

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Meet the newest 3rd gen AMD EPYC processors

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Meet the newest 3rd gen AMD EPYC processors

AMD extends 3rd Gen EPYC CPU lineup to deliver greater price/performance for mainstream server applications.

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Are you or your customers looking for server processors that offer great price/performance, modern security, and energy efficiency for less technically demanding mainstream business workloads?

If so, AMD has some new server CPUs for you.

“We have seen a clear opportunity to give our customers more options,” says Dan McNamara, GM of AMD’s server business.

Expanded value options

The six new SKUs are actually part of AMD’s 3rd generation EPYC processor family. Originally introduced nearly three years ago, the 3rd gen AMD EPYCs have since been joined by the company’s 4th Gen.

So why might your customers be interested in new 3rd gen CPUs from AMD?

Several reasons. One, they might not need the latest AMD processor features, which include support for both DDR5 memory and PCIe Gen 5 connectivity. The new members of AMD’s 3rd gen EPYC family, which use the company’s Zen 3 cores, support up to 8 channels of the older DDR4 memory and up to 128 lanes of PCIe Gen 4.

By contrast, AMD’s 4th gen EPYC processors, with their Zen 4 cores, support both DDR5 and PCIe Gen 5. For some companies, AMD says, the upgrade to these newer technologies is “still high on the cost curve.”

Price/performance, too

Another reason is to get in on the new price/performance gains. Four of the six new SKUs are 8- and 16-core processors, and their retail prices range from just under $340 to just over $600. The other two CPUs offer 48 and 56 cores.

Yet another reason: modern security features that include AMD Infinity Guard. It’s a full suite of security features, built into silicon, that includes encrypted virtualization; nested paging; memory encryption; and AMD Shadow Stack, which offers hardware-enforced protection against malware.

The new AMD processors are fully compatible with existing AMD EPYC 7003 series-based server systems. And AMD’s major partners, including Supermicro, have said they’ll support the new 3rd Gen AMD EPYC processors in their enterprise server solutions.

Supermicro works closely with AMD to offer a wide range of application-optimized servers in its H13 product line. These systems, which support the new AMD EPYC processors, are designed for applications that need powerful processing performance, but may have thermal constraints.

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Supermicro server powered by AMD Ryzen CPU gets high marks in STAC-N1 audit

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Supermicro server powered by AMD Ryzen CPU gets high marks in STAC-N1 audit

A new benchmark test finds that Supermicro servers powered by AMD Ryzen processors offer super-low latency (where lower is better) and super-high throughput (where higher is better).

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Supermicro servers powered by AMD Ryzen processors offer super-low latency (where lower is better) and super-high throughput (where higher is better).

But don’t take our word for it.

Those are some of the findings in a new benchmark test conducted by the Strategic Technology Analysis Center, better known by its acronym, STAC.

Test configuration

AMD recently asked STAC to perform STAC-N1 Benchmark tests on a solution utilizing AMD Ryzen processors in Supermicro A+ Supermicro AS -2015A-TR servers, each configured with the following:

  • One 16-core AMD Ryzen 7950X processor @ 4.5 GHz (5.7 GHz Boost)
  • One AMD Xilinx XtremeScale X2522-25G-PLUS adapter with OpenOnload 8.1.1.17
  • Red Hat Enterprise Linux 9.2

Communication was over 25GbE cross connects. Forward error correction (FEC) was disabled.

The SUT (system under test) ID number was AMD231005.

About the benchmark

STAC conducted the benchmark test using its STAC-N1 benchmark, which tests a network stack using a market data style workload.

STAC-N1 is designed to be vendor-neutral. And it can test different combinations of network API, I/O mode, network stack, OS and system hardware.

Once the benchmark is run, STAC compares the results against all publicly disclosed results of the same test.

The results

And here are the benchmark test results for the system with Supermicro AS -2015A-TR servers powered by AMD Ryzen processors:

  • Latency: The lowest for a base rate of 100,000 messages per second. This was true for all four measures: mean, median, 99th percentile, and maximum latency. (Benchmark ID STAC.N1.Ꞵ1.PINGPONG.LAT1.)
  • Throughput: The highest maximum tested at 1.6 million messages per second. (Benchmark ID STAC.N1.Ꞵ1.PINGPONG.TPUT1.)
  • SupplyToReceive latency: The lowest at the highest rate tested. Again, this was the case for all four measures: mean, median, 99th percentile, and maximum. (Benchmark ID STAC.N1.Ꞵ1.PINGPONG.LAT2.)
  • SendToReceive latency: Also the lowest at the highest rate tested. And again, for all four measures: mean, median, 99th percentile, and maximum. (Benchmark ID STAC.N1.Ꞵ1.PINGPONG.LAT3.)

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Note: STAC and all STAC names are trademarks or registered trademarks of the Strategic Technology Analysis Center.

 

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Research Roundup: GenAI, 10 IT trends, cybersecurity, CEOs, and privacy

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Research Roundup: GenAI, 10 IT trends, cybersecurity, CEOs, and privacy

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

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Generative AI is booming. Ten trends will soon rock your customers’ world. While cybersecurity spending is up, CEOs lack cyber confidence. And Americans worry about their privacy.

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

GenAI market to hit $143B by 2027

Generative AI is quickly becoming a big business.

Market watcher IDC expects that spending on GenAI software, related hardware and services will this year reach nearly $16 billion worldwide.

Looking ahead, IDC predicts GenAI spending will reach $143 billion by 2027. That would represent a compound annual growth rate (CAGR) over the years 2023 to 2027 of 73%—more than twice the growth rate in overall AI spending.

“GenAI is more than a fleeting trend or mere hype,” says IDC group VP Ritu Jyoti.

Initially, IDC expects, the largest GenAI investments will go to infrastructure, including hardware, infrastructure as a service (IaaS), and system infrastructure software. Then, once the foundation has been laid, spending is expected to shift to AI services.

Top 10 IT trends

What will be top-of-mind for your customers next year and beyond? Researchers at Gartner recently made 10 predictions:

1. AI productivity will be a primary economic indicator of national power.

2. Generative AI tools will reduce modernization costs by 70%.

3. Enterprises will collectively spend over $30 billion fighting “malinformation.”

4. Nearly half of all CISOs will expand their responsibilities beyond cybersecurity, driven by regulatory pressure and expanding attack surfaces.

5. Unionization among knowledge workers will increase by 1,000%, motivated by fears of job loss due to the adoption of GenAI.

6. About one in three workers will leverage “digital charisma” to advance their careers.

7. One in four large corporations will actively recruit neurodivergent talent—including people with conditions such as autism and ADHD—to improve business performance.

8. Nearly a third of large companies will create dedicated business units or sales channels for machine customers.

9. Due to labor shortages, robots will soon outnumber human workers in three industries: manufacturing, retail and logistics.

10. Monthly electricity rationing will affect fully half the G20 nations. One result: Energy efficiency will become a serious competitive advantage.

Cybersecurity spending in Q2 rose nearly 12%

Heightened threat levels are leading to heightened cybersecurity spending.

In the second quarter of this year, global spending on cybersecurity products and services rose 11.6% year-on-year, reaching a total of $19 billion worldwide, according to Canalys.

A mere 12 vendors received nearly half that spending, Canalys says. They include Palo Alto Networks, Fortinet, Cisco and Microsoft.

One factor driving the spending is fear, the result of a 50% increase in the number of publicly reported ransomware attacks. Also, the number of breached data records more than doubled in the first 8 months of this year, Canalys says.

All this increased spending should be good for channel sellers. Canalys finds that nearly 92% of all cybersecurity spending worldwide goes through the IT channel.

CEOs lack cyber confidence

Here’s another reason why cybersecurity spending should be rising: Roughly three-quarters of CEOs (74%) say they’re concerned about their organizations’ ability to avert or minimize damage from a cyberattack.

That’s according to a new survey, conducted by Accenture, of 1,000 CEOs from large organizations worldwide.

Two findings from the Accenture survey really stand out:

  • Nearly two-thirds of CEOs (60%) say their organizations do not incorporate cybersecurity into their business strategies, products or services
  • Nearly half (44%) the CEOs believe cybersecurity can be handled with episodic interventions rather than with ongoing, continuous attention.

Despite those weaknesses, nearly all the surveyed CEOs (96%) say they believe cybersecurity is critical to their organizations’ growth and stability. Mind the gap!

How do Americans view data privacy?

Fully eight in 10 Americans (81%) are concerned about how companies use their personal data. And seven in 10 (71%) are concerned about how their personal data is used by the government.

So finds a new Pew Research Center survey of 5,100 U.S. adults. The study, conducted in May and published this month, sought to discover how Americans think about privacy and personal data.

Pew also found that Americans don’t understand how their personal data is used. In the survey, nearly eight in 10 respondents (77%) said they have little to no understanding of how the government uses their personal data. And two-thirds (67%) said the same thing about businesses, up from 59% a year ago.

Another key finding: Americans don’t trust social media CEOs. Over three-quarters of Pew’s respondents (77%) say they have very little or no trust that leaders of social-medica companies will publicly admit mistakes and take responsibility.

And about the same number (76%) believe social-media companies would sell their personal data without their consent.

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Tech Explainer: How does design simulation work? Part 1

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Tech Explainer: How does design simulation work? Part 1

Design simulation lets designers and engineers create, test and improve designs of real-world airplanes, cars, medical devices and more while working safely and quickly in virtual environments. This workflow also reduces the need for physical tests and allows designers to investigate more alternatives and optimize their products.

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Design simulation is a type of computer-aided engineering used to create new products, reducing the need for physical prototypes. The result is a faster, more efficient design process in which complex physics and math do much of the heavy lifting.

Rapid advances in CPUs and GPUs that are used to perform simulation and software have made it possible to shift product design from the physical world to a virtual one.

In this virtual space, engineers can create and test new designs as quickly as their servers can calculate the results and then render them with visualization software.

Getting better all the time

Designing via AI-powered virtual simulation offers significant improvements over older methods.

Back in the day, it might have taken a small army of automotive engineers years to produce a single new model. Prototypes were often sculpted from clay and carted into a wind tunnel to test aerodynamics.

Each new model went through a seemingly endless series of time-consuming physical simulations. The feedback from those tests would literally send designers back to the drawing board.

It was an arduous and expensive process. And the resources necessary to accomplish these feats of engineering often came at the expense of competition. Companies whose pockets weren’t deep enough might fail to keep up.

Fast-forward to the present. Now, we’ve got smaller design teams aided by increasingly powerful clusters of high-performance systems.

These engineers can tweak a car’s crumple zone in the morning … run the new version through a virtual crash test while eating lunch … and send revised instructions to the design team before day’s end.

Changing designs, saving lives

Faster access to this year’s Ford Mustang is one thing. But if you really want to know how design simulation is changing the world, talk to someone whose life was saved by a mechanical heart valve.

Using the latest tech, designers can simulate new prosthetics in relation to the physiology they’ll inhabit. Many factors come into play here, including size, shape, materials, fluid dynamics, failure models and structural integrity over time.

What’s more, it’s far better to theorize how a part will interact with the human body before the doctor installs it. Simulations can warn medical pros about potential infections, rejections and physical mismatches. AI can play a big part in these types of simulations and manufacturing.

Sure, perfection may be unattainable. But the closer doctors get to a perfect match between a prosthetic and its host body, the better the patient will fair after the procedure.

Making the business case

Every business wants to cut costs, increase efficiency and get an edge over the competition. Here, too, design simulation offers a variety of ways to achieve those lofty goals.

As mentioned above, simulation can drastically reduce the need for expensive physical prototypes. Creating and testing a new airplane design virtually means not having to come within 100 miles of a runway until the first physical prototype is ready to take flight. 

Aerospace and automotive industries rely heavily on both the structural integrity of an assembly but also on computational fluid dynamics. In this way, simulation can potentially save an aerospace company billions of dollars over the long run.

What’s more, virtual airplanes don’t crash. They can’t be struck by lightning. And in a virtual passenger jet, test pilots don’t need to worry about their safety.

By the time a new aircraft design rolls onto the tarmac, it’s already been proven air-worthy—at least to the extent that a virtual simulation can make those kinds of guarantees.

Greater efficiency

Simulation makes every aspect of design more efficient. For instance, iteration, a vital element of the design process, becomes infinitely more manageable in a simulated environment.

Want to find out how a convertible top will affect your new supercar’s 0-to-60 time? Simulation allows engineers to quickly replace the hard-top with some virtual canvas and then create a virtual drag race against the original model.

Simulation can take a product to the manufacturing phase, too. Once a design is finished, engineers can simulate its journey through a factory environment.

This virtual factory, or digital twin, can help determine how long it will take to build a product and how it will react to various materials and environmental conditions. It can even determine how many moves a robot arm will need to make and when human intervention might become necessary. This process helps engineers optmize the manufacturing process.

In countless ways, simulation has never been more real.

In Part 2 of this 2-part blog, we’ll explore the digital technology behind design simulation. This cutting-edge technology is made possible by the latest silicon, vast swaths of high-speed storage, and sophisticated blade servers that bring it all together.

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OCP Global Summit demos the power of collaboration for the data center

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OCP Global Summit demos the power of collaboration for the data center

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Thousands of data-center professionals will gather in Silicon Valley this month for the 2023 OCP Global Summit.

This in-person event, sponsored by the Open Compute Project, will be held in San Jose, Calif., on Oct. 17 – 19.

The theme for this year’s conference: “Scaling innovation through collaboration.”

About OCP

OCP members share data center products and best practices that apply open standards. The group’s projects include server design, data storage, rack design, energy-efficient data centers, open networking switches, and servers.

The OCP requires that all contributions meet at least 3 of its 5 core tenets:

  • Efficiency: including power delivery, thermal, platform, overall cost, latencies
  • Impact: including efficiency gains, use of new tech, more robust supply chain
  • Openness: strive to comply with existing open interfaces
  • Scalability: can be used in large-scale deployments.
  • Sustainability: Be transparent about environmental impact, and aspire to improve over time.

OCP began as a Facebook project, launched in 2009, to build an energy-efficient data center. That led to the opening of a Facebook data center in Pineville, Ore., that the company says is 24% less expensive to run than its previous facilities.

That led to OCP being founded in 2011. Today the nonprofit organization has nearly 300 corporate members and over 6,000 active participants. Membership is available in four levels — community, silver, gold and platinum.

OCP’s membership list is a veritable who’s who of tech. Members include Amazon, AMD, Arm, AT&T, Cisco, Dell, Google, HPE, IBM, Lenovo, Meta, Supermicro and Tencent.

AMD & Supermicro participating

Among the keynote speakers at this year’s OCP Global Summit will be Forrest Norrod, executive VP and GM of the data center solutions business group at AMD. He’ll be giving a presentation on Oct. 17 entitled, “Together we advance the modern data center.”

Also, Supermicro will be showing three of its servers at the OCP Global Summit:

  • Supermicro CloudDC A+ Server: Designed for data center, web server, cloud computing and more, this 1U rackmount server is powered by a single AMD EPYC 9004 Series processor.
  • Supermicro Hyper A+ Server: This 2U server is intended for virtualization, AI inference and machine learning, software-defined storage, cloud computing, and use as an enterprise server. It’s powered by dual AMD EPYC 9004 Series processors.
  • Supemicro Storage A+ Server: This 2U storage device can handle software-defined storage, cloud, in-memory computing, data-intensive HPC workloads, and NVMe-over-fabric solutions. It’s powered by a single AMD EPYC 9004 Series processor.

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Need help turning your customers’ data into actionable insights?

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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.

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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.

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Supermicro celebrates 30 years of business

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Supermicro celebrates 30 years of business

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Supermicro Inc. is celebrating its 30th year of research, development and manufacturing.

At the company, formed in 1993, some things remain the same. Founder Charles Liang remains Supermicro’s president and CEO. And the company is still based in California’s Silicon Valley.

Of course, in 30 years a lot has also changed, too. For one, AI is now a critical component. And Supermicro, with help from component makers including AMD, is offering a range of solutions designed with AI in mind. Also, Supermicro has stated its intention to be a leader in the newer field of generative AI.

Another recent change is the industry’s focus on “green computing” and sustainability. Here, too, Supermicro has had a vision. The company’s Green IT initiative helps customers lowers data-center TCO, take advantage of recyclable materials, and do more work with lower power requirements.

Another change is just how big Supermicro has grown. Revenue for its most recent fiscal year totaled $7.12 billion, a year-on-year increase of 37%. Looking ahead, Supermicro has told investors it expects an even steeper 47% revenue growth in the current fiscal year, for total revenue of $9.5 billion to $10.5 billion. 

All that growth has also led Supermicro to expand its manufacturing facilities. The company now runs factories in Silicon Valley, Taiwan and the Netherlands, and it has a new facility coming online in Malaysia. All that capacity, the company says, means Supermicro can now deliver more than 4,000 racks a month.

Top voices

Industry leaders are joining the celebration.

“Supermicro has been and continues to be my dream work,” CEO Liang wrote in an open letter commemorating the company’s 30th anniversary.

Looking ahead, Liang writes that the company’s latest initiative, dubbed “Supermicro 4.0,” will focus on AI, energy saving, and time to market.

AMD CEO Lisa Su adds, “AMD and Supermicro have a long-standing history of delivering leadership computing solutions. I am extremely proud of the expansive portfolio of data center, edge and AI solutions we have built together, our leadership high-performance computing solutions and our shared commitment to sustainability.”

Happy 30th anniversary, Supermicro!

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Research Roundup: Edge, channel sales, insider risk, AI security, wireless LANs

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Research Roundup: Edge, channel sales, insider risk, AI security, wireless LANs

Catch up on the latest IT market research, surveys and forecasts. 

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Edge computing is strategic. The IT channel is huge. Insider cyber risks deserve more attention. AI can be used to oversee AI. And enterprises are buying more wireless LANs.

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

All hail the edge

More than 8 in 10 C-level executives (83%) believe that to remain competitive in the future, their organizations will need to implement edge computing.

Nearly as many (81%) believe that if they fail to act quickly on edge computing, they could be locked out from enjoying the technology’s full benefits.

Those figures come from a new study by Accenture. The report is based on a poll, conducted by the consulting firm late last year, of 2,100 C-suite execs—including 250 CEOs—across 18 industries and 16 countries.

There’s plenty of room for progress on the edge, the Accenture poll finds. Just two-thirds (65%) of companies use edge today. And among these adopters, only half have integrated edge into their digital core.

Edge systems can be enhanced with the cloud. Indeed, Accenture finds that nearly 8 in 10 respondents (79%) say they’ll fully integrate edge with cloud in the next three years.

Channel rules

How important is the IT channel? Very, according to market watcher Canalys.

Canalys expects that this year, partner-delivered IT technologies and services worldwide will total more than $3.4 trillion, or about 70% of the global addressable IT market.

And the market is rising, despite ongoing economic issues. Canalys predicts the worldwide IT market will rise 3.5% this year, for a full-year total of $4.7 trillion.

Some of the biggest growth opportunities this year coming in cybersecurity (with sales forecast to rise 11%), network infrastructure (14%) and public cloud (7.5%), according to Canalys.

There are also big implications for the IT hardware, software and services suppliers that rely on the channel.

“Given the importance of the channel,” says Canalys chief analyst Matthew Ball, “the success of vendors will increasingly rely on their resell, co-sell, co-marketing, co-retention, co-development and co-innovation strategies.”

Insider risk rising

Here’s a new reason to worry: The average annual cost of an insider cyber risk has risen 40% over the last 4 years, reaching $16.2 million. And the average amount of time it takes to contain an insider incident is now a about 3 months (86 days).

That’s according to a new study conducted by the Ponemon Institute on behalf of Dtex Systems, a supplier of risk-management software. Their new joint report is based on a recent survey of 1,075 security and line-of-business professionals at nearly 310 organizations worldwide.

Despite this risk, the survey finds that most organizations are dedicating only about 8% of their overall cybersec budget—the equivalent of $200 per employee—to insider threats.

What’s more, about 90% of the insider-risk budget gets spent after an insider incident has occurred, the survey found. These after-incident costs include containment, remediation, investigation, incident response and escalation.

AI vs. AI?

AI-powered risks may be so stealthy, only another AI system can fight them off.

That’s the sentiment revealed by a new Gartner survey. The research firm finds that about 1 in 3 organizations (34%) now use AI application security tools to mitigate the risks of generative AI. Over half (56%) are exploring such approaches for the future.

These numbers come from Gartner’s most recent Peer Community survey, conducted in April. Gartner collected responses from 150 IT and cybersecurity leaders at organizations that use either GenAI or foundational models.

When asked which risks of GenAI worry them the most, nearly 6 in 10 respondents (57%) said leaked secrets in AI-generated code. About the same number (58%) said they’re concerned about AI generating incorrect or biased outputs.

“Organizations that don’t manage AI risk will witness their models not performing as intended,” says Gartner analyst Avivah Litan. “In the worst case [AI] can cause human or property damage.”

Enterprise wireless LAN heats up

Looking for a new growth market? Consider the enterprise segment of wireless local area networking. In this year’s second quarter, sales in this sector grew 43%, reaching a total of $3 billion, according to market intelligence firm IDC.

The growth rate was even higher in both the United States and Canada. In both countries, Q2 sales of wireless LANs to enterprises rose nearly 80% year-on-year, IDC says.

By contrast, the consumer end of the wireless LAN market declined by 14% year-on-year in Q2, according to IDC.

Driving the enterprise sales are a couple of factors, including an easing of both components shortages and supply-chain disruptions, says IDC researcher Brandon Butler. Another growth factor is the rapid adoption by enterprises of the new Wi-Fi 6 and 6E standards.

 

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Tech Explainer: What is the intelligent edge? Part 2

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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.

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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.

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