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Data-center service providers: ready for transformation?

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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. 

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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.

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At MWC, Supermicro intros edge server, AMD demos tech advances

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At MWC, Supermicro intros edge server, AMD demos tech advances

Learn what Supermicro and AMD showed at the big mobile world conference in Barcelona. 

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This year’s MWC Barcelona, held Feb. 27 - 29, was a really big show. Over 101,000 people attended from 205 countries and territories. More than 2,700 organizations either exhibited, partnered or sponsored. And over 1,100 subject-matter experts made presentations.

Among those many exhibitors were Supermicro and AMD.

Supermicro showed off the company’s new AS -1115SV, a cost-optimized, single-AMD-processor server for the edge data center.

And AMD offered demos on AI engines, cryptography for quantum computing and more.

Supermicro AS -1115SV

Okay, Supermicro’s full SKU for this system is A+ Server AS -1115SV-WTNRT. That’s a mouthful, but the essence is simple: It’s a 1U short-depth server, powered by a single AMD processor, and designed for the edge data center.

The single CPU in question is an AMD EPYC 8004 Series processor with up to 64 cores. Memory maxes out at 576 GB of DDR5, and you also get 3 PCIe 5.0 x16 slots and up to 10 hot-swappable 2.5-inch drive bays.

The server’s intended applications include virtualization, firewall, edge computing, cloud services, and database/storage. Supermicro says the server’s high efficiency and low power envelope make it ideal for both telco and edge applications.

AMD’s MWC demos

AMD gave a slew of demos AMD from its MWC booth. Here are three:

  • 5G advanced & AI integrated on the same device: To meet today’s requirements, both 5G advanced and 6G wireless communication systems require that intensive signal processing and novel AI algorithms can be implemented on the same device and AI engine. AMD demo’d its AI Engines, power-efficient, general-purpose processors that can be programmed to address both signal-processing and AI requirements in future wireless systems.
  • High-performance quantum safe cryptography​: Quantum computing threatens the security of existing asymmetric or public-key cryptographic algorithms. This demo showed some powerful alternatives on AMD devices: Kyber, Dilithum and PQShield.
  • GreenRAN 5G on EPYC 8004 Series processors: GreenRAN is an open RAN (radio access network) solution from Parallel Wireless. It’s designed to operate seamlessly across various general-purpose CPUs—including, as this demo showed, the AMD 8004 EPYC family.

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Supermicro Adds AI-Focused Systems to H13 JumpStart Program

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Supermicro Adds AI-Focused Systems to H13 JumpStart Program

Supermicro is now letting you validate, test and benchmark AI workloads on its AMD-based H13 systems right from your browser. 

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Supermicro has added new AI-workload-optimized GPU systems to its popular H13 JumpStart program. This means you and your customers can validate, test and benchmark AI workloads on a Supermicro H13 system right from your PC’s browser.

The JumpStart program offers remote sessions to fully configured Supermicro systems with SSH, VNC, and web IPMI. These systems feature the latest AMD EPYC 9004 Series Processors with up to 128 ‘Zen 4c’ cores per socket, DDR5 memory, PCIe 5.0, and CXL 1.1 peripherals support.

In addition to previously available models, Supermicro has added the H13 4U GPU System with dual AMD EPYC 9334 processors and Nvidia L40S AI-focused universal GPUs. This H13 configuration is designed for heavy AI workloads, including applications that leverage machine learning (ML) and deep learning (DL).

3 simple steps

The engineers at Supermicro know the value of your customer’s time. So, they made it easy to initiate a session and get down to business. The process is as simple as 1, 2, 3:

  • Select a system: Go to the main H13 JumpStart page, then scroll down and click one of the red “Get Access” buttons to browse available systems. Then click “Select Access” to pick a date and time slot. On the next page, select the configuration and press “Schedule” and then “Confirm.”
  • Sign In: log in with a Supermicro SSO account to access the JumpStart program. If you or your customers don’t already have an account, creating a new account is both free and easy.
  • Initiate secure access: When the scheduled time arrives, begin the session by visiting the JumpStart page. Each server will include documentation and instructions to help you get started quickly.

So very secure

Security is built into the program. For instance, the server is not on a public IP address. Nor is it directly addressable to the Internet. Supermicro sets up the jump server as a proxy, and this provides access to only the server you or your customer are authorized to test.

And there’s more. After your JumpStart session ends, the server is manually secure-erased, the BIOS and firmware are re-flashed, and the OS is reinstalled with new credentials. That way, you can be sure any data you’ve sent to the H13 system will disappear once the session ends.

Supermicro is serious about its security policies. However, the company still warns users to keep sensitive data to themselves. The JumpStart program is meant for benchmarking, testing and validation only. In their words, “processing sensitive data on the demo server is expressly prohibited.”

Keep up with the times

Supermicro’s expertly designed H13 systems are at the core of the JumpStart program, with new models added regularly to address typical workloads.

In addition to the latest GPU systems, the program also features hardware focused on evolving data center roles. This includes the Supermicro H13 CloudDC system, an all-in-one rackmount platform for cloud data centers. Supermicro CloudDC systems include single AMD EPYC 9004 series processors and up to 10 hot-swap NVMe/SATA/SAS drives.

You can also initiate JumpStart sessions on Supermicro Hyper Servers. These multi-use machines are optimized for tasks including cloud, 5G core, edge, telecom and hyperconverged storage.

Supermicro Hyper Servers included in the company’s JumpStart program offer single or dual processor configurations featuring AMD EPYC 9004 processors and up to 8TB of DDR5 memory in a 1U or 2U form factor.

Helping your customers test and validate a Supermicro H13 system for AI is now easy. Just get a JumpStart.

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For Ansys engineering simulations, check out Supermicro's AMD-powered SuperBlade

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For Ansys engineering simulations, check out Supermicro's AMD-powered SuperBlade

The Supermicro SuperBlade powered by AMD EPYC processors provides exceptional memory bandwidth, floating-point performance, scalability and density for technical computing workloads. They're valuable to your customers who use Ansys software to create complex simulations that help solve real-world problems. 
 
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If you have engineering customers, take note. Supermicro and AMD have partnered with Ansys Inc. to create an advanced HPC platform for engineering simulation software.

The Supermicro SuperBlade, powered by AMD EPYC processors, provides exceptional memory bandwidth, floating-point performance, scalability and density for technical computing workloads.

This makes the Supermicro system especially valuable to your customers who use Ansys software to create complex simulations that help solve real-world problems.

The power of simulation

As you may know, engineers design the objects that make up our daily lives—everything from iPhones to airplane wings. Simulation software from Ansys enables them to do it faster, more efficiently and less expensively, resulting in highly optimized products.

Product development requires careful consideration of physics and material properties. Improperly simulating the impact of natural physics on a theoretical structure could have dramatic, even life-threatening consequences.

How bad could it get? Picture the wheels coming off a new car on the highway.

That’s why it’s so important for engineers to have access to the best simulation software operating on the best-designed hardware.

And that’s what makes the partnership of Supermicro, AMD and Ansys so valuable.The result of this partnership is a software/hardware platform that can run complex structural simulations without sacrificing either quality or efficiency.

Wanted: right tool for the job

Product simulations can lead to vital developments, whether artificial heart valves that save lives or green architectures that battle climate change.

Yet complex simulation software is extremely resource-intensive. Running a simulation on under-equipped hardware can be a frustrating and costly exercise in futility.

Even with modern, well-equipped systems, users of simulation software can encounter a myriad of roadblocks. These are often due to inadequate processor frequency and core density, insufficient memory capacity and bandwidth, and poorly optimized I/O.

Best-of-breed simulation software like Ansys Fluent, Mechanical, CFX, and LS-DYNA demands a cutting-edge turnkey hardware solution that can keep up, no matter what.

That’s one super blade

In the case of Supermicro’s SuperBlade, that solution leverages some of the world’s most advanced computing tech to ensure stability and efficiency.

The SuperBlade’s 8U enclosure can be equipped with up to 20 compute blades. Each blade may contain up to 2TB of DDR4 memory, two hot-swap drives, AMD Instinct accelerators and 3rd gen AMD EPYC 7003 processors.

The AMD processors include up to 64 cores and 768 MB of L3 cache. All told, the SuperBlade enclosure can contain a total of 1,280 CPU cores.

Optimized I/O comes in the form of 1G, 10G, 25G or 100G Ethernet or 200G InfiniBand. And each node can house up to 2 additional low-profile PCIe 4.0 x16 expansion cards.

The modular design of SuperBlade enables Ansys users to run simultaneous jobs on multiple nodes in parallel. The system is so flexible, users can assign any number of jobs to any set of nodes.

As an added benefit, different blades can be used in the same chassis. This allows workloads to be assigned to wherever the maximum performance can be achieved.

For instance, a user could launch a four-node parallel job on four nodes and simultaneously two 8-node parallel jobs on the remaining 16 nodes. Alternatively, an engineer could run five 4-node parallel jobs on 20 nodes or ten 2-node parallel jobs on 20 nodes.

The bottom line

Modern business leaders must act as both engineers and accountants. With a foot planted firmly on either side, they balance the limitless possibilities of design with the limited cash flow at their discretion.

The Supermicro SuperBlade helps make that job a little easier. Supermicro, AMD and Ansys have devised a way to give your engineering customers the tools they need, yet still optimize data-center footprint, power requirements and cooling systems.

The result is a lower total cost of ownership (TCO), and with absolutely no compromise in quality.

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Get a better Google on-prem cloud with Supermicro SuperBlade

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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.

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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.

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Looking to accelerate AI? Start with the right mix of storage

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Looking to accelerate AI? Start with the right mix of storage

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That’s right, storage might be the solution to speeding up your AI systems.

Why? Because today’s AI and HPC workloads demand a delicate storage balance. On the one hand, they need flash storage for high performance. On the other, they also need object storage for data that, though large, is used less frequently.

Supermicro and AMD are here to help with a reference architecture that’s been tested and validated at customer sites.

Called the Scale-Out Storage Reference Architecture, it offers a way to deliver massive amounts of data at high bandwidth and low latency to data-intensive applications. The architecture also defines how to manage data life-cycle concerns, including migration and cold-storage retention.

At a high level, Supermicro’s reference architecture address three important demands for AI and HPC storage:

  • Data lake: It needs to be large enough for all current and historical data.
  • All-flash storage tier: Caches input for application servers and deliver high bandwidth to meet demand.
  • Specialized application servers: Offering support that ranges from AMD EPYC high-core-count CPUs to GPU-dense systems.

Tiers for less tears

At this point, you might be wondering how one storage system can provide both high performance and vast data stores. The answer: Supermicro’s solution offers a storage architecture in 3 tiers:

  • All flash: Stores active data that needs the highest speeds of storage and access. This typically accounts for just 10% to 20% of an organization’s data. For the highest bandwidth networking, clusters are connected with either 400 GbE or 400 Gbps InfiniBand. This tier is supported by the Weka data platform, a distributed parallel file system that connects to the object tier.
  • Object: Long-term, capacity-optimized storage. Essentially, it acts as a cache for the application tier. These systems offer high-density drives with relatively low bandwidth and networking typically in the 100 GbE range. This tier managed by Quantum ActiveScale Object Storage Software, a scalable, always-on, long-term data repository.
  • Application: This is where your data-intensive workloads, such as machine-learning training, reside. This tier uses 400 Gbps InfiniBand networking to access data in the all-flash tier.

What’s more, the entire architecture is modular, meaning you can adjust the capacity of the tiers depending on customer needs. This can also be adjusted to deploy different kinds of products — for example, open-source vs. commercial software.

To give you an idea of what’s possible, here’s a real-life example. One of the world’s largest semiconductor makers has deployed the Supermicro reference architecture. Its goal: use AI to automate the detection of chip-wafer defects. Using the reference architecture, the company was able to fill a software installation with 25 PB of data in just 3 weeks, according to Supermicro.

Storage galore

Supermicro offers more than just the reference architecture. The company also offers storage servers powered by the latest AMD EPYC processors. These servers can deliver flash storage that is ideal for active data. And they can handle high-capacity storage on physical discs.

That includes the Supermicro Storage A+ Server ASG-2115S-NE332R. It’s a 2U rackmount device powered by an AMD EPYC 9004 series processor with 3D V-Cache technology.

This storage server has 32 bays for E3.S hot-swap NVM3 drives. (E3.S is a form factor designed to optimize the flash density of SSD drives.) The server’s total storage capacity comes to an impressive 480 TB. It also offers native PCIe 5 performance.

Of course, every organization has unique workloads and requirements. Supermicro can help you here, too. Its engineering team stand ready to help you size, design and implement a storage system optimized to meet your customers’ performance and capacity demands.

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AMD Instinct MI300 Series: Take a deeper dive in this advanced technology

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AMD Instinct MI300 Series: Take a deeper dive in this advanced technology

Take a look at the innovative technology behind the new AMD Instinct MI300 Series accelerators.

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Earlier this month, AMD took the wraps off its highly anticipated AMD Instinct MI300 Series of generative AI accelerators and data-center acceleration processing units (APUs). During the announcement event, AMD president Victor Peng said the new components had been “designed with our most advanced technologies.”

Advanced technologies indeed. With the AMD Instinct MI300 Series, AMD is writing a brand-new chapter in the story of AI-adjacent technology.

Early AI developments relied on the equivalent of a hastily thrown-together stock car constructed of whichever spare parts happened to be available at the time. But those days are over.

Now the future of computing has its very own Formula 1 race car. It’s extraordinarily powerful and fine-tuned to nanometer tolerances.

A new paradigm

At the heart of this new accelerator series is AMD’s CDNA 3 architecture. This third generation employs advanced packaging that tightly couples CPUs and GPUs to bring high-performance processing to AI workloads.

AMD’s new architecture also uses 3D packaging technologies that integrate up to 8 vertically stacked accelerator complex dies (XCDs) and four I/O dies (IODs) that contain system infrastructure. The various systems are linked via AMD Infinity Fabric technology and are connected to 8 stacks of high-bandwidth memory (HBM).

High-bandwidth memory can provide far more bandwidth and yet much lower power consumption compared with the GDDR memory found in standard GPUs. Like many of AMD’s notable innovations, its HBM employs a 3D design.

In this case, the memory modules are stacked vertically to shorten the distance the data needs to travel. This also allows for smaller form factors.

AMD has implemented the HMB using a unified memory architecture. This is an increasingly popular design in which a single array of main-memory modules supports both the CPU and GPU simultaneously, speeding tasks and applications.

Unified memory is more efficient than traditional memory architecture. It offers the advantage of faster speeds along with lower power consumption and ambient temperatures. Also, data need not be copied from one set of memory to another.

Greater than the sum of its parts

What really makes AMD CDNA 3 unique is its chiplet-based architecture. The design employs a single logical processor that contains a dozen chiplets.

Each chiplet, in turn, is fabricated for either compute or memory. To communicate, all the chiplets are connected via the AMD Infinity Fabric network-on-chip.

The primary 5nm XCDs contain the computational elements of the processor along with the lowest levels of the cache hierarchy. Each XCD includes a shared set of global resources, including the scheduler, hardware queues and 4 asynchronous compute engines (ACE).

The 6nm IODs are dedicated to the memory hierarchy. These chiplets carry a newly redesigned AMD Infinity Cache and an HBM3 interface to the on-package memory. The AMD Infinity Cache boosts generational performance and efficiency by increasing cache bandwidth and reducing the number of off-chip memory accesses.

Scaling ever upward

System architects are constantly in the process of designing and building the world’s largest exascale-class supercomputers and AI systems. As such, they are forever reaching for more powerful processors capable of astonishing feats.

The AMD CDNA 3 architecture is an obvious step in the right direction. The new platform takes communication and scaling to the next level.

In particular, the advent of AMD’s 4th Gen Infinity Architecture Fabric offers architects a new level of connectivity that could help produce a supercomputer far more powerful than anything we have access to today.

It’s reasonable to expect that AMD will continue to iterate its new line of accelerators as time passes. AI research is moving at a breakneck pace, and enterprises are hungry for more processing power to fuel their R&D.

What will researchers think of next? We won’t have to wait long to find out.

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Supermicro debuts 3 GPU servers with AMD Instinct MI300 Series APUs

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Supermicro debuts 3 GPU servers with AMD Instinct MI300 Series APUs

The same day that AMD introduced its new AMD Instinct MI300 series accelerators, Supermicro debuted three GPU rackmount servers that use the new AMD accelerated processing units (APUs). One of the three new systems also offers energy-efficient liquid cooling.

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Supermicro didn’t waste any time.

The same day that AMD introduced its new AMD Instinct MI300 series accelerators, Supermicro debuted three GPU rackmount servers that use the new AMD accelerated processing units (APUs). One of the three new systems also offers energy-efficient liquid cooling.

Here’s a quick look, plus links for more technical details:

Supermicro 8-GPU server with AMD Instinct MI300X: AS -8125GS-TNMR2

This big 8U rackmount system is powered by a pair of AMD EPYC 9004 Series CPUs and 8 AMD Instinct MI300X accelerator GPUs. It’s designed for training and inference on massive AI models with a total of 1.5TB of HBM3 memory per server node.

The system also supports 8 high-speed 400G networking cards, which provide direct connectivity for each GPU; 128 PCIe 5.0 lanes; and up to 16 hot-swap NVMe drives.

It’s an air-cooled system with 5 fans up front and 5 more in the rear.

Quad-APU systems with AMD Instinct MI300A accelerators: AS -2145GH-TNMR and AS -4145GH-TNMR

These two rackmount systems are aimed at converged HPC-AI and scientific computing workloads.

They’re available in the user’s choice of liquid or air cooling. The liquid-cooled version comes in a 2U rack format, while the air-cooled version is packaged as a 4U.

Either way, these servers are powered by four AMD Instinct MI300A accelerators, which combine CPUs and GPUs in an APU. That gives each server a total of 96 AMD ‘Zen 4’ cores, 912 compute units, and 512GB of HBM3 memory. Also, PCIe 5.0 expansion slots allow for high-speed networking, including RDMA to APU memory.

Supermicro says the liquid-cooled 2U system provides a 50%+ cost savings on data-center energy. Another difference: The air-cooled 4U server provides more storage and an extra 8 to 16 PCIe acceleration cards.

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

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

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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.

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How AMD’s hardware-based security can keep your customers safer

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How AMD’s hardware-based security can keep your customers safer

AMD’s Infinity Guard hardware-level security suite is built into the company’s EPYC server processors. It guards against internal and external threats via a multilayered approach designed to prevent various types of attacks. 

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Helping your customers protect themselves against cyber attacks has never been more important.

In a recent survey, nearly 8 in 10 companies worldwide (77%) said they had experienced at least 1 cyber incident in the last 2 years. Virtually all said the attacks were serious.

In North America alone, it was even worse. There, 85% of the survey respondents said they’d been attacked in the last 2 years.

Kaspersky, which conducted the survey, estimates that nearly two-thirds of these attacks were due to human error. So the idea that antivirus software and employee training are enough is clearly wrong.

Why a new approach to security is needed

Fortunately, a relatively new and effective approach is available to you and your customers: hardware-based security.

To be sure, software-based solutions and dedicated firewalls are still effective weapons in the war against cybercrime. But as cybercriminals become increasingly sophisticated, IT managers have no choice but to harden security further by employing security features built in at the silicon level.

That’s because attacks can infect devices below the operating system level. When that happens, the malware gains control of a system before its OS has time to boot up and deploy the security software.

This threat is made even worse by today’s remote workforce. That’s because corporate firewalls can protect workers only when they’re connected to their organizations’ networks.

But remote workers often use networks that are insecure. They may visit a multitude of public websites, download apps, receive email attachments, and even let family and friends use their company-issued devices.

All that might be okay if not for the propensity of viruses and other malware to spread across networks like wildfire. A ransomware attack on a company laptop can, if not isolated, quickly spread to an entire network via a remote connection to a corporate data center.

From there, the ransomware can multiply and infect every other device attached to that same network. That’s how disasters happen.

Infinity Guard to the rescue

Put this all together, and you can see why hardware-level security tech like AMD Infinity Guard has become a must-have for modern data-center architecture.

AMD’s Infinity Guard hardware-level security suite is built into the company’s EPYC series server processors. There, it guards against internal and external threats via a multilayered approach designed to prevent various types of attacks. These include BIOS manipulation, in-memory return-oriented programming (ROP), and virtualized malicious hypervisor attacks.

Diving deep into the technology that underpins AMD Infinity Guard is like swimming to the bottom of the Mariana Trench—fascinating, but not for the faint of heart. A better option: consider Infinity Guard’s 4 primary safeguards:

  • AMD Secure Encrypted Virtualization (SEV): Provides encryption for every virtual machine on a server. SEV is bolstered by SEV-Secure Nested Paging (SEV-SNP), which includes memory integrity protection designed to prevent hypervisor-based attacks.
  • AMD Secure Memory Encryption: Guards against cold-boot attacks and other threats to the main memory. It’s a high-performance encryption engine integrated into the memory channel, which also helps accelerate performance.
  • AMD Secure Boot: Protects against bad actors by establishing a “root of trust.” This embedded security checkpoint validates a server’s initial BIOS software to ensure there’s no corruption. Secure Boot also ensures that only authorized firmware authenticated by the AMD Secure Processor can boot up.
  • AMD Shadow Stack: Maintains an ongoing record of return addresses so comparisons can be made to ensure integrity. Shadow Stack helps ward off ROP attacks in which an attacker directs control flow through existing code with malicious results.

‘Data-center security is easy,’ said no one ever

Maintaining a high level of data-center security is a full-time job. IT professionals can spend their entire careers playing digital defense against would-be cyberattackers.

Integrated, hardware-level security like AMD Infinity Guard gives those defenders a powerful tool to prevent ransomware and other attacks. That can help prevent incidents costing companies thousands, or even millions, of dollars.

Shifting your customers to servers with AMD Infinity Guard won’t stop the cyber arms race. But it will give them a hardware-based weapon for protecting themselves.

And Supermicro offers a wide range of servers with AMD EPYC CPUs. These help IT operators to keep their data secure and their systems protected.

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