HPC and Intelligence Artificial - Mar 22, 2022

Support workloads with Intel Xeon Scalable

In computer language, the workload is the amount of processing that the computer or servers must carry out at a given time to support employee use.

Today, these are becoming more diversified and require a greater number of resources, particularly when it comes to high performance computing (HPC) and artificial intelligence (AI). What’s more, the switch to hybrid working is adding to the complexity. A flexible and optimised IT infrastructure for the new world of work is, therefore, crucial.

3rd Generation Intel® Xeon® Scalable Processors offer companies flexible performance within a balanced architecture.


  1. 1. Why should workload performance be made flexible?

  • Using servers that are unable to rebalance performance and capacity correctly is like using dedicated machines that are great for one type of workload, but inadequate for others.
  • It is possible to configure a tailored infrastructure to achieve the performance necessary for each kind of workload, but implementing and managing several infrastructures demands a lot investment and time.
  • It is also incredibly inefficient to scale an infrastructure silo according to needs—whether that be ad-hoc or as the result of fundamental developments—as it tends to mean that one silo becomes over-utilised while the others aren’t.

It’s therefore clear that using the same high-performance platform for all workloads reduces the complexity that comes from having multiple data centres, which in turn saves energy and operating costs, giving you the flexibility and scalability you need to keep pace with ever-changing requirements.


  1. 2. Why you should choose Intel Xeon to boost the performance of HPC and AI systems?

The 3rd Generation Intel Xeon processors contribute significantly to corporate performance in three areas—data processing, memory and storage capacity.

  • Data processing – Intel Xeon offers up to 40 cores, each of which delivers unbelievable performance for the most common cloud databases, high-performance computing, virtualisation and AI workloads. No other data centre processors comes with integrated AI acceleration—a fact that hasn’t gone unnoticed by the developers of the best AI software frameworks, who have optimised them for exactly this purpose.
  • Memory – The new Intel® Optane™ 200 Series Persistent Memory builds significantly on the available memory per processor by up to 12 TB in a two-socket server.
  • Storage capacity – Intel Xeon servers offer industry-leading storage capacities including support for the new Intel® Optane™ P5800X SSD. But that’s not all. They also support Intel® D5-P5316 SSDs that allow unbelievable storage capacity of one petabyte per 1U server. Together, offer an unprecedented combination of performance and density that are essential for today’s data-intensive workloads.

3rd Generation Intel® Xeon® Scalable Processors are:

  • Optimised for cloud, enterprise, HPC, network, security and IoT workloads
  • The only data centre CPU with built-in AI acceleration, end-to-end data science tools, and an ecosystem of smart solutions
  • Engineered for the demands of cloud workloads.
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1 Source: Based on testing by Intel as of April 27, 2020 (Baseline) and March 23, 2021 (New). Baseline configuration: 1-node, 1 x Intel Xeon Platinum 8280L processor (28 cores at 2.7 GHz) on Neon City with a single Intel Optane PMem module configuration (6 x 32 GB DRAM; 1 x {128 GB, 256 GB, 512 GB} Intel Optane PMem module), ucode rev: 04002F00 running Fedora 29 kernel 5.1.18-200.fc29.x86_64 and Intel Memory Latency Checker (Intel MLC) version 3.8 with App Direct Mode. New configuration: 1-node, 1 x Intel Xeon pre-production ICX-XCC processor (38 cores at 2.0 GHz) on Wilson City with a single Intel Optane PMem module configuration (8 x 32 GB DRAM; 1 x {128 GB, 256 GB, 512 GB} Intel Optane PMem module), ucode rev: 8d000270 running RHEL 8.1 kernel 4.18.0-147.el8.x86_64 and Intel MLC version 3.9 with App Direct Mode.

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This post was published on Mar 22, 2022.