top of page

4th Gen Intel® Xeon® Scalable Processors

4th Gen Intel® Xeon® Scalable processors feature a new architecture with higher per-core performance, designed to accelerate performance across the fastest-growing workloads in AI, data analytics, networking, storage, and high-performance computing.
Intel 4th gen.jpg
Blue1.jpg

Intel® Advanced Matrix Extensions (Intel® AMX)
accelerates deep learning (DL) inference and training workloads, such as natural language processing (NLP),recommendation systems, and image recognition.

​Intel® Advanced Vector Extensions (Intel® AVX) for vRAN
increases virtual radio access network (vRAN) density up to 2x,compared to the previous generation, with the same power envelope.

​Intel® Data Streaming Accelerator (Intel® DSA)
high performance for storage, networking, and data-intensive workloads by improving streaming data movement and transformation operations.

Intel® Crypto Acceleration

reduces the penalty of

implementing pervasive data encryption and increases the performance of encryption-sensitive workloads, such as for Secure Sockets Layer (SSL) web servers, 5G infrastructure, and

VPNs/firewalls.

​Intel® Advanced Vector Extensions 512 (Intel® AVX-512)
supports up to two fused-multiply add (FMA) units and includes optimizations to accelerate performance for demanding computational tasks.

​Intel® In-Memory Analytics Accelerator (Intel® IAA)
improves analytics performance while loading tasks from CPU cores to accelerate database query throughput and other workloads.

​Intel® QuickAssist Technology (Intel® QAT)

accelerates encryption, decryption, and data compression, loading these tasks from the processor core to help reduce system resource consumption.

Intel® Dynamic Load Balancer (Intel® DLB)

provides efficient hardware-based load balancing by dynamically distributing network data across multiple CPU cores as the system load varies  

Intel HPC Engines 

Intel Advanced Vector Extensions 512 (Intel AVX-512)

With ultrawide 512-bit vector operations capabilities, Intel AVX-512 is especially suited to handle the most demanding computational tasks commonly encountered in HPC applications. It’s used by organizations across educational, financial, enterprise, engineering and medical industries. By enabling users to run complex workloads on existing hardware, Intel AVX-512 accelerates performance for tasks like financial analytics, 3D modeling and scientific simulations.

 

Intel Advanced Matrix Extensions (Intel AMX)

In addition to accelerating AI workloads, Intel AMX is also designed to deliver performance gains across popular HPC workloads. This new built-in accelerator transforms large matrix math calculations into a single operation and uses a two-dimensional register file to store large chunks of data.

 

Intel Data Streaming Accelerator (Intel DSA)

Intel DSA is a new feature designed to optimize and speed up streaming data movement and transformation operations common in networking, data-processing-intensive applications and high-performance storage. Intel DSA accelerates HPC workloads by offloading the most common data movement tasks that cause CPU overhead in data center-scale deployments

Intel AI Engines 

​Intel Advanced Matrix Extensions (Intel AMX)

Intel AMX is Intel’s next-generation advancement for deep-learning training and inference on 4th Gen Intel Xeon Scalable processors. Ideal for workloads like natural language processing, recommendation systems and image recognition, this new feature extends the built-in AI acceleration capabilities of previous Intel Xeon Scalable processors while also offering significant performance gains.

 

Intel Advanced Vector Extensions 512 (Intel AVX-512)

A continuing feature of Intel Xeon Scalable processors, Intel AVX-512 is a general purpose performance-enhancing accelerator with a wide range of uses. When it comes to AI, Intel AVX-512 can accelerate machine learning workloads for training and inferencing. 4th Gen Intel Xeon Scalable processors with Intel AVX-512 are also designed to speed up data preprocessing.

bottom of page