Intel today launched its Arctic Sound M line of data-center GPUs. These are not positioned as HPC processors like the "Ponte Vecchio," but GPUs targeting cloud-compute providers, with their main applications being in the realm of visual processing, media, and AI inferencing. Their most interesting aspect has to be the silicon, which are the same 6 nm "ACM-G11" and "ACM-G10" chips powering the Arc "Alchemist" client graphics cards, based on the Xe-HPG architecture. Even more interesting is their typical board power values, ranging between 75 W to 150 W. The cards are built in the PCI-Express add-on card form-factor, with their cooling solutions optimized for rack airflow.

The marketing name for these cards is simply Intel Data Center GPU Flex, with two models being offered: The Data Center GPU Flex-140, and Flex-170. The Flex-170 is a full-sized add-on card based on the larger ACM-G10 silicon, which has 32 Xe Cores (4,096 unified shaders), whereas the Flex-140, interestingly, is a low-profile dual-GPU card with two smaller ACM-G11 chips that each has 8 Xe Cores (1,024 unified shaders). The two chips appear to be sharing a PCIe bridge chip in the renders. Both models come with four Xe Media Engines that pack AV1 encode hardware-acceleration, XMX AI acceleration, real-time ray tracing, and GDDR6 memory.

Super Micro Computer, Inc., a global leader in enterprise computing, storage, networking, and green computing technology, is announcing future Total IT Solutions for availability with Android Cloud Gaming and Media Processing & Delivery. These new solutions will incorporate the Intel Data Center GPU, codenamed Arctic Sound-M, and will be supported on several Supermicro servers. Supermicro solutions that will contain the Intel Data Center GPUs codenamed Arctic Sound-M, include the 4U 10x GPU server for transcoding and media delivery, the Supermicro BigTwin system with up to eight Intel Data Center GPUs, codenamed Arctic Sound-M in 2U for media processing applications, the Supermicro CloudDC server for edge AI inferencing, and the Supermicro 2U 2-Node server with three Intel Data Center GPUs, codenamed Arctic Sound-M per node, optimized for cloud gaming. Additional systems will be made available later this year.

"Supermicro will extend our media processing solutions by incorporating the Intel Data Center GPU," said Charles Liang, President, and CEO, Supermicro. "The new solutions will increase video stream rates and enable lower latency Android cloud gaming. As a result, Android cloud gaming performance and interactivity will increase dramatically with the Supermicro BigTwin systems, while media delivery and transcoding will show dramatic improvements with the new Intel Data Center GPUs. The solutions will expand our market-leading accelerated computing offerings, including everything from Media Processing & Delivery to Collaboration, and HPC."

Super Micro Computer, Inc. (Nasdaq: SMCI), a global leader in enterprise computing, storage, networking, and green computing technology, supports two new Intel-based accelerators for demanding cloud gaming, media delivery, AI and ML workloads, enabling customers to deploy the latest acceleration technology from Intel and Intel Habana. "Supermicro continues to work closely with Intel and Habana Labs to deliver a range of server solutions supporting Arctic Sound-M and Gaudi 2 that address the demanding needs of organizations that require highly efficient media delivery and AI training," said Charles Liang, president and CEO. "We continue to collaborate with leading technology suppliers to deliver application-optimized total system solutions for complex workloads while also increasing system performance."

Supermicro can quickly bring to market new technologies by using a Building Block Solutions approach to designing new systems. This methodology allows new GPUs and acceleration technology to be easily placed into existing designs or, when necessary, quickly adapt an existing design when needed for higher-performing components. "Supermicro helps deliver advanced AI and media processing with systems that leverage our latest Gaudi 2 and Arctic Sound-M accelerators," stated Sandra Rivera, executive vice president and general manager of the Datacenter and AI Group at Intel. "Supermicro's Gaudi AI Training Server will accelerate deep learning training in some of the fastest growing workloads in the datacenter."

At Intel's 2022 investor meeting, the company has presented a technology roadmap update to give its clients an insight into what is to come. Today, team blue announced one of the first discrete data-centric graphics cards in the lineup, codenamed Arctic Sound-M GPU. Based on the DG2 Xe-HPG variation of Intel Xe GPUs, Arctic Sound-M is the company's first design to enter the data center space. The DG2 GPU features 512 Execution Units (EUs), which get passive cooling from the single-slot design of Arctic Sound's heatsink, envisioned for data center enclosures with external airflow.

One of the most significant selling points that Intel advertises is support for hardware-based AV1 encoding standard. This feature allows the card to achieve a 30% greater bandwidth, and it is the main differentiator between consumer-oriented Arc Alchemist GPUs and itself. The card is powered by PCIe power and an 8-pin EPS power connector. Arctic Sound-M is already sampling to select customers and it will become available in the middle of 2022.Below is Intel's teaser video.