Intel Rolls Out Data Center GPU Flex Series For The Intelligent Visual Cloud
Intel has introduced the new Intel® Data Center GPU Flex Series (formerly code-named Arctic Sound-M). This will help free customers from the constraints of siloed and proprietary environments and reduces the need for data centers to use separate, discrete solutions.
The newly launched Intel® Data Center GPU Flex Series will help lower and optimises the total cost of ownership for diverse cloud workloads like media delivery, cloud gaming, AI, metaverse and other emerging visual cloud use cases.
The Series is powered by Intel’s Xe-HPG architecture and backed by an expansive ecosystem of hardware vendors and software developers, these GPUs provide flexible scaling of AI inference workloads from media analytics to smart cities to medical imaging between CPUs and GPUs without locking developers into proprietary software.
The Flex Series GPUs address quality, density and latency requirements. With the industry's first hardware-based AV1 encoder in a data center GPU, the Flex Series GPU provides 5x media transcode throughput performance and 2x decode throughput performance at half the power of competitive solutions. It delivers more than 30 per cent bandwidth improvement for significant total cost of ownership (TCO) savings, in addition to broad support for popular media tools, APIs, frameworks and the latest codecs.
“We are in the midst of a pixel explosion driven by more consumers, more applications and higher resolutions. Today's data center infrastructure is under intense pressure to compute, encode, decode, move, store and display visual information. Intel Flex Series GPU is a breakthrough design that uniquely solves today’s computing demand while providing flexibility and scalability for the immersive experiences of tomorrow,” said Jeff McVeigh, Intel vice president and general manager of the Super Compute Group.
Leveraging Intel® Deep Link Hyper Encode feature, the Intel® Data Center GPU Flex Series 140 with two devices on a single card can meet the industry’s one-second delay requirement while providing 8K60 real-time transcode7. This capability is available for AV1 and HEVC HDR formats.
Media processing, media delivery, AI visual inference, cloud gaming and desktop virtualization are proliferating in data centers. As a result, the data center GPU silicon market segment for visual cloud is projected to grow to reach USD 15 billion by 20264. That rapid increase comes to an industry largely beset by dependence on proprietary, licensed coding models, like CUDA for GPU programming.
The Flex Series GPU solution stack overcomes these limitations while delivering significant advantages over alternative solutions, improving flexibility, scalability and power consumption. It helps deliver a lower TCO for solution providers by supporting more subscribers with fewer servers.
Gaming:
the Flex Series GPU is built for high gameplay quality, delivering a gaming experience across different devices. It is validated on nearly 90 of the most popular Google Play Android game titles.
A single Flex Series 170 GPU can achieve up to 68 streams of 720p30 while a single Flex Series 140 GPU can achieve up to 46 streams of 720p30 (measured on select game titles).
When scaled with six Flex Series 140 GPU cards, it can achieve up to 216 streams of 720p30.
