Today, video makes up over 80% of global Internet traffic¹, and viewers expect broadcast quality with higher resolutions across a growing variety of devices. At the same time, new 5G networks are dramatically increasing the throughput for mobile customers.

All of this means that media providers must find new ways to optimize total cost of ownership while meeting subscriber demands for more sophisticated content. The Intel Flex Series GPU helps by increasing the density of streams that can be supported per server—without compromising quality.

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Built-In AV1 Encoder

AV1 is a royalty-free video coding standard created by the Alliance for Open Media, which includes Google, Amazon, Apple, Intel, Cisco, Meta, Microsoft, Netflix, and Tencent. AV1 provides significantly improved compression efficiency over AVC and HEVC.² This results in bandwidth improvement which can help enable significant Total Cost of Ownership savings.

With the global cloud gaming market expected to reach $3.2B by 2026, growing 43.2% from 2021 through 2026, service providers need to optimize TCO while meeting subscriber demands for superior experiences. The Intel Flex Series GPU increases the density per server without compromising quality. Serve a growing number of subscribers with a smaller data center footprint that reduces equipment and facility costs for both Windows Cloud Gaming and Android Cloud Gaming. High-performance per watt helps drive TCO down further.

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Read the Windows Android Gaming Solution Brief

There are two SKUs available that customers can deploy based on their solution needs. The Intel® Data Center GPU Flex 140 is a low-profile 75W option with two 8 Xe-core GPUs. The 170 is a 150W option featuring a single 32 Xe-core GPU for higher peak performance.

The growth in security and site monitoring cameras, live broadcast streams, and OTT video is driving demand for AI Visual Inference. The Intel Data Center GPU Flex Series is ideal for these workloads, including Smart City, Library indexing and compliance, and AI-guided video enhancement workloads. Intel’s oneAPI toolkit supports the most common AI frameworks—TensorFlow* and PyTorch*—and the optimization of AI algorithms from other frameworks through the OpenVINO™ toolkit.

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The Intel Data Center GPU Flex Series allows you to choose the power level that suits your needs—from simple object detection to complex AI.

Basic AI Models
A low power, 75W adapter with a smaller form factor, the Intel® Data Center GPU Flex 140 provides more video decode/encode engines than the Intel Server GPU. This GPU is ideal for pipelines that involve lighter AI models, such as simple object detection. Due to the higher number of video engines, the Flex Series 140 GPU can support a high number of streams.

Complex AI Models
A high-power, 150W adapter, the Intel® Data Center GPU Flex 170 is optimal for pipelines that include more complex AI models, such as multiple object detection or multiple classification models. With its AI compute power, the Intel® Data Center GPU Flex 170 avoids becoming AI bound. It can support the same number of video streams per adapter as the compute requirements increase.

Virtual Desktop Infrastructure (VDI) is a mature market with an accelerated move toward the adoption of discrete graphics, as modern OSes and applications increasingly rely on GPU and media hardware acceleration. High density knowledge workers will account for the largest growth of the VDI segment², necessitating the need for high performing streaming throughput and end-to-end delivery.

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No Licensing Fees

Intel provides free virtual GPU software license to customers for lowering their total cost of ownership in VDI deployments. Furthermore, this can act as a catalyst to accelerate the GPU adoption rate in VDI deployments where graphics & encode accelerations are desired/preferred but can often be cost prohibitive.

Flexible vGPU Management

The Intel® Data Center GPU Flex Series supports multiple vGPU configuration & scheduling options for VDI solutions to meet different customer workload and QoS requirements—such as Linux† Kernel-based Virtual Machine (KVM) open-source virtualization technology and VMware ESXi**. It also supports both VMware Horizon† and Citrix DaaS† on top. The Flex Series accelerators have strong ecosystem support. The top two industry leading desktop & application virtualization solutions, VMware Horizon and Citrix DaaS, will be supported.

Flexible Performance

The Intel® Data Center GPU Flex 140 accelerator has two GPUs on a single card, supporting heterogeneous vGPU profiles. Having fewer virtual machines per GPU contributes to more predictable quality of service, shorter GPU scheduling queues, and strong performance isolation across machines. Smaller physical cards and fewer virtual machines means you can cover a variety of user needs more economically.

High Density Virtual Desktop

The Intel® Data Center GPU Flex 140 is ideal for VDI deployments targeting knowledge workers persona - office productivity, video, and browser workloads whose graphics and compute performance requirements are low.

High Performance Virtual Desktop

The Intel® Data Center GPU Flex 170 is best suited for VDI deployment targeting power users persona – 3D and media content creation workloads whose graphics and compute performance requirements are high.