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Intel® Data Center GPU Flex Series

Unmatched flexibility meets powerful media processing and virtualization capabilities with the Intel® Data Center GPU Flex Series—the industry’s most open GPU solution.

Intel® Data Center GPU Flex Series

Push the Limits of Visual Innovation with an Open GPU Solution

Leveraging Xe-HPG microarchitecture, the Intel® Data Center GPU Flex Series utilizes the same hardware to support a range of virtual desktop infrastructure (VDI), media processing and delivery, and AI inference solutions.

Download product brief

     

Performance Crafted for Pixel Perfection

Up to four Xe media engines help drive up to 256 TOPS for AI, delivering up to 55 percent better visual inference performance compared to NVIDIA A10.1

     

Economize without Compromise

No royalty or license fees, combined with built-in reliability, availability, and serviceability (RAS) features, result in up to 50 percent lower total cost of ownership (TCO) compared to the NVIDIA A16.2

     

Where Balance and Flexibility Collide

Built-in AV1 encode in a GPU reduces bandwidth requirements and enables high stream density for up to 4x more 4K media transcode streams vs. NVIDIA L4.2

     

     

Effortless Efficiency, Uncomplicated Control

Low power usage with open source oneAPI optimizations and code portability help enable 5x higher throughput at 50 percent power usage vs. NVIDIA A10.3

     

Deploy a Foundation of Unmatched Flexibility with Xᵉ Architecture

  • Intel® Data Center GPU Flex 140
  • Intel® Data Center GPU Flex 170
  • Intel® Data Center GPU Flex 170V

Intel® Data Center GPU Flex 140: A Multifaceted Visual Engine

Unlock the full potential of VDI efficiency and media processing precision with up to four media engines and 16 Xe cores in a 75W, half-height PCIe package. Enable advanced workloads with unparalleled ease, flexibility, and scalability.

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See AI performance data

Enable Boundless Workspaces for VDI

With up to 62 virtual functions based on hardware-enabled single-root input/output virtualization (SR-IOV) and no licensing fees, the Intel® Data Center GPU Flex 140 delivers impeccable quality, flexibility, and productivity at scale.

Download the VDI solution brief

Watch the VDI demo

Download the Intel® Data Center GPU Flex 140 lab insights for VDI brief

Achieve Media Processing and Delivery Excellence

Up to 8K 10-bit encode and 8K60 12-bit decode in the Intel® Data Center GPU Flex 140 help ensure high-quality content delivery with support for AV1, HEVC, AVC, and VP9.

Download the media delivery solution brief

Intel® Data Center GPU Flex 170: The Analytic Graphics Engine

Step into a new era of unprecedented AI analytics speed and accuracy with up to 32 Xe cores in a 150W, full-height PCIe form factor. The Intel® Data Center GPU Flex 170 is tailored for adaptive AI workloads with up to 500 TOPS.

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See AI performance data

Unleash AI Brilliance for Visual Inference and Analytics

Built on open standards and with native support for essential AI frameworks, the Intel® Data Center GPU Flex 170 achieves up to 128 FP16/BF16 ops/clock, 256 int8 ops/clock, or 512 int4/int2 ops/clock for powerful, scalable inference.

Download the AI solution brief

Watch the AI inferencing demo

Intel® Data Center GPU Flex 170V: Cost-effective VDI

For VDI applications, experience great compute performance with lower complexity in a 150W, full-height PCIe form factor with 32 Xe cores. The Intel Data Center GPU Flex 170V is built to be a lower TCO option while providing the performance and features needed to enable world-class VDI capabilities.

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Find Intel® Data Center GPU Flex Series-Enabled Systems

Over 100 system designs with the Intel® Data Center GPU Flex Series are available now from OEMs, including Cisco, Dell Technologies, HPE, H3C, IEIT SYSTEMS, Lenovo, Nettrix, Powerleader, Supermicro, and xFusion. Contact your Intel representative to get started.

Find Systems with Intel® GPUs

See a list of available and soon-to-be-available systems that support the Intel® Data Center GPU Flex Series.

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Explore GPU-Ready Systems

This list of vetted systems has passed automated stress and functional tests for the Intel® Data Center GPU Flex Series.

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Access Developer Resources for Intel® GPUs

Jumpstart development for Intel® GPU-enabled solutions with the right tools and testing environments.

Start Developing for Intel® GPUs

     

Review use cases, topics, and libraries optimized for the Intel® Data Center GPU Flex Series.

Explore GPU developer tools

Start Using Intel® GPUs on Intel® Tiber™ Developer Cloud

Develop and run software on the Intel® Data Center GPU Flex Series in a sandbox environment today.

Accelerate development

Extend Intel® Data Center GPU Flex Series Capabilities

Elevate VDI with Intel® Data Center GPUs

Read the blog post

Test GPUs in VDI for Modern Work Environments

Read the blog post

Optimize AI with Intel® Xe Matrix Extensions

Read the blog post

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Explore Related Business and Technology Resources

Continue your journey with more topics related to the Intel® Data Center GPU Flex Series.

oneAPI GPU Optimization Guide

Xᵉ-HPG Microarchitecture

VDI performance white paper

     

Support

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Product and Performance Information

1

Up to 4x more 4K media transcode streams (FFmpeg): testing by Intel as of October 9, 2023. Intel configuration: System Vendor: Intel Coyote Pass, CPU: Intel® Xeon® Platinum 6336Y CPU @ 2.40GHz, stepping 6), two sockets, 24 cores, two threads (96 CPUs), memory: GB 32-ch 3200 MT/sec, ucode: 0xd000280, BIOS: SE5C620.86B.01.01.0003.2104260124, OS: Ubuntu 22.04 LTS (Jammy Jellyfish), Kernel: 5.15.0-84-generic, GPU: Intel® Data Center GPU Flex Series 140 x 1—B1 PRQ RLG1, driver: Production_682.22_20230912, GPU firmware: ATS_M75_128_B0_ES_029_23WW08_02_GS2054_PC9815_OP1060_Headless_P2SB_DS_ECC_EN (ECC Off), HT enabled, Turbo on, FFmpeg n6.0, data collected on PVT card < 55C temperature. NVIDIA configuration: System vendor: GIGABYTE G492-H80-00, CPU: Intel® Xeon® Gold 6338 CPU @ 2.00GHz, stepping 6), two sockets, 32 cores, two threads (128 CPUs), Memory: 256 GB 32-ch 3200 MT/sec, ucode: 0xd000389, BIOS: F25, OS: Ubuntu 22.04 LTS (Jammy Jellyfish), Kernel: 5.15.0-67-generic, GPU: NVIDIA L4 (UUID: GPU-143f747e-97c2-c500-2122-a88ab89fffe5) SN: 1325222012830, Driver: docker: nvidia/cuda:12.2.0-devel-ubuntu22.04, 535.104.05 CUDA 12.2, GPU firmware: Vbios 95.04.29.00.06 (ECC Off), HT enabled, Turbo on, FFmepg version 5.1.git(g9ef20920ab), NVIDIA-smi 535.104.05, Data collected on NVIDIA L4 card < 55C temperature. See https://www.intel.com/content/www/us/en/secure/content-details/820189/competitive-proof-points-nvidia.html?DocID=820189 for additional details.

2

Up to 55 percent better visual inference for object detection: testing by Intel as of September 16, 2022. Intel configuration: 2S Intel® Xeon® 4309Y processor, 256 GB DDR4-2933, 1x Intel® Data Center GPU Flex 170, Ubuntu 20.04 Kernel 5.10, Agama 419, OpenVINO™ 2022.2.0 ‒ 90 1080p AVC streams at 25 FPS with YOLO v5. NVIDIA configuration: 2S Intel® Xeon® 6336Y processor, 128 GB DDR4-3200, 1x NVIDIA A10 GPU, Ubuntu 20.04, Kernel 5.15, NVIDIA Driver 515.65.01, CUDA 11.7 Update 1, DeepStream 6.1.1, TensorRT 8.4.1.5 ‒ 58 1080p AVC streams at 25 FPS with YOLO v5. See https://www.intel.com/content/www/us/en/secure/content-details/820189/competitive-proof-points-nvidia.html?DocID=820189 for additional details.

3

Up to 50 percent lower TCO for VDI: pricing as of October 11, 2023. Intel® Data Center GPU Flex Series pricing is recommended customer pricing from Intel pricing group. Actual system-level cost will vary based on server configurations. Actual pricing may vary. Intel® Data Center GPU Flex Series 170 has 16 GB vRAM and supports 16 users. NVIDIA cost includes GPU plus NVIDIA vGPU vPC CCU per-user licensing fees for five years—1 GB per user profile. NVIDIA A16 has 64 GB and supports 64 users. Pricing sources: cdw.com/product/pny-nvidia-a16-64gb-gddr6-graphic-card/7091857 and nvidia.com/content/dam/en-zz/Solutions/design-visualization/solutions/resources/documents1/Virtual-GPU-Packaging-and-Licensing-Guide.pdf. See https://www.intel.com/content/www/us/en/secure/content-details/820189/competitive-proof-points-nvidia.html?DocID=820189 for additional details.

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