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Developer Tools and Software for Intel® Data Center GPU Flex Series

Review use cases, get started topics, tools, and libraries that are optimized for Intel® Data Center GPU Flex Series hardware—the industry's most open GPU solution for the intelligent visual cloud.

  

  • Virtual Desktop Infrastructure (VDI)
  • AI Inference
  • Media Delivery
  • Tools and Libraries

Virtual Desktop Infrastructure (VDI)

Remote workers can access the applications and data they need, when and where they need it, using the VDI support in Intel Data Center GPU Flex Series. Additional support includes virtualization through Passthrough and Single Root I/O Virtualization (SR-IOV) approaches.

  • Passthrough is based on Intel® Virtualization Technology (Intel® VT) for Directed I/O (Intel® VT-d). This approach allows direct assignment of an entire GPU to a single user, passing native driver capabilities through the hypervisor without any limitations.
  • SR-IOV allows a device, such as a GPU card or network adapter, to separate access to its resources among various PCIe* hardware functions. This "fractionalizing" of the GPU allows separate workloads or users to share the GPU resources simultaneously.

Using Intel Data Center GPU Flex Series for VDI has the following advantages:

  • Low total cost of ownership (TCO) option
  • Hardware-based virtualization via SR-IOV and PCIe passthrough
  • Configurable dynamic scheduler
  • No virtualization license fees
  • No support calls for licensing server issues

Get Started

Try the following validated, publicly available VDI solutions:

  • Virtualization and Setup Guide with KVM-based Hypervisor
  • Intel® Data Center Graphics Driver for VMware ESXi*

Supported remoting agents:

  • Citrix* Virtual Apps and Desktops 7 v23.11+
  • VMware Horizon* 8 v23.03+
  • GuestOS – WinClient 10/11 and Windows Server* 2019/2022

Enable SR-IOV on the following hardware:

  • Dell* Systems
  • VMware
  • Citrix

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More Resources

  • Watch: Accelerate VDI with Intel Data Center GPU Flex Series
  • Watch: Intel Data Center GPU Flex Series 170—Subscription-Free GPU Accelerated VDI on Proxmox* 8.1
  • Intel Data Center GPU Flex Series for VDI Solution Brief
  • VDI Evolution Accelerated: Intel Data Center GPU Flex Series Takes the Virtual Reins
  • Overview and Performance of VDI on Intel Data Center GPU Flex Series
  • Boost Video and Graphics Delivery in Horizon with VMware Blast and AV1 Enabled on Intel GPUs
  • Cisco UCS X-Series with Intel Flex Data Center GPUs and VDI
  • Accelerate Remote Desktops with Intel Data Center GPU Flex Series
  • VMware Compatibility Guide

AI Inference

AI is transforming how we live and work every day. You can use Intel Data Center GPU Flex Series for a range of inference use cases. This includes large language models (LLM) as well as visual inference scenarios with image input, such as healthcare, smart cities, and frictionless retail applications. AI Tools provide optimized extensions for AI frameworks like TensorFlow* and PyTorch*. Optimize and deploy AI inference with the Intel® Distribution of OpenVINO™ toolkit. Combine with hardware accelerated decode, encode, and frame processing from Intel-enabled open source FFmpeg* and GStreamer industry-standard media frameworks to build pipelines with great end-to-end performance.

Intel Data Center GPU Flex Series supports popular AI frameworks:

  • TensorFlow Optimizations from Intel
  • Intel® Extension for TensorFlow* on GitHub*
  • PyTorch Optimizations from Intel
  • Intel® Extension for PyTorch* on GitHub
  • Intel Distribution of OpenVINO Toolkit
  • Get Started with the OpenVINO Toolkit

For hardware-accelerated decode, encode, and frame processing, use Intel-optimized FFmpeg and GStreamer or Intel® Video Processing Library (Intel® VPL). 

Read the AI Visual Inference Solution Brief

Construct Visual Inference Pipelines

To build your own visual inference pipeline, you can use the following components:

Hardware accelerated media:

  • Codecs: JPEG, AVC, HEVC, VP9, AV1
  • Frame processing: resize, crop, color space conversion

Model support:

  • Optimized: SSD MobileNet*, ResNet*-50, YOLOv4*, EfficientNet-B0, EfficientNet-B3, Mask-RCNN, and more
  • Over 300 models functionally validated

Get Started

Take advantage of support for a wide range of models via frameworks like OpenVINO, Intel Extension for PyTorch, Intel Extension for TensorFlow, Intel® XPU back end for Triton, and more.

Intel® AI Reference Models include Linux* containers to quickly replicate the complete software environment that demonstrates the best-known performance of each of these target model or dataset combinations.

  • Optimized Intel AI Reference Models
  • More Intel AI Reference Models on GitHub

Code Samples

  • Intel® Deep Learning Streamer (Intel® DL Streamer)
  • Intel® AI Visual Inference Samples
  • Introduction to Intel Extension for PyTorch
  • PyTorch GPU Tutorial
  • TensorFlow Tutorial
  • Intel Extension for PyTorch Get Started Sample

Demos

  • Smart City Demo
  • LLM Inference Demo
  • Accelerate LLM Using BigDL

AI Performance Results

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

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Media Delivery

With Intel® Data Center GPU Flex Series, you get a general-purpose data center graphics processor with compute and video processing capabilities. The media capabilities can be used for virtual desktop infrastructure (VDI) and visual inference, but they can also be used on their own for use cases like media transcode and streaming.

Access Intel hardware-accelerated video decode, encode, and frame-processing features via FFmpeg* and GStreamer. These industry standard frameworks allow video applications to "just work" across accelerators, hardware generations, and vendors with minimal code changes, making the oneAPI vision a reality for media too. 

Get Started

Start by using media capabilities with FFmpeg and GStreamer:

  • Intel VPL Enabled in FFMPEG: Achieving Great Streaming Quality on Intel GPUs

More Resources

  • Intel Data Center GPU Flex Series for Media Processing and Delivery
  • Watch: Intel Data Center GPU Flex Series Transcode Demo

Industry-Standard AI and Media Framework Support Provides Portability

Accelerate time-to-market for inference, media, and virtual desktop infrastructure (VDI) with Intel's fully open software stacks. Multiple AI extension projects from Intel allow applications based on industry-standard AI frameworks (like PyTorch* and TensorFlow*) to run on Intel® Data Center GPU Flex Series hardware with minimal changes. Industry-standard media frameworks like FFmpeg* and GStreamer are also enabled to access Intel Data Center GPU Flex Series video decode, encode, and frame-processing hardware acceleration capabilities.

Start with the Intel® oneAPI Base Toolkit for heterogeneous development across CPUs, GPUs, and FPGAs. It is open source, based on open standards, and features an industry-leading C++ compiler that implements SYCL*—an evolution of C++ for heterogeneous computing. A range of performance libraries provide portable acceleration. Enhanced performance profiling, design assistance, and debug tools are also included.

Access low-level media and compute capabilities via oneAPI Level Zero, OpenCL™ APIs, Vulkan*, and Intel® Video Processing Library (Intel® VPL). 

More Resources

Get Started Guides & Articles

oneAPI GPU Optimization Guide

Intel® VTune™ Profiler

Intel® Distribution of OpenVINO™ ­Toolkit Get Started Guide

Training, Webinars & Tutorials

Enable Intel VPL in FFmpeg

Intel oneAPI 2023 Release: Preview the Tools

Tune Applications on CPUs & GPUs with an LLVM*-Based Compiler from Intel

Profile Heterogeneous Computing Performance with Intel VTune Profiler

Intel Data Center GPU Flex Series at Innovation 2023

Migrate CUDA* Code to SYCL*

SYCL* Origins: A True Standard with a Growing Ecosystem

Quickly Migrate Existing CUDA* Code to SYCL

Intel® DPC++ Compatibility Tool Get Started Guide

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Intel® Tiber™ AI Cloud

Intel® Data Center GPU Flex Series Is Available Now in the Intel® Tiber™ AI Cloud

Get what you need to build, test, and optimize your oneAPI projects for free.

Try Intel Tiber AI Cloud Today

Product and Performance Information

† For workloads and configurations, see the Intel Data Center GPU Flex Series Performance Index. Results may vary.

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