Software for Intel® Data Center GPU Flex Series
Flexible, Robust, and the Industry's Most Open GPU Solution for the Intelligent Visual Cloud
The Intel® Data Center GPU Flex Series supports an open, standards-based software stack optimized for density and quality. With critical server capabilities for high reliability, availability, and scalability, the GPU supports media streaming and cloud gaming. Later capabilities will include support for AI visual inference and virtual desktop infrastructure workloads.
The Intel Data Center GPU Flex Series reduces the need for data centers to use disparate solutions to manage heterogeneous or proprietary environments.
Media Delivery
The Intel Data Center GPU Flex Series is the industry's first data center GPU with a hardware AV1 encoder. This GPU provides stunning video performance, optimized by the Intel® oneAPI Video Processing Library.†
- 5x media transcode and decode throughput at half the power of the competition
- 8 simultaneous 4Kp60 streams, or more than 30 simultaneous 1080p60 streams per PCIe* card
Choose Your Operating System
Before You Begin
Get your system ready to run media workloads with Intel Data Center GPU Flex Series. Get the latest Linux* driver and check that it is installed correctly.
Get Started with Transcoding
To ensure your media stack is running properly, build a media-delivery Docker* image and run an AVC to HEVC FFmpeg* transcoding sample within a container.
Explore Media Delivery Further
This GitHub* project has a collection of samples that demonstrate best practices to achieve optimal video quality and performance on Intel GPUs for content delivery networks. Watch the demo for recommended command lines and quality and performance-measuring tools.
Before You Begin
Get your system ready to run media workloads with Intel Data Center GPU Flex Series. Get the latest Linux* driver and check that it is installed correctly.
Get Started with Transcoding
To ensure your media stack is running properly, build a media-delivery Docker* image and run an AVC to HEVC FFmpeg* transcoding sample within a container.
Explore Media Delivery Further
This GitHub* project has a collection of samples that demonstrate best practices to achieve optimal video quality and performance on Intel GPUs for content delivery networks. Watch the demo for recommended command lines and quality and performance-measuring tools.
Before You Begin
Get your system ready to run media workloads with Intel Data Center GPU Flex Series. Get the latest Linux* driver and check that it is installed correctly.
Explore Media Delivery Further
This GitHub* project has a collection of samples that demonstrate best practices to achieve optimal video quality and performance on Intel GPUs for content delivery networks. Watch the demo for recommended command lines and quality and performance-measuring tools.
Before You Begin
Get your system ready to run media workloads with Intel Data Center GPU Flex Series. Get the latest Linux* driver and check that it is installed correctly.
Getting Started with Transcoding
To ensure your media stack is running properly, build a media-delivery Docker* image and run an AVC to HEVC FFmpeg* transcoding sample within a container.
Transcoding Sample for RHEL 8.6
Explore Media Delivery Further
This GitHub* project has a collection of samples that demonstrate best practices to achieve optimal video quality and performance on Intel GPUs for content delivery networks. Watch the demo for recommended command lines and quality and performance-measuring tools.
Android* Cloud Gaming
The Intel Data Center GPU Flex Series provides a standards-based, high throughput, low total cost of ownership foundation for cloud gaming that helps providers build efficient, effective infrastructure. The platform brings together high gameplay quality with a high density of game instances per server.
- Over 90 games validated
- Intel®-optimized Android* cloud gaming reference stack
- Intel® GPU and CPU compatible code stacks using oneAPI
- Up to 68 select 720p30 game streams on Intel Data Center GPU Flex Series 170
- Up to 46 select 720p30 game streams on Intel Data Center GPU Flex Series 140
AI Inference
The Intel Data Center GPU Flex Series is ideal for AI inference workloads, including smart city, library indexing and compliance, and AI-guided video enhancement workloads. The Intel® AI Analytics Toolkit supports the most common AI frameworks, TensorFlow* and PyTorch*, and the optimization of AI algorithms from other frameworks through the Intel® Distribution of OpenVINO™ toolkit.
- Support for the most popular AI frameworks
- Scale code from Intel® Xeon® processors to Intel Data Center GPU Flex Series
- Delivers AI optimized kernels using the Intel® oneAPI Deep Neural Network Library (oneDNN), part of the Intel AI Analytics Toolkit
Virtual Desktop Infrastructure (VDI)
The Intel Data Center GPU Flex Series supports multiple virtual GPU (vGPU) configuration and scheduling options for VDI solutions to meet different customer workload and quality of service (QoS) requirements. Intel provides virtual GPU software licenses to customers for free to help lower their total cost of ownership in VDI deployments.
- Hardware-based single root I/O virtualization (SR-IOV)
- Flexible vGPU management such as support for multiple configurations and scheduling options
- Strong ecosystem support including VMware ESXi*, VMware Horizon*, Citrix* Desktop as a Service (DaaS), and more
Get Started
Get Started with Intel GPUs
Find information on hardware configurations and installation guides for your Intel GPU hardware.
Demo: Advanced Ray Tracing on a GPU
Learn how Intel and Google* collaborated to deliver TensorFlow optimizations such as quantization and op fusions using the Intel® oneAPI Rendering Toolkit.
Open Software Stack Helps You Get the Most of the Intel Data Center GPU Flex Series
Using key open source technologies with Intel oneAPI cross-architecture tools, developers can:
- Innovate faster
- Reduce development time, complexity, and cost
- Overcome the constraints of proprietary environments that limit code portability and adoption of new architectures
Intel® XPU Manager (Intel® XPUM)
Intel® XPU Manager (Intel® XPUM) is a free and open source solution built on top of the Intel® oneAPI Level Zero interface for monitoring and managing Intel® Data Center GPUs. Intel XPUM is a complete solution for GPU administration, location and topology, telemetry and health monitoring, diagnostics, firmware updating, setting GPU policies, and configuration. Use Intel XPUM as a stand-alone solution through its command-line interface for local GPU management, and through RESTful APIs for remote GPU management. It also includes a local library for third-party solution integration, such as workload and cluster managers, job schedulers, and monitoring solutions.
Intel® Data Center GPU Flex Series
Intel Data Center GPU Flex Series is flexible, robust, and the industry's most open GPU solution for the intelligent visual cloud.