XPU 2.0.21-9 Release Notes

 

     Welcome to XPU2.0.21-9. This document provides important information about the XPU2.0.21-9 release.

     XPU is available to download from the Latest XPU Download page. To access XPU 2.0.21-9 product documentation, see XPU 2.0.21-9 Product. For frequently asked questions about XPU, see XPU Product FAQ (v2.0.21-9).

     Documentation can be updated or changed after the initial release. We suggest that you regularly visit the XPU 2.0.21-9 Product page to learn about updates.

 

New Features and Improvements in XPU2.0.21-9

 

     XPU2.0.21-9 introduces enhanced features and functionality for multiple NVIDIA GPUs support. Also, XPU 2.0.21-9 supports GPU compute and memory virtualization independently.

Supported GPUs Increased to 8

     XPU now supports up to a maximum of 8GPUs per host. Increased GPUs helps in a more efficient management of containers and provides greater scalability when using big AI models.

Independent container vGPU memory and compute parameters

     When creating containers, users can specify independent Compute and Memory shares for vGPU via the YOYO_XPU_SHARES environment variables.

     For more information, see YOYOWORKS XPU White Paper (v2.0.21-9).

 

Experimental Features

 

     In addition to the CUDA applications, the current version supports OpenGL/OpenEGL rendering applications.

     For more information, see YOYOWORKS XPU White Paper (v2.0.21-9).

 

Compatibility

 

Architecture Compatibility

     XPU 2.0.21-9 supports all Intel/AMD x86_64 computers with the following NVIDIA GPUs:

     - NVIDIA Kepler, Maxwell, Pascal, Volta, Turing, Ampere GPUs

     - NVIDIA driver version 440.x.y or later (NVIDIA GRID drivers are supported as well)

Operating Systems

     XPU2.0.21-9only support Linux. The following Linux distributionsare fully supported:

     - RHEL 7.x (7.9 recommended), RHEL 8.x (8.4 recommended)

     - CentOS 7.x (7.9 recommended), CentOS 8.x (8.4 recommended)

     - Ubuntu 18.04 LTS Server Version, Ubuntu 20.04 LTS Server Version

 

Advisories and Known Issues

 

     The following section details advisories and minor issues with this release and any workarounds that you can apply.

General

     - Usually homogeneous GPUs are provisioned on one computer, although XPU supports GPUS with different architecture deployed on one machine.

Other OS

     - Usually we strongly recommend you choose the listed OS, but if you really want to deploy XPU on other Linux distributions, please email business@yoyoworks.com for help.

 

About YOYOWORKS

YOYOWORKS is leading the transition to a new software-defined heterogeneous computing infrastructure. Leveraging virtualization technologies, YOYOWORKS solutions power AI, scientific computing, rendering workloads with instant access to elastic accelerator resources over any network and cloud.

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