NVIDIA Data Center GPU Driver 版本说明书-USB迷|专注于互联网分享

2024年7月22日发(作者：种阳曦)

NVIDIA Data Center GPU Driver version

450.142.00 (Linux) / 453.10 (Windows)

Release Notes

RN-08625-450 _v5.0 | July 2021

Table of Contents

Chapter 1. 1

1.1. 1

1.2. 2

1.3. 2

Chapter 2. 4

Chapter 3. Hardware and 6

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

RN-08625-450 _v5.0 | ii

Chapter n Highlights

This section provides highlights of the NVIDIA Data Center GPU 450 Driver (version 450.142.00

Linux and 453.10 Windows).

For changes related to the 450 release of the NVIDIA display driver, review the file

"NVIDIA_Changelog" available in the .run installer packages.

‣

Linux driver release date: 07/20/2021

‣

Windows driver release date: 07/20/2021

1.1. Software Versions

For this release, the software versions are listed below.

‣

CUDA Toolkit 11: 11.0.3

Note that starting with CUDA 11, individual components of the toolkit are versioned

independently. For a full list of the individual versioned components (e.g. nvcc, CUDA

libraries etc.), see the CUDA Toolkit Release Notes

‣

NVIDIA Data Center GPU Driver: 450.142.00 (Linux) / 453.10 (Windows)

‣

Fabric Manager: 450.142.00 (Use

nv-fabricmanager -v

)

‣

GPU VBIOS:

‣

NVSwitch VBIOS: 92.10.14.00.01

‣

NVFlash: 5.641

‣

92.00.19.00.01 (NVIDIA A100 SKU200 with heatsink for HGX A100 8-way and 4-way)

‣

92.00.19.00.02 (NVIDIA A100 SKU202 w/o heatsink for HGX A100 4-way)

Due to a revision lock between the VBIOS and driver, VBIOS versions >= 92.00.18.00.00 must

use corresponding drivers >= 450.36.01. Older VBIOS versions will work with newer drivers.

For more information on getting started with the NVIDIA Fabric Manager on NVSwitch-based

systems (for example, HGX A100), refer to the Fabric Manager User Guide.

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

RN-08625-450 _v5.0 | 1

Version Highlights

1.2. Fixed Issues

‣

Various security issues were addressed. For additional details on the med-high severity

issues, review the NVIDIA Security Bulletin 5211 .

‣

Fixed an issue with installing the Linux driver where installing the driver interferes with the

ipmitool

1.3.

General

Known Issues

‣

By default, Fabric Manager runs as a systemd service. If using

DAEMONIZE=0

in the Fabric

Manager configuration file, then the following steps may be required.

e FM service from auto starting. (

systemctl disable nvidia-

fabricmanager

)

the system is booted, manually start FM process. (

/usr/bin/nv-fabricmanager

-c /usr/share/nvidia/nvswitch/

). Note, since the process

is not a daemon, the SSH/Shell prompt will not be returned (use another SSH shell for

other activities or run FM as a background task).

‣

There is a known issue with cross-socket GPU to GPU memory consistency that is

currently under investigation

‣

On NVSwitch systems with Windows Server 2019 in shared NVSwitch virtualization mode,

the host may hang or crash when a GPU is disabled in the guest VM. This issue is under

investigation.

GPU Performance Counters

The use of developer tools from NVIDIA that access various performance counters

requires administrator privileges. See this note for more details. For example, reading

NVLink utilization metrics from

nvidia-smi (nvidia-smi nvlink -g 0)

would require

administrator privileges.

NoScanout Mode

NoScanout mode is no longer supported on NVIDIA Data Center GPU products. If NoScanout

mode was previously used, then the following line in the “screen” section of /etc/X11/

should be removed to ensure that X server starts on data center products:

Option "UseDisplayDevice" "None"

NVIDIA Data Center GPU products now support one display of up to 4K resolution.

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

RN-08625-450 _v5.0 | 2

Version Highlights

Unified Memory Support

Some Unified Memory APIs (for example, CPU page faults) are not supported on Windows in

this version of the driver. Review the CUDA Programming Guide on the system requirements

for Unified Memory

CUDA and unified memory is not supported when used with Linux power management states

S3/S4.

IMPU FRU for Volta GPUs

The driver does not support the IPMI FRU multi-record information structure for NVLink. See

the Design Guide for Tesla P100 and Tesla V100-SXM2 for more information.

Experimental OpenCL Features

Select features in OpenCL 2.0 are available in the driver for evaluation purposes only.

The following are the features as well as a description of known issues with these features in

the driver:

Device side enqueue

‣

The current implementation is limited to 64-bit platforms only.

‣

OpenCL 2.0 allows kernels to be enqueued with global_work_size larger than the compute

capability of the NVIDIA GPU. The current implementation supports only combinations of

global_work_size and local_work_size that are within the compute capability of the NVIDIA

GPU. The maximum supported CUDA grid and block size of NVIDIA GPUs is available at

/cuda/cuda-c-programming-guide/#computecapabilities.

For a given grid dimension, the global_work_size can be determined by CUDA grid size x

CUDA block size.

non-uniform ND-ranges where global_work_size does not need to be divisible by the

local_work_size. This capability is not yet supported in the NVIDIA driver, and therefore not

supported for device side kernel enqueues.

‣

For executing kernels (whether from the host or the device), OpenCL 2.0 supports

Shared virtual memory

‣

The current implementation of shared virtual memory is limited to 64-bit platforms only.

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

RN-08625-450 _v5.0 | 3

Chapter lization

To make use of GPU passthrough with virtual machines running Windows and Linux, the

hardware platform must support the following features:

‣

A CPU with hardware-assisted instruction set virtualization: Intel VT-x or AMD-V.

Platform support for I/O DMA remapping.

On Intel platforms the DMA remapper technology is called Intel VT-d.

On AMD platforms it is called AMD IOMMU.

Support for these features varies by processor family, product, and system, and should be

verified at the manufacturer's website.

Supported Hypervisors

The following hypervisors are supported:

Hypervisor

Citrix XenServer

VMware vSphere (ESX / ESXi)

Red Hat KVM

Microsoft Hyper-V

Notes

Version 6.0 and later

Version 5.1 and later.

Red Hat Enterprise Linux 7 with KVM

Windows Server 2016 Hyper-V

Generation 2

Tesla products now support one display of up to 4K resolution.

Supported Graphics Cards

The following GPUs are supported for device passthrough:

GPU Family

NVIDIA Ampere GPU Architecture

Turing

Volta

Pascal

Boards Supported

NVIDIA A100

NVIDIA T4

NVIDIA V100

Tesla: P100, P40, P4

RN-08625-450 _v5.0 | 4NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

GPU FamilyBoards Supported

Maxwell

Tesla: M60, M40, M6, M4

Kepler

Tesla: K520, K80

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

Virtualization

RN-08625-450 _v5.0 | 5

Chapter re and Software

Support

Support for these features varies by processor family, product, and system, and should be

verified at the manufacturer's website.

Supported Operating Systems for NVIDIA Data Center GPUs

The Release 450 driver is supported on the following operating systems:

‣

Windows x86_64 operating systems:

‣

Microsoft Windows

Server 2019

‣

Microsoft Windows

Server 2016

‣

Microsoft Windows

‣

The table below summarizes the supported Linux 64-bit distributions. For a complete list

of distributions, kernel versions supported, see the CUDA Linux System Requirements

documentation.

Distribution

OpenSUSE Leap 15.x

(where y <= 2)

Red Hat Enterprise

Linux / CentOS 8.y

(where y <= 4)

Red Hat Enterprise

Linux / CentOS 7.y

(where y <= 9)

SUSE Linux Enterprise

Server 15.x (where y <=

Ubuntu 20.04 LTS

Ubuntu 18.04.z LTS

(where z <= 5)

x86_64

Yes

POWER

Yes

Arm64 Server

Yes

YesNoNo

YesNoYes (see note)

Yes

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

RN-08625-450 _v5.0 | 6

Hardware and Software Support

Note that SUSE Linux Enterprise Server (SLES) 15.3 is provided as a preview for Arm64

server since there are known issues when running some CUDA applications related to

dependencies on

glibc 2.27

Supported Operating Systems and CPU Configurations for HGX A100

The Release 450 driver is validated with HGX A100 on the following operating systems and CPU

configurations:

‣

Linux 64-bit distributions:

‣

Red Hat Enterprise Linux 8.4 (in 4/8/16-GPU configurations)

CentOS Linux 7.9 (in 4/8/16-GPU configurations)

Ubuntu 18.04.5 LTS (in 4/8/16-GPU configurations)

SUSE SLES 15.3 (in 4/8/16-GPU configurations)

‣

Windows 64-bit distributions:

currently not supported)

‣

Windows Server 2019 (in 1/2/4/8-GPU configurations; 16-GPU configurationa are

Windows is supported only in shared NVSwitch virtualization configurations.

‣

CPU Configurations:

‣

AMD Rome in PCIe Gen4 mode

‣

Intel Skylake/Cascade Lake (4-socket) in PCIe Gen3 mode

Supported Virtualization Configurations

The Release 450 driver is validated with HGX A100 on the following configurations:

‣

Passthrough (full visibility of GPUs and NVSwitches to guest VMs):

‣

Shared NVSwitch (guest VMs only have visibility of GPUs and full NVLink bandwidth

between GPUs in the same guest VM):

‣

8-GPU configurations with Ubuntu 18.04.5 LTS

‣

1/2/4/8/16-GPU configurations with Ubuntu 18.04.5 LTS

‣

1/2/4/8-GPU configurations with Windows Server 2019

API Support

This release supports the following APIs:

‣

NVIDIA

CUDA

11.0 for NVIDIA

Kepler

, Maxwell

, Pascal

, Volta

, Turing

and

NVIDIA Ampere architecture GPUs

‣

OpenGL

4.5

‣

Vulkan

1.1

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

RN-08625-450 _v5.0 | 7

Hardware and Software Support

‣

DirectX 11

‣

DirectX 12 (Windows 10)

‣

Open Computing Language (OpenCL

software) 1.2

Note that for using graphics APIs on Windows (i.e. OpenGL, Vulkan, DirectX 11 and DirectX

12) or any WDDM 2.0+ based functionality on Tesla GPUs, vGPU is required. See the vGPU

documentation for more information.

Supported NVIDIA Data Center GPUs

The NVIDIA Data Center GPU driver package is designed for systems that have one or more

Tesla products installed. This release of the driver supports CUDA C/C++ applications and

libraries that rely on the CUDA C Runtime and/or CUDA Driver API.

NVIDIA Server Platforms

Product

NVIDIA HGX A100

NVIDIA HGX-2

Architecture

A100 and NVSwitch

V100 and NVSwitch

RTX-Series Products

Product

Quadro RTX 8000

Quadro RTX 6000

GPU Architecture

Turing

A-Series Products

Product

NVIDIA A100

GPU Architecture

NVIDIA Ampere

T-Series Products

Product

NVIDIA T4

GPU Architecture

Turing

V-Series Products

Product

NVIDIA V100

GPU Architecture

Volta

Tesla P-Series Products

Product

NVIDIA Tesla P100

NVIDIA Tesla P40

GPU Architecture

Pascal

RN-08625-450 _v5.0 | 8NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

Hardware and Software Support

Tesla P-Series Products

Product

NVIDIA Tesla P4

GPU Architecture

Pascal

Tesla K-Series Products

Product

NVIDIA Tesla K520

NVIDIA Tesla K80

GPU Architecture

Kepler

Tesla M-Class Products

Product

NVIDIA Tesla M60

NVIDIA Tesla M40 24 GB

NVIDIA Tesla M40

NVIDIA Tesla M6

NVIDIA Tesla M4

GPU Architecture

Maxwell

NVIDIA Data Center GPU Driver version 450.142.00 (Linux) /

453.10 (Windows)

RN-08625-450 _v5.0 | 9

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