NVIDIA Data Center GPU Driver版本高亮文档说明书-USB迷|专注于互联网分享

2024年7月22日发(作者：羊天逸)

NVIDIA Data Center GPU Driver

version 470.182.03 (Linux) / 474.30

(Windows)

Release Notes

RN-08625-470 _v8.0 | March 2023

Table of Contents

Chapter 1. 1

1.1. 1

1.2. 2

1.3. 3

Chapter 2. 5

Chapter 3. Hardware and 7

NVIDIA Data Center GPU Driver version 470.182.03

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Chapter n Highlights

This section provides highlights of the NVIDIA Data Center GPU R470 Driver (version

470.182.03 Linux and 474.30 Windows).

For changes related to the 470 release of the NVIDIA display driver, review the file

"NVIDIA_Changelog" available in the .run installer packages.

‣

Linux driver release date: 3/30/2023

‣

Windows driver release date: 3/30/2023

1.1. Software Versions

For this release, the software versions are listed below.

‣

CUDA Toolkit 11: 11.4

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

independently. For a full list of the individual versioned components (for example,

nvcc, CUDA libraries and so on), see the CUDA Toolkit Release Notes

‣

NVIDIA Data Center GPU Driver: 470.182.03 (Linux) / 474.30 (Windows)

‣

Fabric Manager: 470.182.03 (Use

nv-fabricmanager -v

)

‣

GPU VBIOS:

‣

HGX A100 PG506

‣

92.00.45.00.03 SKU200 40GB air cooling (lidless)

92.00.45.00.04 SKU202 40GB hybrid cooling (lidded)

92.00.45.00.05 SKU210 80GB air cooling (lidless)

92.00.45.00.06 SKU212 80GB hybrid cooling (lidded)

92.00.81.00.01 SKU200 40GB air cooling (lidless)

92.00.81.00.02 SKU202 40GB hybrid cooling (lidded)

92.00.81.00.04 SKU210 80GB air cooling (lidless)

92.00.81.00.05 SKU212 80GB hybrid cooling (lidded)

‣

HGX A100 PG510

NVIDIA Data Center GPU Driver version 470.182.03

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Version Highlights

‣

HGX A800 PG506

‣

HGX A800 PG510

‣

92.00.A4.00.01 SKU215 80GB air cooling (lidless)

‣

92.00.A4.00.05 SKU215 80GB air cooling (lidless)

‣

92.00.90.00.04 (NVIDIA A100 PCIe)

‣

92.00.A4.00.0C 40 GB SKU203 PCIe

‣

92.00.A4.00.0D 80 GB SKU235 PCIe

‣

A100 PCIe P1001 SKU230

‣

A800 PCIe P1001

‣

NVSwitch VBIOS: 92.10.14.00.01

‣

NVFlash: 5.791

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, NVIDIA HGX A100), refer to the Fabric Manager User Guide.

1.2. Fixed Issues

‣

Resolved a kernel panic on A100 when using both MIG and DCGM. Pascal GPU page

faults were hitting a NULL pointer dereference in the UVM driver while there was not

enough system memory available to handle the faults.

‣

Resolved an issue that sometimes caused abnormal BAR1 memory usage.

controller was not woken up from sleep state when an external submodule wants to

use L1C. This was fixed by Switching the PROD value to disable L1C BLCG will not

cause the hang in the chip until some other event wakes up the BLCG FSM.

‣

nvidia-smi -q

returns strange values on A100 and A16 GPUs.

‣

In the L1C submodule when the clock is gated, there is a corner case where the BLCG

‣

Fixed an issue where the NVIDIA Linux GPU kernel driver was calling the Linux kernel

scheduler while holding a lock with preemption disabled during event notification.

‣

In the code path related to allocating virtual address space, a call to reallocate

memory for tracking structures was allocating less memory than needed, resulting in

a potential memory trampler. The size of the reallocation is now correctly calculated.

‣

Fixed the Race condition between cudaFreeAsync() and cudaDeviceSynchronize()

which were being hit if device sync is used instead of stream sync in multi threaded

app. Now a Lock is being held for the appropriate duration so that a subpool cannot

be modified during a very small window which triggers an assert as the subpool

should have been empty due to the free code.

NVIDIA Data Center GPU Driver version 470.182.03

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Version Highlights

1.3.

General

Known Issues

‣

The GPU driver build system might not pick the

file, produced when

building the

ofa_kernel

module from MLNX_OFED, from the right subdirectory.

Because of that,

nvidia_

does not have the right kernel symbol versions

for the APIs exported by the IB core driver, and therefore it does not load correctly.

That happens when using MLNX_OFED 5.5 or newer on a Linux Arm64 or ppc64le

platform.

To work around this issue, perform the following:

that nvidia_ does not load correctly.

all old MLNX_OFED if one was installed.

ly remove

/usr/src/ofa_kernel/default

if one exists.

l MLNX_OFED 5.5 or newer.

ly create a soft link:

all the GPU driver.

/usr/src/ofa_kernel/default -> /usr/src/ofa_kernel/$(uname -m)/$(uname -r)

‣

On HGX A800 8-GPU systems, the nvswitch-audit tool will report 12 NVLinks per

GPU. This is a switch configuration report and does not reflect the true number of

NVLink interfaces available per-GPU, which remains 8.

with this driver version.

‣

Combining A800 and A100 SXM modules in a single server is not currently supported

‣

Combining A800 and A100 PCIe with NVLink is not fully tested.

‣

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).

‣

When installing a driver on SLES15 or openSUSE15 that previously had an R515

driver installed, users need to run the following command afterwards to finalize the

installation:

sudo zypper install --force nvidia-gfxG05-kmp-default

Without doing this, users may see the kernel objects as missing.

NVIDIA Data Center GPU Driver version 470.182.03

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Version Highlights

‣

If you encounter an error on RHEL7 when installing with

cuda-drivers-

fabricmanager

packages, use the following alternate instructions. For example:

If you are upgrading from a different branch, for example to driver 470.141.03:

new_version=470.141.03

sudo yum swap nvidia-driver-latest-dkms nvidia-driver-latest-dkms-${new_version}

sudo yum install nvidia-fabric-manager-${new_version}

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.

Unified Memory Support

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.

OpenCL 3.0 Known Issues

‣

Device-Side-Enqueue related queries may return 0 values, although corresponding

built-ins can be safely used by kernel. This is in accordance with conformance

requirements described at /registry/OpenCL/specs/3.0-

unified/html/OpenCL_#opencl-3.0-backwardscompatibility

limited to 64-bit platforms only.

‣

Shared virtual memory—the current implementation of shared virtual memory is

NVIDIA Data Center GPU Driver version 470.182.03

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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.

The following hypervisors are supported for virtualization:

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

Windows Server 2012 R2 Hyper-V

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

The following GPUs are supported for device passthrough for virtualization:

GPU Family

NVIDIA Ampere GPU Architecture

Turing

Volta

Pascal

Boards Supported

NVIDIA A100, A800, A40, A30, A16, A10

NVIDIA T4

NVIDIA V100

Quadro: P2000, P4000, P5000, P6000, GP100

Tesla: P100, P40, P4

NVIDIA Data Center GPU Driver version 470.182.03

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Virtualization

GPU Family

Maxwell

Boards Supported

Quadro: K2200, M2000, M4000, M5000, M6000,

M6000 24GB

Tesla: M60, M40, M6, M4

Kepler

Quadro: K2000, K4000, K4200, K5000, K5200, K6000

Tesla: K520, K80

Tesla: K10, K20, K20x, K20Xm, K20c, K20s, K40m,

K40c, K40s, K40st, K40t, K80, K520

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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 470 driver is supported on the following operating systems:

‣

Windows x86_64 operating systems:

‣

Microsoft Windows

Server 2022

Microsoft Windows

Server 2019

Microsoft Windows

Server 2016

Microsoft Windows

‣

The following table 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 <=4)

x86_64

Yes

POWER

Yes

Arm64 Server

Yes

Red Hat EnterpriseYes

Linux 8.y (where y <= 7)

Rocky Linux 8.y (where

y <= 7)

Red Hat Enterprise

Linux / CentOS 7.y

(where y <= 9)

Yes

SUSE Linux EnterpriseYes

Server 15.y (where y <=

NVIDIA Data Center GPU Driver version 470.182.03

(Linux) / 474.30 (Windows)

NoYes

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Hardware and Software Support

Distribution

Ubuntu 20.04.z LTS

(where z <= 5)

Ubuntu 18.04.z LTS

(where z <= 6)

x86_64

Yes

POWER

Arm64 Server

Yes

Supported Operating Systems and CPU Configurations for NVIDIA HGX

A100 and HGX A800

The Release 470 driver is validated with NVIDIA HGX A100 and HGX A800 on the

following operating systems and CPU configurations:

‣

Linux 64-bit distributions:

‣

Red Hat Enterprise Linux 8.7 (in 4/8/16-GPU configurations)

Red Hat Enterprise Linux 7.9 (in 4/8/16-GPU configurations)

Rocky Linux 8.7 (in 4/8/16-GPU configurations)

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

Ubuntu 18.04.6 LTS (in 4/8/16-GPU configurations)

SUSE SLES 15.4 (in 4/8/16-GPU configurations)

‣

Windows 64-bit distributions:

‣

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

currently not supported)

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 470 driver is validated with NVIDIA HGX A100 and HGX A800 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 18.04.4 LTS

‣

16-GPU configurations with Ubuntu 18.04.4 LTS

‣

1/2/4/8-GPU configurations with Windows x86_64 operating systems:

‣

Microsoft Windows

Server 2019

NVIDIA Data Center GPU Driver version 470.182.03

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Hardware and Software Support

‣

Microsoft Windows

API Support

This release supports the following APIs:

‣

NVIDIA

CUDA

11.4 for NVIDIA

Kepler

, Maxwell

, Pascal

, Volta

, Turing

and NVIDIA Ampere architecture GPUs

OpenGL

4.6

Vulkan

1.2

DirectX 11

DirectX 12 (Windows 10)

Open Computing Language (OpenCL

‣

software) 3.0

Note that for using graphics APIs on Windows (such as OpenGL, Vulkan, DirectX 11,

and DirectX 12) or any WDDM 2.0+ based functionality on Data Center 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 Data Center GPU 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.

Attention: Release 470 will be the last driver branch to support Data Center GPUs based

on the NVIDIA Kepler architecture. This includes discontinued support for the following

compute capabilities:

‣

sm_30 (NVIDIA Kepler)

sm_32 (NVIDIA Kepler)

sm_35 (NVIDIA Kepler)

sm_37 (NVIDIA Kepler)

For more information on GPU products and compute capability, see

/cuda-gpus.

NVIDIA Server Platforms

Product

NVIDIA HGX A800

NVIDIA HGX A100

NVIDIA HGX-2

Architecture

A800 and NVSwitch

A100 and NVSwitch

V100 and NVSwitch

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Hardware and Software Support

RTX-Series / T-Series Products

Product

NVIDIA RTX A6000

NVIDIA RTX A5000

NVIDIA RTX A4000

Quadro RTX 8000

Quadro RTX 6000

NVIDIA T1000

NVIDIA T600

NVIDIA T400

GPU Architecture

NVIDIA Ampere architecture

NVIDIA Turing

Data Center A-Series Products

Product

NVIDIA A800

NVIDIA A100

NVIDIA A100 80 GB PCIe

NVIDIA A40

NVIDIA A30

NVIDA A16

NVIDIA A10

NVIDIA Ampere architecture

GPU Architecture

NVIDIA Ampere architecture

Data Center T-Series Products

Product

NVIDIA T4

GPU Architecture

NVIDIA Turing

Data Center V-Series Products

Product

NVIDIA V100

GPU Architecture

Volta

Data Center P-Series Products

Product

NVIDIA Tesla P100

NVIDIA Tesla P40

NVIDIA Tesla P4

GPU Architecture

NVIDIA Pascal

NVIDIA Data Center GPU Driver version 470.182.03

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Hardware and Software Support

Data Center K-Series Products

Product

NVIDIA Tesla K520

NVIDIA Tesla K80

GPU Architecture

NVIDIA Kepler

Data Center 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 470.182.03

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