NVIDIA Tesla Driver version 412.36(Windows) 产品说明说明-USB迷|专注于互联网分享

2024年7月22日发(作者：梁易蓉)

TESLA DRIVER VERSION

412.36(WINDOWS)

RN-08625-412.36 _v01 | May 2019

Release Notes

TABLE OF CONTENTS

Chapter 1. 1

1.1. 1

1.2. 1

1.3. 2

Chapter 2. Hardware and 4

Tesla Driver version 412.36(Windows)RN-08625-412.36 _v01 | ii

This section provides highlights of the NVIDIA Tesla 410 Driver, version 412.36 for

Windows. For changes related to the 410 release of the NVIDIA display driver, review

the file "NVIDIA_Changelog" available in the .run installer packages.

1.1. Fixed Issues

‣

Added security updates for driver components.

See NVIDIA Security Bulletin 4749 for details.

For additional details on the med-high severity issues please review NVIDIA

Product Security for more information.

1.2. Known Issues

NoScanout Mode

NoScanout mode is no longer supported on NVIDIA Tesla 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 Tesla products:

Option "UseDisplayDevice" "None"

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

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.

Tesla Driver version 412.36(Windows)RN-08625-412.36 _v01 | 1

Version Highlights

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.

Video Memory Support

For Windows 7 64-bit, this driver recognizes up to the total available video memory on

Tesla cards for Direct3D and OpenGL applications.

For Windows 7 32-bit, this driver recognizes only up to 4 GB of video memory on Tesla

cards for DirectX, OpenGL, and CUDA applications.

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.

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

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.

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

only.

‣

Shared virtual memory

‣

1.3. Virtualization

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.

Tesla Driver version 412.36(Windows)RN-08625-412.36 _v01 | 2

Version Highlights

‣

On AMD platforms it is called AMD IOMMU.

Support for these feature 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

Windows Server 2012 R2 Hyper-V

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

Supported Graphics Cards

The following GPUs are supported for device passthrough:

GPU Family

Turing

Volta

Pascal

Boards Supported

Tesla: T4

Tesla: V100

Quadro: P2000, P4000, P5000, P6000, GP100

Tesla: P100, P40, P4

Maxwell

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

24GB

Tesla: M60, M40, M6, M4

Kepler

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

Tesla: K10, K20, K20x, K20Xm, K20c, K20s, K40m, K40c,

K40s, K40st, K40t, K80, K520

Tesla Driver version 412.36(Windows)RN-08625-412.36 _v01 | 3

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

verified at the manufacturer's website.

Supported Operating Systems

The Release 410 driver is supported on the following operating systems:

‣

Windows 64-bit operating systems:

‣

Microsoft Windows

Server 2016

‣

Microsoft Windows

Server 2012 R2

‣

Microsoft Windows

‣

Microsoft Windows

8.1 (**Not supported starting with Volta**)

‣

Microsoft Windows

7 (**Not supported starting with Volta**)

Linux 64-bit distributions:

‣

Fedora 27

OpenSUSE Leap 15

Red Hat Enterprise Linux 6 (**Deprecated**)

Red Hat Enterprise Linux 7

SUSE Linux Enterprise Server 15

Ubuntu 14.04 LTS

Ubuntu 16.04 LTS

Ubuntu 18.04 LTS

‣

API Support

This release supports the following APIs:

‣

NVIDIA

CUDA

10.0 for NVIDIA

Kepler

, Maxwell

, Pascal

, Volta

and

Turing

GPUs

OpenGL

4.5

Tesla Driver version 412.36(Windows)RN-08625-412.36 _v01 | 4

Hardware and Software Support

‣

Vulkan

1.1

DirectX 11

DirectX 12 (Windows 10)

Open Computing Language (OpenCL

software) 1.2

Supported NVIDIA Tesla GPUs

The Tesla driver package is designed for systems that have one or more Tesla products

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

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

Tesla T-Series Products

Product

NVIDIA Tesla T4

GPU Architecture

Turing

Tesla V-Series Products

Product

NVIDIA Tesla V100

GPU Architecture

Volta

Tesla P-Series Products

Product

NVIDIA Tesla P100

NVIDIA Tesla P40

NVIDIA Tesla P4

GPU Architecture

Pascal

Tesla K-Series Products

Product

NVIDIA Tesla K520

NVIDIA Tesla K80

NVIDIA Tesla K40 (m/c/s/st/t)

NVIDIA Tesla K20 (x/c/m/Xm/x)

NVIDIA Tesla K10

NVIDIA Tesla K8

GPU Architecture

Kepler

Tesla Driver version 412.36(Windows)RN-08625-412.36 _v01 | 5

Hardware and Software Support

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

Tesla Driver version 412.36(Windows)RN-08625-412.36 _v01 | 6

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