Version 410.104(Linux)/412.29(Windows)

This edition of Release Notes describes the Release 410 family of NVIDIA® Tesla® Drivers for Linux and Windows. NVIDIA provides these notes to describe performance improvements, bug fixes and limitations in each documented version of the driver.

1. Version Highlights

This section provides highlights of the NVIDIA Tesla 410 Driver, version 410.104 for Linux and 412.29 for Windows.

1.1. Fixed Issues

  • Various security issues were addressed, for additional details on the med-high severity issues please review NVIDIA Product Security for more information.

  • Add HBM temperatures and SW Thermal slowdown query to nvidia-smi --query-gpu.

  • Additional information has been added to the XID 31 event, to log the fault type (READ or WRITE), virtual address, source, and which client faulted.

  • Fixed a memory allocation issue (resulting in CUDA_ERROR_OUT_OF_MEMORY) in some cases on Windows when running rendering applications.

  • Added support in NVML for TU104 based products.

  • Fixed an issue in NVML where systems with more than 8 Mellanox devices would result in incorrect topology reported by nvidia-smi.

  • Fixed an issue where nvmlDeviceGetNvLinkErrorCounter() would return replay errors instead of recovery errors.

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/xorg.conf 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.

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 http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#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.

Shared virtual memory

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

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.

  • 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 Notes
Citrix XenServer Version 6.0 and later
VMware vSphere (ESX / ESXi) Version 5.1 and later.
Red Hat KVM Red Hat Enterprise Linux 7 with KVM
Microsoft Hyper-V

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 Boards Supported
Turing Tesla: T4
Volta Tesla: V100
Pascal

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

2. Hardware and Software Support

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® 10

    • 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® KeplerTM, MaxwellTM, PascalTM, VoltaTM and TuringTM GPUs

  • OpenGL® 4.5

  • Vulkan® 1.1

  • DirectX 11

  • DirectX 12 (Windows 10)

  • Open Computing Language (OpenCLTM 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 GPU Architecture
NVIDIA Tesla T4 Turing
Tesla V-Series Products
Product GPU Architecture
NVIDIA Tesla V100 Volta
Tesla P-Series Products
Product GPU Architecture
NVIDIA Tesla P100 Pascal
NVIDIA Tesla P40 Pascal
NVIDIA Tesla P4 Pascal
Tesla K-Series Products
Product GPU Architecture
NVIDIA Tesla K520 Kepler
NVIDIA Tesla K80 Kepler
NVIDIA Tesla K40 (m/c/s/st/t) Kepler
NVIDIA Tesla K20 (x/c/m/Xm/x) Kepler
NVIDIA Tesla K10 Kepler
NVIDIA Tesla K8 Kepler
Tesla M-Class Products
Product GPU Architecture
NVIDIA Tesla M60 Maxwell
NVIDIA Tesla M40 24 GB Maxwell
NVIDIA Tesla M40 Maxwell
NVIDIA Tesla M6 Maxwell
NVIDIA Tesla M4 Maxwell

Notices

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