NVIDIA Quadro/Tesla/NVS Graphics Driver Download
Driver Information

NVIDIA Quadro/Tesla/NVS Graphics Driver

Date: 03/17/2019 Version: 25.21.14.1969
WHQL Driver: Yes Provider: NVIDIA

Operating Systems:

Windows 7 x64
Windows 8 x64
Windows 8.1 x64

Detailed Description
NVIDIA Quadro/Tesla/NVS Graphics Driver 419.69 64-bit

The driver package provides the installation files for NVIDIA Quadro/Tesla/NVS Graphics Driver 419.69 64-bit.

If you consider updating this driver package by Driver Genius, all you need to do is clicking the Update button beside this driver update. Driver Genius will install the driver automatically, smoothly and silently.

Moreover, constantly scan driver updates by Driver Genius or enable the Scheduled Scan function in Options- Schedule to make sure that will not miss a new release.

NEW FEATURES:

- Added support for CUDA 10.1. For more information on CUDA 10.1, refer to the CUDA Toolkit 10 Release Notes
- Added support for NVIDIA Tesla V100 32GB-H (V100-SXM3-32GB-H).
- Added support for NVIDIA HGX-2 server platform.
- NVML Updates: Added a new API nvmlDeviceGetFanSpeed_v2 to retrieve the intended operating speed of the device's specified fan.
- Added SMBPBI support to read total GPU context and SM utilization on Tesla T4.

FIXED ISSUES:

- Various security issues were addressed, for additional details on the med-high severity issues please review NVIDIA Product Security for more information.
- Fixed an issue where nvidia-persistenced.service was incorrectly configured on POWER systems with Ubuntu 18.04.
- Fixed a performance issue with reading metrics from CUPTI in continuous mode.
- Fixed an issue in NVML where systems with more than 8 Mellanox devices would result in incorrect topology reported by nvidia-smi.
- Added support in NVML for Turing TU104 based products - Tesla T4, Quadro RTX 4000, Quadro RTX 5000.
- Fixed an issue in NVML where systems with more than 8 Mellanox devices would result in incorrect topology reported by nvidia-smi.

KNOWN ISSUES:

- NVML: NVML APIs may report incorrect values for NVLink counters (read/write). This issue will be fixed in a later release of the driver.
- 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.
- Device side enqueue: The current implementation is limited to 64-bit platforms only.
- Device side enqueue: 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. For a given grid dimension, the global_work_size can be determined by CUDA grid size x CUDA block size.
- Device side enqueue: 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.

THIS RELEASE SUPPORTS THE FOLLOWING APIS:

- NVIDIA CUDA 10.1 for NVIDIA Kepler, Maxwell, Pascal, Volta and Turing GPUs
- OpenGL 4.5
- Vulkan 1.1
- DirectX 11
- DirectX 12 (Windows 10)
- Open Computing Language (OpenCL software) 1.2

About Graphics Driver:

While installing the graphics driver allows the system to properly recognize the chipset and the card manufacturer, updating the video driver can bring about various changes.

It can improve the overall graphics experience and performance in either games or various engineering software applications, include support for newly developed technologies, add compatibility with newer GPU chipsets, or resolve different problems that might have been encountered.

Supported Devices
NVIDIA Quadro K4100M
NVIDIA Quadro M1200
NVIDIA Quadro M2200
NVIDIA Quadro M3000 SE
NVIDIA Quadro M5000 SE
NVIDIA Quadro M620
NVIDIA Quadro P1000
NVIDIA Quadro P2000
NVIDIA Quadro P600
NVIDIA Tesla M4
NVIDIA Tesla M40
NVIDIA Tesla M40 24GB
NVIDIA Tesla M6
NVIDIA Tesla M60
NVIDIA Tesla P100-PCIE-12GB
NVIDIA Tesla P100-PCIE-16GB
NVIDIA Tesla P100-SXM2-16GB
NVIDIA Tesla P4
NVIDIA Tesla P40
NVIDIA Tesla P6
NVIDIA Tesla T4
NVIDIA Tesla V100-FHHL-16GB
NVIDIA Tesla V100-PCIE-16GB
NVIDIA Tesla V100-PCIE-16GB-LS
NVIDIA Tesla V100-PCIE-32GB
NVIDIA Tesla V100-SXM2-16GB
NVIDIA Tesla V100-SXM2-16GB-LS
NVIDIA Tesla V100-SXM2-32GB
NVIDIA Tesla V100-SXM2-32GB-LS

 


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