Nvidia today has released drivers for its PCI-e graphics cards for users running the latest version of macOS High Sierra. The drivers are for Quadro and GeForce Pascal-based models and should bring compatibility for legacy Mac Pro users running High Sierra.

Nvidia says the latest drivers include a handful of bug fixes and performance improvements. They also bring a new CUDA download with version 9.0 of the toolkit.

Native macOS profiling is not supported in this release, only remote debugging to other CUDA enabled targets. Supported Mac platforms: Mac OS X 10.13 Steps to install: Double click.dmg file to mount it and access it in finder. Drag nvvp folder and drop it to any location you want (say mac). Directory Structure: -nvvp. NVIDIA CUDA Installation Guide for Mac OS X. This document is intended for readers familiar with the Mac OS X environment and the compilation of C programs from the command line. You do not need previous experience with CUDA or experience with parallel computation. The Release Notes for the CUDA Toolkit also contain a list of supported. New Release 8.0.63. CUDA driver update to support macOS 10.12 and NVIDIA display driver 367.15.10.35f01; Recommended CUDA version(s): CUDA 8.0; Supported MAC OS X. 10.12.x 10.11.x An alternative method to download the latest CUDA driver is within Mac OS environment. Access the latest driver through System Preferences Other CUDA.

Note:Nvidia cards are not yet working in High Sierra for eGPU setups.

New in Release 378.10.10.10.15.114:

• Graphics driver updated for macOS Sierra 10.13 (17A365)
• Contains performance improvements and bug fixes for a wide range of applications.
• Includes NVIDIA Driver Manager preference pane.
• Includes BETA support for iMac and MacBook Pro systems with NVIDIA graphics

Downloads are available directly from Nvidia’s website:

Have you tried Nvidia’s updated Pascal drivers yet for Mac? Let us know your thoughts and opinions in the comment section below.

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Release Highlights

Easier Application Porting

• Share GPUs across multiple threads
• Use all GPUs in the system concurrently from a single host thread
• No-copy pinning of system memory, a faster alternative to cudaMallocHost()
• C++ new/delete and support for virtual functions
• Support for inline PTX assembly
• Thrust library of templated performance primitives such as sort, reduce, etc.
• NVIDIA Performance Primitives (NPP) library for image/video processing
• Layered Textures for working with same size/format textures at larger sizes and higher performance

Faster Multi-GPU Programming

• Unified Virtual Addressing
• GPUDirect v2.0 support for Peer-to-Peer Communication

New & Improved Developer Tools

• Automated Performance Analysis in Visual Profiler
• C++ debugging in CUDA-GDB for Linux and MacOS
• GPU binary disassembler for Fermi architecture (cuobjdump)
• Parallel Nsight 2.0 now available for Windows developers with new debugging and profiling features.

Mac Os X 10.11 Download Free

Watch the CUDA Toolkit 4.0 Feature and Overview Webinar (or just the slides) for an overview of some of the exciting new features of this release.
Check out the NEW CUDA 4.0 Math Library Performance Review

Find all the latest versions of other Libraries and Tools on our Tools & EcoSystem Page

Nvidia Drivers For Mac Os

Please download the lastest CUDA Toolkit 4.0 Errata Update.

The latest released NVIDIA Drivers are always available at www.nvidia.com/drivers
For previous releases, see the CUDA Toolkit Release Archive
Get yourself fully trained- check out the latest CUDA Webinars
Become a CUDA Registered Developer, report bugs, engage with NVIDIA engineering
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