#Nvidia drivers for mac os catelena driver#
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#Nvidia drivers for mac os catelena Pc#

And while only NVIDIA knows for sure if they planned this before this weekвЂ™s Mac Pro announcement or they just got lucky, it comes across as a clever move by the company. At a minimum, itвЂ™s a nice gesture to Mac users (whom tend to spend big on hardware), and perhaps, it makes for the start of a grassroots campaign to get an NVIDIA GPU in the next iMac or Mac Pro. But more to the point, given AppleвЂ™s announcement that theyвЂ™re going to eventually fix the Mac ProвЂ™s GPU woes, but not for at least another year, this is a chance for NVIDIA to take a low-risk pot shot at Apple for their dGPU follies.

#Nvidia drivers for mac os catelena Pc#

The fact of the matter is that neither of these groups is very big relative to the much bigger Mac user base вЂ“ who wants to do real professional work on an unsupported video card setup? вЂ“ but they are vocal, and they do need increasingly powerful video cards, like the rest of the PC market. Meanwhile with a bit more hacking, itвЂ™s entirely possible to get macOS running on a custom-built PC, leading to the now long-running Hackintosh space. In the case of the former, while macOS doesnвЂ™t support external GPUs (and isnвЂ™t certified as eGFX complaint by Intel), itвЂ™s possible to use Macs with Thunderbolt eGFX chassis with a bit of OS patching. Within the Mac community there are small but none the less vocal user groups based around both unsupported external GPUs and not-even-Apple-hardware Hackintoshes.

#Nvidia drivers for mac os catelena driver#

Instead itвЂ™s the off-label use that makes this announcement interesting, and indeed gives NVIDIA any reason whatsoever to make a Pascal driver release. So why is NVIDIA releasing a Mac driver to a market that, officially speaking, is essentially dead? ItвЂ™s telling that this is a question NVIDIA doesnвЂ™t even bother to address, simply stating that theyвЂ™re вЂњmaking the new TITAN Xp open to the Mac community with new Pascal driversвЂќ in order to give вЂњMac users access to the immense horsepower delivered by our award-winning Pascal-powered GPUs.вЂќ At best, the official market is the remaining handful of Mac Pro Tower owners. As a result, NVIDIA has been locked out of the Mac video card market entirely for the last couple of years, and consequently makes NVIDIAвЂ™s announcement so surprising. NVIDIA owns the bulk of the discrete video card market, and at the same time, Apple hasnвЂ™t integrated an NVIDIA GPU in some time now the last NVIDIA-equipped Mac was the 2014 MacBook Pro, which included an NVIDIA Kepler GPU. This has meant that as the old, Westmere-based Mac Pro towers have aged into retirement, so has the market for Mac video card upgrades.ДЇor NVIDIA, this is a bit of a double-whammy. Every Mac now uses a customized, integrated video card of some kind, from the soldered-on MacBook Pro up to the custom format cards of the Mac Pro. When Apple released the trash can shaped and highly customized Mac Pro design in 2013 вЂ“ one, coincidentally enough, theyвЂ™ll be walking away from for the next iteration вЂ“ Apple also sealed the fate for end-user video card upgrades on the Macintosh platform. This comes despite the fact that Apple hasnвЂ™t sold a Mac Pro that can officially accept a PCIe video card in almost half a decade.

Buried in their announcement of the NVIDIA Titan Xp, NVIDIA has also made a rather surprising revelation: that they will be releasing macOS drivers for their Pascal architecture GPUs. The speed-up is a result of the parallel architecture of GPUs, which enables NAMD developers to port compute-intensive portions of the application to the GPU using the CUDA Toolkit.Capping off a crazy week for Apple-related GPU news, we have one more important development for the week. Visualize molecules: A molecular simulation called NAMD (nanoscale molecular dynamics) gets a large performance boost with GPUs.

Using the computational power of GPUs, a team at NASA obtained a large performance gain, reducing analysis time from ten minutes to three seconds. Computer models help identify new ways to alleviate congestion and keep airplane traffic moving efficiently. Analyze air traffic flow: The National Airspace System manages the nationwide coordination of air traffic flow.Harvard Engineering, Harvard Medical School and Brigham & Women's Hospital have teamed up to use GPUs to simulate blood flow and identify hidden arterial plaque without invasive imaging techniques or exploratory surgery. Identify hidden plaque in arteries: Heart attacks are the leading cause of death worldwide.

#Nvidia drivers for mac os catelena software#

With millions of CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing with CUDA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). NVIDIA CUDA is a parallel computing platform and programming model invented by NVIDIA.