When did graphics drivers get so massive? Take the latest ones from NVIDIA, 416.34, which hover around 500MB. That's half a gig! While there's not much you can do about the download size, it is possible to slim down the installation itself, leaving you with only the core, necessary files on your system.
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It feels like these days everyone is out to scam you, even social media giants want some of the action. But what about the hardware inside your PC? You might think it's hard to fake a CPU or graphics card, but it is possible and it does happen.
Earlier this year, Nvidia unveiled a showcase of real-time ray-tracing using Phasma and some Stormtroopers from the Star Wars franchise. At their conference in Gamescom this year, they showcased the same ray-tracing demo - but instead of running off four Volta-powered GPUs, it was powered by a single Turing-powered GPU.
Most of the time, you want your graphics chip running at maximum capacity so game performance is high. But when your GPU is idle? There's no need for it to run hot and consume loads of power. In the case of NVIDIA hardware, this is handled automatically by drivers, but there are settings that can alter this behaviour.
Announced at GTC 2017, the Tesla V100 is an enterprise-level processor powered by the Volta GV100 GPU: the first chip in the world built with a 12nm FFN process. A single Volta GV100 packs in 21 billion transistors, 5120 CUDA cores, 320 texture units and a 4096-bit HBM2 memory interface with a boost clock speed of 1455MHz. It's equipped with 640 Tensor Cores capable of providing 120 teraflops of tensor operations.
Whether you like it or not, autonomous cars are coming - and Nvidia just made it a lot easier for manufacturers to jump on the self-driving bandwagon. The company's Deep Learning Institute (DLI) is offering advanced hands-on courses to aid in the development of autonomous vehicles. Provided it has enough expertise and money, any company can now build one. Ulp.
For the past five years, Nvidia has been building itself a shiny new headquarters in the heart of Silicon Valley. When it is completed at the end of this year, the 500,000 square feet structure will house up to 5000 employees across two floors. The site has been specifically designed to encourage collaboration with large congregational areas, open plan offices and staircases to enable chance encounters.
During GTC 2017, we were given a sneak peak inside the building which remains a work in progress. Here are the photos.
The Nvidia Deep Learning Institute (DLI) has dramatically expanded its course offerings with the aim of up-skilling 100,000 developers in deep learning by 2018. The initiative will include instructor-led workshops and on-demand access to online courses - with prices ranging from free to $30. In other words, you can now get trained up in AI applications for next to nothing. Here are the details.
In front of thousands, the pitch sounded good. Bring PC gaming to the hundreds of millions who can't, or haven't experienced it before. It's a sensible, reasonable goal for a publicly listed company like NVIDIA to aim at. And the idea of putting a gaming PC in the cloud has a certain logic to it.
Problem is, we've been here before. It didn't work. And even if the streaming technology was sound, it still wouldn't work for Australians.
It came to light this week that NVIDIA has started sending information about your machine back to HQ via its graphics drivers. While this is kind-of true, it's not the full story, as Steve Burke of Gamers Nexus recently discovered.
Remember how there was a huge uproar when it was revealed that Windows 10 had telemetry services that automatically sent information back to Microsoft on how users were interacting with the operating system? It seems that graphics card maker NVIDIA has now added telemetry into its latest drivers. If you don't want to be tracked by NVIDIA, here's a way to disable it.
It's always easier to replace a video card than it is a CPU and motherboard, so it's not surprising to find people with a GTX 1060 or RX 480 surrounded by comparatively ancient components. These setups are sacrificing some performance by bottle-necking their GPU, sure, but exactly how much is going to waste?