December 9, 2017
The development of artificial intelligence technologies is accelerating at a breakneck speed, and NVIDIA’s latest card will only compound that.
Modern AI research and development is based on machine learning, which usually requires either specialized cards or large arrays of powerful video cards. Either would cost many thousands of dollars, placing this somewhat out of the hands of ordinary people.
However, NVIDIA just released a new version of their specialized AI hardware that is a fraction of the price while offering comparable speeds. This means that anyone sufficiently motivated can now not only work on AI code from their home, but actually develop working AI systems for a reasonable time and cost.
Out of nowhere, NVIDIA has revealed the NVIDIA Titan V today at the 2017 Neural Information Processing Systems conference, with CEO Jen-Hsun Huang flashing out the card on stage. A mere 7 months after Volta was announced with the Tesla V100 accelerator and the GV100 GPU inside it, NVIDIA continues its breakneck pace by releasing the GV100-powered Titan V, available for sale today. Aimed at a decidedly more compute-oriented market than ever before, the 815 mm2 behemoth die that is GV100 is now available to the broader public.
Sure. But can it run Crysis tho?
For the spec sheet we’ve gone ahead and lined it up against NVIDA’s other Pascal cards, and for good reason. While the Titan series of cards may have started life as a prosumer card in 2013, since then NVIDIA’s GPU designs have become increasingly divergent between compute and graphics. And even though the previous Titan Xp was based on the more graphics-focused GP102 GPU, the card itself was primarily (but not solely) pitched as an entry-level compute card, for customers who needed a (relatively) cheap way to do FP32 compute and neural network inferencing in workstations and small clusters.
The Titan V, by extension, sees the Titan lineup finally switch loyalties and start using NVIDIA’s high-end compute-focused GPUs, in this case the Volta architecture based V100. The end result is that rather than being NVIDIA’s top prosumer card, the Titan V is decidedly more focused on compute, particularly due to the combination of the price tag and the unique feature set that comes from using the GV100 GPU. Which isn’t to say that you can’t do graphics on the card – this is still very much a video card, outputs and all – but NVIDIA is first and foremost promoting it as a workstation-level AI compute card, and by extension focusing on the GV100 GPU’s unique tensor cores and the massive neural networking performance advantages they offer over earlier NVIDIA cards.
The AI revolution is coming.
At just $3000, middle class White people can afford to buy this card and start creating some interesting applications. This could be the start of something huge – until now, applications of AI technology has been restricted to companies and other organizations with a profit motive, or organizations with a leftist ideological bent.
Think of the potential. The “make-up remover” app is only the beginning.
Automated trolling systems. Jew facial recognition more accurate than any Nazi. Chatbots that redpill people. An app that outs homos, or detects undercover trannies.
Once high-agency goys get their hands on this tech and start working those neurons, there’s nothing that can’t be done.