Blood, Software and 120 Billion Transistors: How NVIDIA Built DGX-1

Duct tape. Plexiglass. Plastic ties. Ear plugs. Band-Aids. If you’re building something for the first time — whether it’s a spaceship or a sports car — this is where you start. And if you look through the expense reports of the engineering teams that put together our NVIDIA DGX-1 deep learning system, that’s what you’ll find. The result: an immaculate $129,000 jewel box compact enough to slide into a display case at Tiffany’s. Yet it delivers up to 170 teraflops of computing power. That’s equal to 250 x86 servers — performance one news outlet described as “insane.” The finished product. Introduced at our GPU Technology Conference in April, the DGX-1 is loaded with deep learning software that spits out results with super-human capabilities. It’s all wired into cloud-based services for…


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