NVIDIA Unveils Tesla V100 AI Accelerator Powered By 5120 CUDA Core Volta GPU (hothardware.com)

MojoKid writes: NVIDIA CEO Jen-Hsun Huang just offered the first public unveiling of a product based on the company's next generation GPU architecture, codenamed Volta. NVIDIA just announced its new Tesla V100 accelerator that's designed for AI and machine learning applications, and at the heart of the Tesla V100 is NVIDIA's Volta GV100 GPU. The chip features a 21.1 billion transistors on a die that measures 815mm2 (compared to 12 billion transistors and 610mm2 respectively for the previous gen Pascal GP100). The GV100 is built on a 12nm FinFET manufacturing process by TSMC. It is comprised of 5,120 CUDA cores with a boost clock of 1455MHz, compared to 3585 CUDA cores for the GeForce GTX 1080 Ti and previous gen Tesla P100 AI accelerator, for example. The new Volta GPU delivers 15 TFLOPS FP32 compute performance and 7.5 TFLOPS of FP64 compute performance. Also on board is 16MB of cache and 16GB of second generation High Bandwidth (HBM2) memory with 900GB/sec of bandwidth via a 4096-bit interface. The GV100 also has dedicated Tensor cores (640 in total) accelerating AI workloads. NVIDIA notes the dedicated Tensor cores also allow for a 12x uplift in deep learning performance compared to Pascal, which relies solely on its CUDA cores. NVIDIA is targeting a Q3 2017 release for the Tesla V100 with Volta, but the timetable for a GeForce derivative family of consumer graphics cards has has not been disclosed.

Comments

Re:Born crippled

[devoid42]

You are actually applying a lot of ill intent here where they are just using a standard business practice among both GPU and CPU companies. The majority of the chips come from the same production line. Chips that fail QA on a certain % of their CUDA cores are "binned down" to consumer level chips. This allow them to recoup costs and provide an adequate supply of pro chips while keeping prices relatively low.

There does come a time though later in their production cycle where the production line begins to be well tuned and provides a high yield of pro level chips that surpasses the demand for those chips, in that case the vendor just sets the core count to what is required and ships to match demand.

No real ill intent here just good business practice, you are paying for what is promised to you, and if you find a way to re-enable the extra hardware so be it. This was done in many quadro/geforce cards in the past.