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NVIDIA paper self-exposed next-generation GPU: single floating point performance increased by 24%

NVIDIA's next generation gpu is still mysterious, a few days ago some netizens found a research paper on NV, which mentioned "GPU-N" seems to be an abbreviation for GPU-Next, speculating that the real body is Hopper.

The parameters mentioned include 134 sets of SM (8576 CUDA), core frequency 1.4GHz, 60MB L2 cache, maximum 233GB HBM2e memory, with 3.5Gbps pin bandwidth or memory speed and 6144bit bit width, the total bandwidth can reach 6.3TB/s.

In terms of performance indicators, the single-precision floating-point is 24.2T and the half-precision is 779T, which is more reference-oriented single-precision than the NVIDIA A100, which is 19.5T of ampere large core. Interestingly, the increase in CUDA size is also proportional, not to mention the 59% increase in L2 and a 135% increase in memory bandwidth.

NVIDIA paper self-exposed next-generation GPU: single floating point performance increased by 24%

However, according to previous statements, Hopper is eventually expected to use an MCM multi-core package, and the dual core corresponds to 268 sets of SM+.

In addition, Hopper will most likely end up in the professional market, and the protagonist of the game market will be 5nm Ada Lovelace. NVIDIA has given a clear roadmap at gtc+ that the next generation of Ampere will appear in 2022 and will wait and see.

NVIDIA paper self-exposed next-generation GPU: single floating point performance increased by 24%

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