NVIDIA's new Tesla V100s: faster GPU clocks and HBM2 memory, same TDP

NVIDIA quietly amps up its Tesla V100s with faster GV100 clocks and HBM2 memory.

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NVIDIA very quietly updated its Tesla range of graphics cards in the last 24 hours, introducing the new Tesla V100s graphics card that packs a faster Volta GPU and quicker HBM2 memory.

NVIDIA's new Tesla V100s: faster GPU clocks and HBM2 memory, same TDP 09

The new Tesla V100s (note the small 's', I guess this means 'SUPER' in the Volta sense) is pretty much just as faster version of the original Tesla V100, with the same GV100 GPU on the 12nm node and the same 5120 CUDA cores -- but it's the clock speed and memory bandwidth that are impressive.

NVIDIA's original Tesla V100 has its GV100 GPU boost clock at up to 1367MHz resulting in 14 TFLOPs of compute performance, while the new Tesla V100s has its GV100 GPU at up to 1601MHz boost clock which results in 16.4 TFLOPs of compute performance.

NVIDIA's new Tesla V100s: faster GPU clocks and HBM2 memory, same TDP 10

The HBM2 memory is also clocked higher, with the original Tesla V100 and its 16GB/32GB of HBM2 at 1760MHz for 900GB/sec memory bandwidth, the new Tesla V100s has its 32GB HBM2 (no 16GB model) clocked at a much faster 2214MHz resulting in a huge 1.1GB/sec (1134GB/sec) of memory bandwidth.

This all arrives with the same 250W TDP as the original Tesla V100, showing that NVIDIA has definitely tweaked a lot under the hood of the Tesla V100s to get those GPU and HBM2 clocks higher, without requiring more power.

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NVIDIA Tesla v100 16GB (TCSV100MPCIE-PB)

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Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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