AI Accelerator

Creator

Creator

Created

Created

2022 Aug 10 14:46

Editor

Editor

Edited

Edited

2025 May 22 23:32

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Refs

FP8/LogFMT native quantization and high-precision accumulation register support is needed. Adaptive Routing, Virtual Output Queuing (VOQ), and end-to-end lossless load control are required. Hardware error detection beyond ECC (Error-Correcting Code), Hardware-level acquire/release consistency and ordering guarantees improve memory-semantic communication by removing fence overhead.

AI Accelerator Companies

AI Accelerators

NVIDIA Server GPU

Geekbench AI

New Geekbench AI benchmark can test the performance of CPUs, GPUs, and NPUs

Performance test comes out of beta as NPUs become standard equipment in PCs.

New Geekbench AI benchmark can test the performance of CPUs, GPUs, and NPUs

https://arstechnica.com/gadgets/2024/08/geekbench-ml-becomes-geekbench-ai-a-cross-platform-performance-test-for-npus-and-more/

New Geekbench AI benchmark can test the performance of CPUs, GPUs, and NPUs

How We’ll Reach a 1 Trillion Transistor GPU

Advances in semiconductors are feeding the AI boom

How We’ll Reach a 1 Trillion Transistor GPU

https://spectrum.ieee.org/trillion-transistor-gpu

How We’ll Reach a 1 Trillion Transistor GPU

Chip is core part

Nvidia On the Mountaintop

Nvidia has gone from the valley to the mountain-top in less than a year, thanks to ChatGPT and the frenzy it inspired; whether or not there is a cliff depends on developing new kinds of demand that…

Nvidia On the Mountaintop

https://stratechery.com/2023/nvidia-on-the-mountaintop/

Nvidia On the Mountaintop

The Hardware Lottery

How hardware and software determine what research ideas succeed and fail.

https://hardwarelottery.github.io/

The Hardware Lottery

Korean researchers power-shame Nvidia with new neural AI chip — claim 625 times less power draw, 41 times smaller

Claim Samsung-fabbed chip is the first ultra-low power LLM processor.

https://www.tomshardware.com/tech-industry/artificial-intelligence/korean-researchers-power-shame-nvidia-with-new-neural-ai-chip-claim-625-times-less-power-41-times-smaller

Korean researchers power-shame Nvidia with new neural AI chip — claim 625 times less power draw, 41 times smaller

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