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2026-02-23 17:08:21 +00:00
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blog/graphcore.md
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@@ -77,4 +77,4 @@ Even without this, there are some possible applications which do work quite well
[^19]: Not data latency, which is [250ns](https://www.graphcore.ai/posts/accelerating-resnet50-training-on-the-ipu-behind-our-mlperf-benchmark). There are separate cables for sync.
[^20]: [Tenstorrent](https://tenstorrent.com/) had it earlier, but it has been bugged for generations: the functional model is [slightly defective](https://github.com/tenstorrent/tt-isa-documentation/blob/main/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md).
[^20]: [Tenstorrent](https://tenstorrent.com/) had it earlier than Nvidia, but it has been bugged for generations: the functional model is [slightly defective](https://github.com/tenstorrent/tt-isa-documentation/blob/main/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md).

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links_cache.json
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@@ -5244,7 +5244,6 @@
"auto": true
},
"https://github.com/tenstorrent/tt-isa-documentation/blob/main/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md": {
"inline": true,
"excerpt": "Contribute to tenstorrent/tt-isa-documentation development by creating an account on GitHub.",
"title": "tt-isa-documentation/WormholeB0/TensixTile/TensixCoprocessor/SFPSTOCHRND_FloatFloat.md at main · tenstorrent/tt-isa-documentation",
"author": "tenstorrent",