TransformerEngine
liberate-fhe
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| TransformerEngine | liberate-fhe | |
|---|---|---|
| 2 | 1 | |
| 1,428 | 93 | |
| 13.1% | - | |
| 9.5 | 8.0 | |
| 4 days ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause Clear License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TransformerEngine
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Benchmarking Large Language Models on NVIDIA H100 GPUs with CoreWeave (Part 1)
4090 now has its 8-bit float enabled as well, see the [transformer engine issue](https://github.com/NVIDIA/TransformerEngine/issues/15)
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GPUs for Deep Learning in 2023 – An In-depth Analysis
Would be curious to see your benchmarks. Btw, Nvidia will be providing support for fp8 in a future release of CUDA - https://github.com/NVIDIA/TransformerEngine/issues/15
I think TMA may not matter as much for consumer cards given the disproportionate amount of fp32 / int32 compute that they have.
Would be interesting to see how close to theoretical folks are able to get once CUDA support comes through.
liberate-fhe
What are some alternatives?
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