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OpenDAS
vllm_cscc
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7c8566aa
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Commit
7c8566aa
authored
Sep 20, 2024
by
omrishiv
Committed by
GitHub
Sep 20, 2024
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[Doc] neuron documentation update (#8671)
Signed-off-by:
omrishiv
<
327609+omrishiv@users.noreply.github.com
>
parent
b4e4eda9
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docs/source/getting_started/neuron-installation.rst
docs/source/getting_started/neuron-installation.rst
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docs/source/getting_started/neuron-installation.rst
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@@ -3,8 +3,8 @@
Installation with Neuron
========================
vLLM 0.3.3 onwards supports model inferencing and serving on AWS Trainium/Inferentia with Neuron SDK.
At the moment
Paged Attention
is not supported in Neuron SDK, but naive continuous batching is supported in transformers-neur
on
x
.
vLLM 0.3.3 onwards supports model inferencing and serving on AWS Trainium/Inferentia with Neuron SDK
with continuous batching
.
Paged Attention
and Chunked Prefill are currently in development and will be available so
on.
Data types currently supported in Neuron SDK are FP16 and BF16.
Requirements
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docs/source/index.rst
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@@ -43,7 +43,7 @@ vLLM is flexible and easy to use with:
* Tensor parallelism and pipeline parallelism support for distributed inference
* Streaming outputs
* OpenAI-compatible API server
* Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS
Neuron
.
* Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS
Trainium and Inferentia Accelerators
.
* Prefix caching support
* Multi-lora support
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