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optimal inference with only 16 inf2 cores and batch size 8 (>80% MFU) #2707

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optimal inference with only 16 inf2 cores and batch size 8 (>80% MFU) #2707

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51670b0
optimal inference with only 16 inf2 cores and batch size 8 (>80% MFU)
Feb 25, 2025
4187fa8
optimal inference with only 16 inf2 cores and batch size 8 (>80% MFU)…
yahavb Feb 25, 2025
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12 changes: 4 additions & 8 deletions deepseek-r1-aws.md
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Original file line number Diff line number Diff line change
Expand Up @@ -191,9 +191,9 @@ model_name = hf_model_id.split("/")[-1].lower()
# Hub Model configuration
hub = {
"HF_MODEL_ID": model_id,
"HF_NUM_CORES": "24",
"HF_NUM_CORES": "16",
"HF_AUTO_CAST_TYPE": "bf16",
"MAX_BATCH_SIZE": "4",
"MAX_BATCH_SIZE": "8",
"MAX_INPUT_TOKENS": "3686",
"MAX_TOTAL_TOKENS": "4096",
}
Expand Down Expand Up @@ -263,17 +263,13 @@ docker run -p 8080:80 \
--device=/dev/neuron5 \
--device=/dev/neuron6 \
--device=/dev/neuron7 \
--device=/dev/neuron8 \
--device=/dev/neuron9 \
--device=/dev/neuron10 \
--device=/dev/neuron11 \
-e HF_BATCH_SIZE=4 \
-e HF_SEQUENCE_LENGTH=4096 \
-e HF_AUTO_CAST_TYPE="bf16" \
-e HF_NUM_CORES=24 \
-e HF_NUM_CORES=16 \
ghcr.io/huggingface/neuronx-tgi:latest \
--model-id deepseek-ai/DeepSeek-R1-Distill-Llama-70B \
--max-batch-size 4 \
--max-batch-size 8 \
--max-total-tokens 4096
```

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