AIHacker Newsabout 4 hours ago
The efficient frontier of LLM inference
1 min read
LLM inference engineers manage tradeoffs along a latency-throughput frontier or push the frontier out for more efficiency. Batch sizing, Tensor Parallelism, Expert Parallelism, and Attention Data Parallelism move deployments along the frontier. Quantization, CUDA kernel improvements, speculative decoding, and P/D disaggregation push the entire frontier out.
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