Deploy high-throughput LLM APIs

Serve LLMs with PagedAttention and dynamic batching at scale

Production serving of open models on NVIDIA hardware when high throughput and predictable latency required.

• · model checkpoint
• · batch size
• · tensor parallelism config
• · quantization method

• · OpenAI-compatible API endpoint
• · throughput metrics (tok/s)
• · latency percentiles

• · vLLM framework
• · NVIDIA CUDA GPUs
• · transformers library

NVIDIA GPU required (16GB+ VRAM for 7B models); CUDA 11.8+; sufficient GPU count for parallelism

• · Out-of-memory on large batch
• · Long time-to-first-token (TTFT)
• · Context window exhausted
• · Tensor parallelism overhead

• · PagedAttention innovation (memory efficiency)
• · Dynamic batching for latency
• · Industry standard at scale