TensorRT-LLM
NVIDIA's inference engine for large language models — compiles a model into an optimised TensorRT runtime with in-flight batching, paged KV caching and FP8/FP4 quantisation, tuned for NVIDIA GPUs and nothing else.
Start with the strongest matches, then expand or search the complete category.
NVIDIA's inference engine for large language models — compiles a model into an optimised TensorRT runtime with in-flight batching, paged KV caching and FP8/FP4 quantisation, tuned for NVIDIA GPUs and nothing else.
High-throughput inference and serving engine for LLMs — PagedAttention, continuous batching, and tensor/pipeline parallelism keep GPUs saturated across concurrent callers, behind an OpenAI-compatible API.
The top alternatives to SGLang include TensorRT-LLM, vLLM. These ai platforms tools offer similar functionality with different pricing, features, and architectural approaches.
Yes, SGLang is open source. You can use it without paying.
Consider your team size, budget, technical requirements, and existing stack. Compare features like scalability, integrations, pricing model, and community support. Our side-by-side comparison pages can help you evaluate specific pairs.
SGLang is a ai platforms tool. It competes with TensorRT-LLM, vLLM in the ai platforms space.