Ollama vs vLLM vs TGI: Performance comparison on our hardware
Ollama vs vLLM vs TGI performance comparison: benchmark results on our GPU rental hardware for LLM inference workloads.
Ollama, vLLM, and Text Generation Inference (TGI) are common ways to serve LLMs. We ran them on the same hardware to compare throughput and latency.
Summary
Ollama — Easiest to run, good for local dev and small deployments. Throughput is lower than vLLM/TGI for high concurrency.
vLLM — Built for throughput and continuous batching. Best when you have many concurrent requests. API-compatible with OpenAI.
TGI — Hugging Face's inference server. Strong performance and good for Hugging Face model hub workflows.
On our GPU instances you get root—install any of the three and tune for your use case. We can share benchmark numbers for specific model sizes if you're deciding.