#serving

Introduction: The Art of Serving In sports like tennis and volleyball, the serve is more...

What to do after training: keep or merge the adapter, choose between local inference, a vLLM server and a hosted Space, and check that the served mode

Swapping LoRA adapters at request time lets one base model serve several fine-tuned behaviours, instead of hosting a separate full model per task.

By Shakti Tiwari — AI practitioner, systems builder Guide. Not financial advice. Free help at...

Best GPU for vLLM inference serving. Covers PagedAttention, throughput benchmarks, and top GPU picks for production LLM deployment.

The demo worked because the test was one user, one prompt, one response. Then real usage showed up,...

“Why is it so slow even though I have a GPU?” I’d like to share my three-week struggle, which began...

When our team was quoted $14,200/month for an EC2 inf2.24xlarge instance to serve Llama 3.2 70B with...

Serving 1 million LLM requests costs $1,240 with vLLM 0.4.0 on self-managed A100s, but $2,890 with...

Dive into a comprehensive benchmark comparing vLLM, TensorRT-LLM, and SGLang. Understand their archi