This release introduces parallel requests with continuous batching for high throughput serving, all-new non-GUI deployment option, new stateful REST API, and a refreshed user interface.
Awesome - having the API, MCP integrations, refined CLI give you everything you might want. I have some things I'd wanted to try with ChainForge and LMStudio that are now almost trivial.
I have seen ~1,300 tokens/sec of total throughout with Llama 3 8B on a MacBook Pro. So no, you don’t halve the performance. But running batched inference takes more memory, so you have to use shorter contexts than if you weren’t batching.
