Point at the checkpoint.
Bring an open weight or a LoRA. Name the GPU class.
Open-model inference
Cut the die. Keep the tokens.
Dielet agents profile your real traffic, search kernels and decode layouts, and ship a serving stack that measured faster with identical outputs. Serverless and dedicated endpoints.
Method
How Dielet ships
Let the mill run.
Dielet searches the serving stack overnight against recorded traffic.
Cut over.
Swap the base URL. Tokens keep their shape. Latency drops.
Stack
Product pillars
Profile
Agents sit on your GPUs and flag the true bottleneck: kernel, batch, decode, or HBM.
Search
Candidates include fused kernels, FP8 passes, and new shard maps. Each is measured.
Verify
A candidate ships only if outputs match and the clock is lower on your mix.
Serve
OpenAI-compatible endpoints. Dedicated capacity in under a day.
Start
A die on the rack this week.
Write ceo@dielet.website. You get a test token, a hosted Turbo endpoint, and a 30-minute walkthrough on the model you want to serve.
See pricing