GreenThread is a high-density inference engine that keeps execution resident and swaps model state on demand. OpenAI-compatible, enterprise-ready, and built for operators who care about utilisation, latency, and control.
Join the waitlist for early access.
Serve many models concurrently without dedicating hardware
Run an order of magnitude more models on the same hardware — without cold starts.
Predictable model activation in seconds, not tens of seconds. No engine restarts required.
No Python, CUDA, or runtime reinitialisation on model switch. The inference engine stays resident.
Most inference platforms restart the engine when switching models. GreenThread keeps the engine alive and swaps model state instead — so GPUs stay busy and models stay responsive.
By sharing GPUs across many workloads without cold starts. Join the waitlist for early access.
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