Prime Intellect Launches Prime Inference: Serverless and Reserved Serving for Frontier Open Models
Prime Intellect has launched Prime Inference, a serving platform for frontier open-source models. It offers serverless endpoints and reserved capacity on Prime's own GPUs across multiple datacenters. Before public release, it processed nearly a trillion tokens per day internally. That traffic came from RL rollouts, synthetic data generation, evaluations, and long-running coding agents.
What Is Prime Inference?
Prime Inference is the serving layer of Prime Intellect's open training stack. The company already ships post-training tools such as prime-rl, verifiers, and sandboxes. Serving closes that loop: deployed models generate production traces that can feed back into training. Prime reports its GLM-5.3 endpoint ranks among the fastest on OpenRouter. It also cites a near-zero tool-call error rate and 100% uptime since launch.
- Two modes: serverless endpoints for variable demand, reserved capacity for sustained workloads.
- OpenAI compatible: point any OpenAI SDK at
https://api.pinference.ai/api/v1(docs). - Uptime: automatic failover across datacenters routes traffic to healthy deployments.
- Hardware: NVIDIA Blackwell today, with Vera Rubin listed as coming soon.
- Billing: unified billing with team-level usage tracking. Per-model pricing is not yet fully published in the docs.
How the Serving Stack Works
[Content truncated in source — full technical details on the serving stack were not provided in the original excerpt.]
Note: As of 2026, Prime Inference is positioned within a rapidly maturing open-model serving landscape, where OpenAI-compatible APIs and multi-datacenter failover have become baseline expectations for production workloads.
via MarkTechPost