Inference EndpointsComing soonToken infrastructure for the agent era
Dedicated inference endpoints with cache-aware routing for long-context workloads, with operating targets we're shaping alongside design partners. We're onboarding partners now, with production launch coming soon.
Built for teams running token-hungry products
Coding agents, agentic services, and model developers serving at scale.
Change one line of code
Anthropic- and OpenAI-compatible APIs: swap the endpoint URL and keep most of your integration intact. No SDK migration, no rewrites.
Cache-aware serving, built for long contexts
For coding agents and multi-turn workloads with long input contexts, cache hit rate drives both cost and latency. VESSL Cloud is built to maximize cache reuse across multi-cluster infrastructure: faster first token, lower cost per token.
Dedicated endpoints, consistent performance
No noisy-neighbor variance from shared infrastructure. Dedicated endpoints keep time-to-first-token and per-token latency steady, on multi-cluster infrastructure built to scale with you from early usage to production-scale traffic.
Transparent token accounting
Cached input, uncached input, and output tokens are metered and billed separately. Cached tokens cost less, and you can see exactly where. Track usage in near-real-time from your dashboard.
From API key to payment, one place
Issue keys, track usage, and pay, all fully self-service in VESSL Cloud. No juggling separate systems to run inference.
Frequently Asked Questions
Can I use it today?
Not yet. Managed Inference is coming soon, and we're onboarding design partners now. If you'd like early access, talk to our team.
How do I run inference today?
You can already run inference on the GPUs you rent: host an LLM with a server like vLLM on a GPU workspace or job. Managed Inference will add managed endpoints and per-token billing on top of that.
Which APIs will it support?
Anthropic- and OpenAI-compatible APIs. You'll point your existing client at a new endpoint URL and keep your code as-is.
Who is it for?
Teams running token-hungry AI products: coding agents, agentic services like support agents and character chatbots, and model developers serving their own models at scale.
Where AI models
get their GPUs.
- Start in minutes
- Scale to multi-node clusters
- Capacity reserved to your timeline
- Dedicated support