Parasail
AI deployment network: serverless inference over rented GPUs, day-zero model support.
About
Parasail is an AI deployment network that runs model inference in the cloud by orchestrating rented GPUs across about 40 data centers in 15 countries, rather than owning hardware. Developers deploy open-source or custom models to serverless endpoints, dedicated instances, or batch processing, paying largely per token, with claims of costs far below legacy clouds.
Founded by former Groq CPO Mike Henry, the company raised a $32 million Series A in April 2026, bringing total funding to about $42 million. It is built for the agent paradigm: inference-as-code with day-zero support for new model releases, and its customers include AI-native startups running large-scale LLM inference.
What it can do
- Serverless endpoints, dedicated instances, and batch processing
- Day-zero availability for new open-source model releases
- Permutation engine routing workloads to optimal GPUs
- Per-token pricing across 40 data centers in 15 countries
Setup
Sign up at Parasail and deploy a model via the self-service interface or API; no hardware contracts.
Prerequisites
A model to deploy (open-source or custom); a Parasail account.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 123; Trending score 78/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.