Parasail
AI deployment network: serverless, dedicated and batch inference on open models
Overview
Parasail is an AI deployment network that brokers GPU compute to serve open-source models like DeepSeek, Llama and Qwen, or customers' own weights. It offers serverless endpoints, dedicated private instances and large-scale batch processing, with a permutation engine that matches workloads to optimal hardware. It targets developers and teams wanting low-cost, contract-free inference at scale.
ASEAN Perspective
Parasail in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Parasail's pitch is aggressive cost savings by brokering across a large GPU supply pool, with serverless, dedicated and batch options covering most deployment shapes. The $32M Series A and day-zero model availability signal real momentum and engineering depth.
It is a developer-and-infrastructure play, not a consumer chat tool, so non-technical users should look elsewhere. As a relatively young brokerage model, the durability of its pricing advantage and supply reliability are the things to validate before betting production traffic on it.
About this listing
This entry was compiled from publicly available data including Parasail's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Parasail unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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