Parasail
by Parasail
The inference supercloud that puts developers in control of their AI — up to 30x cheaper
Parasail is a managed AI inference cloud that gives developers production-ready endpoints for open-source and custom LLMs in minutes, on pay-per-token economics without long-term GPU contracts. It is built for AI-native startups and enterprises that need cost-efficient, scalable inference across serverless, dedicated and batch workloads.
At a Glance
- Category
- Infrastructure & Cloud
- Pricing
- Usage-based
- Target Market
- AI/ML Engineers, Enterprise Developers, CTOs, AI-native Startups
- Founded
- 2025
- Headquarters
- San Francisco, California, USA
- Customers
- Customers include Elicit, Mem0, Venice and Rasa
Key Features
- ✓Pay-per-token inference
Usage-based billing without long-term GPU contracts, up to 30x cheaper than legacy clouds.
- ✓Flexible deployment
Serverless, dedicated serverless, dedicated GPUs and batch processing to match performance, control and cost needs.
- ✓Global GPU aggregation
Orchestrates GPU capacity across dozens of data centers in 15 regions with current-generation hardware.
- ✓Day-zero frontier model support
Immediate access to new open-source and frontier LLMs as they release.
- ✓Custom model and fine-tune hosting
Runs custom fine-tunes and specialized OCR, vision, voice and retrieval models with an optimization agent for quality-speed-cost tuning.
Capabilities
Use Cases
- •Production LLM serving
Serve high-volume LLM traffic with automatic routing to meet latency and concurrency targets.
- •Cost-optimized inference
Cut inference spend versus legacy clouds using pay-per-token economics and GPU aggregation.
- •Batch and agent workloads
Run large-scale batch inference and agent inference jobs cost-effectively.
Ideal For
Best For
- ✓Cost-efficient production LLM inference at scale
- ✓Deploying custom and open-source models as fast endpoints
- ✓Batch and high-throughput agent inference workloads
Integrations
Market & Ratings
Customers include Elicit, Mem0, Venice and Rasa
Market Analysis
Pros
- ✓Strong cost advantage for inference
- ✓Fast time-to-endpoint with minimal code
- ✓Broad open-source and custom model support
Cons
- ✗Cost claims are vendor-reported
- ✗Cloud-only with no on-prem option
- ✗Younger platform than incumbent inference clouds
Pricing
Pay-as-you-go
Usage-based
- ✓Pay-per-token inference
- ✓Serverless endpoints
- ✓No long-term contracts
Dedicated / Enterprise
Contact for pricing
- ✓Dedicated GPUs
- ✓Solutions engineering
- ✓Shared support channel
Pay-per-token billing based on spending commitments rather than GPU allocation; Parasail claims up to 30x lower cost than legacy clouds for inference.
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