Parasail

What Parasail does

Parasail provides an AI infrastructure platform, specifically an inference cloud, for AI-native startups. It offers scalable, on-demand access to powerful computing resources without the need for costly hardware investments or lengthy contracts. The platform aggregates top AI hardware providers across 26 data centers in 15 regions, supporting every current-gen chip class. Parasail allows users to balance speed, quality, and cost for their deployments, with an optimization agent tuning to specific targets. It offers flexible drawdown billing, allowing users to commit to spend rather than specific GPUs, and absorbs spikes in real-time. The platform supports over 2 million open models and custom fine-tunes, with day-0 access to frontier open models. Parasail offers three main ways to run inference: Serverless for on-demand, pay-per-token access to popular open-source models; Dedicated Instances for private GPU endpoints with full control over model, hardware, and scaling; and Batch Processing for high-throughput offline jobs at the lowest per-token rate. The API is fully OpenAI-compatible, allowing existing OpenAI SDKs to be used. Parasail aims to provide a "token economy" where users commit to output, not silicon, on a fluid fleet that flexes with their needs.

Products

• Serverless endpointsOn-demand, pay-per-token inference for popular open-source models. Zero setup, call an endpoint and go. Offers access to 2M+ open models with no minimums and community support.
• Elastic endpointsPrivate, optimized endpoints priced per million tokens. Includes per-workload tuning and dedicated support.
• Dedicated deploymentsReserved GPUs sized to your roadmap, with negotiated SLAs. Offers reserved capacity and GPUs sized to specific needs.
• BatchHigh-throughput offline jobs at the lowest per-token rate, utilizing spare fleet capacity. Great for evaluations and embeddings, processing millions of requests per job.
• Dedicated InstancesPrivate GPU endpoints with full control over model, hardware, and scaling. Ideal for production workloads, predictable latency, or production SLAs.

Key capabilities

• Global fleet on the latest hardware (26 data centers across 15 regions)
• Tuned to targets for quality, speed, and cost
• Optimization agent for deployment tuning
• Lossless by default, with optional lossy speedup
• Flexible drawdown billing (commit to spend, not GPUs)
• Reserve absorbs spikes in real time
• Supports 2M+ open models
• Day-0 access to frontier open models
• Supports custom fine-tunes
• Supports any model on Hugging Face (including custom architectures and sidecar containers)
• Supports specialized models for reranking, OCR, vision, voice, and retrieval
• Dedicated solutions engineer and performance team via shared Slack channel
• Optimized endpoints typically live the same day
• Standard ZDR and SLA agreement
• Pay-per-token model pricing
• OpenAI-compatible API
• Reserved GPU pricing (hourly, billed by the minute)
• Self-service batch pricing with discounts for cached tokens
• No silent quantization
• No capacity that vanishes when needed

Use cases

• Screening scientific papers with LLMs
• Deploying custom models quickly and cost-effectively
• Generating millions of responses for dataset building and research
• Calling popular open-source models with no setup
• Using specific or private models with predictable latency or production SLAs
• Processing large volumes offline where real-time isn't required
• Building chatbots, assistants, and text generation pipelines
• Building retrieval-augmented generation and vector search systems
• Processing large volumes of prompts, images, or text offline
• Building agentic workflows with function calling and multi-step reasoning
• AI coding agents

AI approach

Parasail provides an AI inference cloud platform that aggregates top AI hardware providers to offer scalable, on-demand access to powerful computing resources. It focuses on running open-source models and custom fine-tunes, optimizing deployments for speed, quality, and cost. The platform supports various modalities and offers different deployment options like serverless, dedicated instances, and batch processing, with an emphasis on an OpenAI-compatible API.

Tech named: LLMs, Llama, DeepSeek, Qwen, Kimi, Mistral, Nemotron, Gemma, Skyfall, Cydonia, gpt-oss, UI-TARS, BGE-M3, Resemble TTS, Trinity, MiMo, NVIDIA B300, NVIDIA B200, NVIDIA H200, NVIDIA H100 SXM, NVIDIA RTX PRO 6000, NVIDIA RTX 5090, Hugging Face, OpenAI SDK

What it says sets it apart

• Inference that scales with you
• Global fleet on the latest hardware across 26 data centers and 15 regions
• Tuned to your targets for quality, speed, and cost with an optimization agent
• Flexible drawdown billing: commit to spend, not GPUs
• Reserve absorbs spikes in real time, no payment for idle GPUs
• One API for any model, supporting 2M+ open models and custom fine-tunes
• Day-0 access to frontier open models
• Supports specialized models for various modalities on the same platform
• Dedicated solutions engineer and performance team with quick response times
• Optimized endpoints live typically the same day, minimal legal overhead
• OpenAI-compatible API
• Offers a "token economy" instead of a hardware economy
• No silent quantization, transparent capacity
• Co-founders with experience building chips, compilers, and inference platforms

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.