Parasail
Sign in Contact sales
Trillions of Tokens served dailyDay 0 support for frontier LLMs30× cheaper than legacy cloudsTrillions of Tokens served dailyDay 0 support for frontier LLMs30× cheaper than legacy cloudsTrillions of Tokens served dailyDay 0 support for frontier LLMs30× cheaper than legacy cloudsTrillions of Tokens served dailyDay 0 support for frontier LLMs30× cheaper than legacy cloudsTrillions of Tokens served dailyDay 0 support for frontier LLMs30× cheaper than legacy cloudsTrillions of Tokens served dailyDay 0 support for frontier LLMs30× cheaper than legacy clouds

From the team Parasail blog

Product updates, engineering deep dives, and thought leadership from the Parasail team.

Guides

Closed vs. open-weight models: When to migrate

Parasail October 6, 2026
Guides

How to increase LLM inference throughput without breaking your latency budget

October 5, 2026
Engineering

Reduce coding-agent costs with OpenCode and Parasail

October 2, 2026
Guides

How to reduce LLM latency in production: Diagnose before you tune

September 30, 2026
Blog

Latest articles

All EngineeringGuidesProduct

Closed vs. open-weight models: When to migrate

Not every call to a closed API needs a frontier model. This guide covers when to move routine work to open-weight models, based on your costs, your task mix, and the control you need over the model.

How to increase LLM inference throughput without breaking your latency budget

Learn how to measure goodput, tune batching and KV cache in vLLM, and decide when another GPU will help, all without breaking your latency SLOs.

Reduce coding-agent costs with OpenCode and Parasail

Connect OpenCode to an open model on Parasail and run it against your frontier default on a real bug. Here's what the fixes cost and what it took to get one you'd ship.

How to reduce LLM latency in production: Diagnose before you tune

Diagnose LLM latency before you tune it. Split TTFT, TPOT and end-to-end latency, map them to eight stages, and find which one owns your slowdown.

10 best open-weight AI inference providers for startups

How to pick an open-weight inference provider before you can forecast your traffic: criteria to test, and how 10 providers compare on billing, commitments and risk.

How Reflow AI lowered inference costs for document ingestion and OCR by 70% with Parasail

Reflow AI moved document ingestion and OCR to Parasail's Elastic Endpoints, eliminating idle GPU cost and cutting inference spend by 70%.

Kimi K3 vs. GPT-5.6 Sol: Performance, cost, and tradeoffs

Compare Kimi K3 and GPT-5.6 Sol on performance, pricing, context, weights, architecture, and deployment tradeoffs.

How Parasail built one AI agent for inference operations

The hard part wasn’t putting an AI agent in Slack. It was embedding trusted sources, reviewed calculations, and safe inference-operations workflows.

Building sub-second LLM inference for global AI traffic

A fast model isn’t a fast API. We worked backward from a 600ms p99 budget with Cloudflare Workers at the edge and WireGuard to the GPU.

Start building today

Instantly run any open model — popular or specialized.

Talk to an engineer Sign in