Parasail Raises $32 Million to Expand AI Inference Cloud Service

Apr 16, 2026
Parasail has raised $32 million in Series A funding to scale its cloud computing platform for AI inference, focusing on cost-efficient token processing across a global network of data centers.

Parasail has secured $32 million in Series A funding to grow its cloud computing platform for AI inference, reports TechCrunch. The company provides on-demand compute for running generative AI models, processing around 500 billion tokens per day.

Founded by Mike Henry, a former Groq executive, Parasail operates across 40 data centers in 15 countries. The company rents and manages GPU capacity through a global network and liquidity markets to reduce the cost of inference workloads. Its service focuses exclusively on inference rather than model training.

The funding round was co-led by Touring Capital and Kindred Ventures. Parasail’s approach targets startups and developers running open-source or hybrid AI models, offering flexible access without long-term commitments. The company’s infrastructure is designed to balance workloads dynamically and maintain low prices by avoiding demand peaks.

Investors expect AI inference to become a significant cost driver in software development, with Parasail aiming to provide an alternative to larger cloud providers and specialized inference competitors.

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Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

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