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FoundersFounders
2517

Jason Goodison

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Jason Goodison
CEO & Co-Founder of
General Compute (2011)
About

Jason Goodison is the CTO and co-founder of General Compute, the world's first ASIC-native neocloud purpose-built for high-speed AI inference and autonomous agent workloads.

Before founding

Jason studied Computer Science at the University of Waterloo and went on to work as a Software Engineer at Microsoft before becoming a YC-backed founder and building Infisical, a secrets management platform.

Founder Insights

A prolific builder and content creator, Jason runs a YouTube channel sharing founder and engineering insights, and has spoken at the University of Waterloo Computer Science Club on the YC founder experience.

Experience

At General Compute, Jason leads the technical vision of building a serving stack optimized around inference-specific ASICs, targeting 5-7x faster token generation than GPU-based cloud competitors.

Scale & Impact

General Compute launched its production inference cluster globally in May 2026, achieving the fastest independently benchmarked speeds on the MiniMax M2.7 model family and pioneering agent-native cloud onboarding.

2517

Jason Goodison

General Compute
CTO
Logo
Jason Goodison

Company(s)

General Compute

Industry

SaaS

Stage/Funding

Seed • $15M

Company Location

us

Connect

About

Jason Goodison is the CTO and co-founder of General Compute, the world's first ASIC-native neocloud purpose-built for high-speed AI inference and autonomous agent workloads.

Before founding

Jason studied Computer Science at the University of Waterloo and went on to work as a Software Engineer at Microsoft before becoming a YC-backed founder and building Infisical, a secrets management platform.

Founder Insights

A prolific builder and content creator, Jason runs a YouTube channel sharing founder and engineering insights, and has spoken at the University of Waterloo Computer Science Club on the YC founder experience.

Experience

At General Compute, Jason leads the technical vision of building a serving stack optimized around inference-specific ASICs, targeting 5-7x faster token generation than GPU-based cloud competitors.

Scale & Impact

General Compute launched its production inference cluster globally in May 2026, achieving the fastest independently benchmarked speeds on the MiniMax M2.7 model family and pioneering agent-native cloud onboarding.

About

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