Lamb Labs launch: what they're building and where to launch next
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What they're building
Lightning fast chips with hardcoded AI models
Batch
Y Combinator Summer 2026
Industry
B2B
Based
London, England, United Kingdom
Founders
- Niki Kotecha · Founder/CEO
- Thomas Lanning · Founder/CTO
Lamb Labs on the record
What they shipped
- From its YC profile: Lamb Labs is building MPUs (Model Processing Units), custom chips that hardcode LLM weights directly into the chip. Unlike GPUs, which move weights between memory and compute, MPUs keep the model on-chip, targeting up to 20,000+ tok/s and a 63× higher intelligence per watt. (source)
- Its own site describes it as: "Lamb Labs is building MPUs (Model Processing Units). We hardcode the entire model, including its weights, into silicon. The model is the chip. This solves the memory-bandwidth bottleneck GPUs face, targeting 20,000+ tokens per second and 63× higher intelligence per watt." (source)
Who is behind it
- Niki Kotecha, Founder/CEO: Founder at Lamb Labs. AI PhD at Imperial College London + I-X Scholar. MEng/BA in Engineering from University of Cambridge. Alan Turing Institute Global Fellowship and 160+ citations (source)
- Thomas Lanning, Founder/CTO: Founder at Lamb Labs. Masters in Mathematical and Theoretical Physics from Oxford. Top of his class in undergraduate at Edinburgh University. (Re)discovered the Higgs-boson using ML and CERN data. (source)
Timeline
- 2026: founded, per its YC profile. (source)
Other B2B software launches on FoxPlug
Where else to launch Lamb Labs
- Product Hunt ↗
- Indie Hackers Forum ↗Audience: IndieHackers; bootstrapped solo founders sharing revenue and behind-the-scenes
- Hacker News (Show HN) ↗Audience: Hacker News readers; engineers, technical founders, infra-curious people
- Demand Curve ↗Audience: Slack community; tight-knit, pseudo-private peer group
- No Code Founders ↗Audience: Slack community; tight-knit, pseudo-private peer group
- OnlineGeniuses ↗Audience: Slack community; tight-knit, pseudo-private peer group
- Product Makers ↗Audience: Slack community; tight-knit, pseudo-private peer group
- ProductLed ↗Audience: Slack community; tight-knit, pseudo-private peer group
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