Newsroom
Stay up to date with Infinity — press releases, technical deep dives, and media coverage of our work making any AI chip production-ready.
Press Releases
Infinity Hires Meta Superintelligence Labs Chip Veteran and the CUDA Educator Who's Taught Two Million Engineers
Aditya Om, a former senior software engineer at Meta Superintelligence Labs, and Elliot Arledge, whose CUDA and LLM coding courses have taught more than two million people, join Infinity’s engineering team to advance automated AI research and inference optimization.
Read release
Infinity and HP Deliver 2X Performance Gains on NVIDIA's GB300 Grace Blackwell Ultra Desktop Superchip
Infinity and HP doubled concurrent AI workloads and overall token throughput on the tested HP ZGX Fury configuration powered by NVIDIA’s GB300 Grace Blackwell Ultra Desktop Superchip, running NVIDIA Nemotron 3 Super without changing the underlying hardware.
Read release
Infinity's Agentic Tools Get AI Chips Inference-Ready in Days
Infinity announced a new case study showcasing tools for its autonomous research and tool-building agent, Ignition, which generates, tests and optimizes the low-level compute kernels, compilers, profilers, debuggers and SDKs that determine how efficiently a chip runs AI models — developed in a design partnership with d-Matrix for its SRAM-based Corsair accelerator.
Read release
Infinity Raises $15 Million in Seed Funding to Build the Software Layer That Makes Any AI Chip Inference-Ready
Infinity raised $15M in seed funding at a $100M post-money valuation, with significant participation from Touring Capital, along with Principal VC, chip-company executives, and researchers from OpenAI and Anthropic — funding the scale-up of Ignition, its agent that makes any AI chip inference-ready.
Read release
In the News
Business Insider
· October 2, 2026AI is taking over the painstaking work of Silicon Valley's most-coveted engineers
Infinity founder Jeremy Nixon discusses how AI coding agents are changing GPU programming, with engineers shifting toward setting objectives, validating results and overseeing increasingly complex generated code.
The Guardian
· August 8, 2026Google DeepMind enters a new era as co-founder Demis Hassabis shifts AI role
“It’s hugely problematic for Google,” said Jeremy Nixon, a former AI researcher at Google and founder of Infinity Artificial Intelligence Institute, a startup. […] “It’s no longer true to say that if you want to work with the greatest researchers on the planet, you go to Google DeepMind.”
AOL
· August 8, 2026Google DeepMind enters a new era as co-founder Demis Hassabis shifts AI role
Syndicated edition of the Guardian’s report on Google DeepMind’s leadership change, quoting Infinity founder Jeremy Nixon on why Jeff Dean’s departure is “hugely problematic for Google.”
MIT Technology Review
· August 6, 2026The Download: Google’s AI shake-up and Meta’s rogue model
“This could be the first real crisis moment for a company that has been stalwart for a long time.” — Jeremy Nixon, a former Google Brain researcher and the founder of AI infrastructure company Infinity, tells the New York Times that Jeff Dean’s departure jeopardizes Google’s future.
Research & Insights
View all research →
Performant Full-Model Inference on d-Matrix Corsair: 20x Speedup
Infinity and d-Matrix worked hand in hand to optimize the performance of Qwen 3 by 20x tokens / second on a single Corsair card compared with Infinity’s original implementation. Context length is also extended by 16x.
Read deep dive
Infinity × d-Matrix: Partnering to Advance Performant Full-Model Inference
Infinity and d-Matrix have partnered to enable and optimize performant full-model inference on d-Matrix Corsair — bringing Qwen3 from its first tensor-parallel matrix operations to complete, stateful inference on a single Corsair card.
Read announcement
Press Kit
Company boilerplate
Infinity.inc (Infinity Artificial Intelligence Institute) is an early-stage AI infrastructure research company building the software layer that makes any chip competitive for AI inference. Its AI research agent, Ignition, automatically generates, tests and optimizes the low-level compute kernels that determine how efficiently a chip runs AI models, compressing inference software development from years into days.