Infinity, an AI infrastructure startup founded by Jeremy Nixon, secured $15 million in seed funding to build an inference library compatible across all chip architectures. The company reached a $100 million valuation.
The funding round included backing from Touring Capital and other investors. Infinity aims to simplify AI model deployment by creating inference software that works uniformly across different hardware platforms—a technical challenge that currently forces developers to optimize for specific chips.
Jeremy Nixon, who founded the AGI House hacker community, is leading the effort to standardize inference across the fragmented hardware landscape. This approach could reduce engineering overhead for companies deploying AI models at scale.
The inference layer sits between AI models and underlying hardware, translating computational tasks into instructions each processor can execute. Current solutions require separate optimization for GPUs, specialized AI chips, and CPUs, making multi-platform deployment complex.
Infinity's universal approach addresses a growing need as organizations increasingly deploy models across heterogeneous infrastructure. The company joins a crowded space of AI infrastructure startups, but its focus on hardware agnosticism targets a specific pain point in the deployment pipeline.
Micro1, an artificial intelligence startup, is competing with Google to acquire Spirit Aviation Holdings' extensive business records. The contest highlights growing competition for valuable datasets in the AI sector.
Scan.com, an AI-powered platform that matches patient referrals with imaging centers based on availability, price, and specialty, closed a $220M Series C round. The funding comprises $90M in equity and $130M in debt facilities.
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