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Callosum raises $100M for AI workload optimization across mixed hardware

Callosum, a startup based in Cambridge, has secured $100 million in funding to reduce the cost of AI workloads. Their software distributes tasks across various hardware, including chips from NVIDIA, AMD, and Google. The company claims this approach offers significant improvements in accuracy, speed, and cost-efficiency compared to traditional GPU setups. The funding round also received support from the UK government's Sovereign AI Unit. AI

IMPACT This funding could lead to more cost-effective AI infrastructure, potentially accelerating adoption and development.

RANK_REASON Significant funding round for an AI infrastructure company. [lever_c_demoted from significant: ic=1 ai=0.7]

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Callosum raises $100M for AI workload optimization across mixed hardware

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Callosum has raised 100m USD in funding to make AI workloads cheaper using software that distributes tasks across mixed hardware including Nvidia, AMD and Googl

    Callosum has raised 100m USD in funding to make AI workloads cheaper using software that distributes tasks across mixed hardware including Nvidia, AMD and Google chips. The Cambridge startup claims its orchestration delivers twice the accuracy, seven times the speed and a quarter…