Exclusive: Callosum, a startup looking to break Nvidia's stranglehold on AI workloads, raises $10.25 million in new funding | Fortune
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Exclusive: Callosum, a startup looking to break Nvidia's stranglehold on AI workloads, raises $10.25 million in new funding | Fortune
"Callosum cofounders Danyal Akarca and Jascha Achterberg, who met during their PhDs at Cambridge around 2019, have software that can distribute AI tasks across chips from different manufacturers-be it Nvidia GPUs, AMD processors, Amazon Web Services' custom Trainium and Inferentia silicon, or newer designs from startups like Cerebras and SambaNova-extracting performance advantages from each."
"The company's thesis is rooted in the cofounders' academic research at the intersection of neuroscience and computing: the human brain doesn't achieve intelligence by copying one type of neuron billions of times, but by combining many different specialized cell types and circuits that work together. They believe AI computing should follow the same principle."
"The company also announced it is receiving research funding from the U.K. government which is looking for ways to build so-called 'sovereign cloud' infrastructure for AI that would be independent, or at least not solely reliant, on U.S. technology providers."
Callosum, a London-based startup founded by Cambridge neuroscientists Danyal Akarca and Jascha Achterberg, secured $10.25 million in funding to develop software orchestrating AI workloads across diverse chip architectures. The platform distributes tasks across Nvidia GPUs, AMD processors, AWS custom silicon, and chips from Cerebras and SambaNova, optimizing performance from each manufacturer. The funding round was led by Plural, with participation from notable angels including Charlie Songhurst and Stan Boland. The UK government's ARIA agency also provided research grants to accelerate integration of novel chip technologies. The company's approach stems from neuroscience principles, applying how the brain combines specialized cell types to AI computing architecture, challenging the industry's reliance on identical GPU banks.
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