Gimlet Labs, which helps customers divide AI tasks across multiple chip types, raised $300M led by a16z at a $3B valuation, six months after an $80M Series A (Dina Bass/Bloomberg)

Gimlet Labs’ $300 million raise at a $3 billion valuation signals strong market demand for software that can split AI workloads across different chip types, a capability that could materially improve performance, cost efficiency, and infrastructure flexibility for enterprises. For CIOs and technology leaders, this points to a growing strategic shift toward heterogeneous AI infrastructure and away from single-vendor hardware dependence, increasing the importance of workload orchestration, vendor strategy, and operational visibility within IT organizations.