Gimlet Labs raises $300M Series B for heterogeneous chip inference cloud

Gimlet's Series B

Gimlet Labs announced a $300M Series B led by a16z, just five months after its Series A. The company runs inference by splitting models across heterogeneous accelerators—GPUs, near-memory compute, dataflow chips, CPUs—and claims 5–10× speedups at the same power. Monthly token generation has grown 6× in 12 months, and power is the bottleneck they're targeting. The post says they've added billions in contracted revenue and gigawatts of datacenter pipeline, but does not disclose valuation, customer names, or exact revenue figures.

Why it matters: A $300M Series B led by a16z, closing just five months after the A round — the funding pace and amount are solid signals. The technical approach comes with concrete numbers (5-10x inference speedup), not empty claims. The ding is that this is pure infrastructure funding with n...