Startup Gimlet Labs is solving the AI inference bottleneck in a surprisingly elegant way
What Happened
Gimlet Labs just raised an $80 million Series A for tech that lets AI run across NVIDIA, AMD, Intel, ARM, Cerebras and d-Matrix chips, simultaneously.
Our Take
Look, most AI startups scale someone else's models. Gimlet's different—they're saying "run simultaneously across NVIDIA, AMD, Intel, ARM, Cerebras, d-Matrix." $80M Series A for that? Worth it because it breaks NVIDIA's chokehold.
The hard part: actually optimizing models to run well across different architectures, not just load balancing. If they crack it, they've got a defensible moat. (Spoiler: they'll get acquired by a cloud provider in three years.)
The real test is whether they ship something meaningfully cheaper than NVIDIA-only inference. That's when this matters.
What To Do
Monitor whether Gimlet ships inference that's 30%+ cheaper than NVIDIA-only setups within 18 months.
Cited By
React
