SAN FRANCISCO, March 23, 2026 (GLOBE NEWSWIRE) -- Gimlet Labs, the Applied AI research and product company, today announced that it has seen record demand for its agent inference cloud since the company emerged from stealth five months ago with eight-figure revenues. Gimlet Labs has tripled its customer base and added one of the top three frontier labs as well as one of the top three hyperscalers as customers. In addition, Gimlet Labs is working with leading AI chip companies, including NVIDIA, AMD, Intel, ARM, Cerebras and d-Matrix. 

"We've entered a fundamentally new era of computing where the speed of intelligence has become the critical bottleneck. In order to unlock the next 10-100X performance increases needed in use cases like coding agents, we've identified how to leverage heterogeneous hardware for faster, more efficient inference. At Gimlet, we're seeing this approach deliver an order of magnitude better performance per watt for our customers which is critical for anyone operating at scale given today's datacenter capacity bottlenecks," said Zain Asgar, co-founder and CEO of Gimlet Labs.

The explosion of agentic workloads has exposed a critical flaw in today's AI infrastructure: homogeneous hardware has hit a wall in latency and power efficiency. With inference now reaching quadrillions of tokens per month, and still growing, the one-size-fits-all approach leaves massive inefficiencies in performance and utilization, even as the ...