Gimlet Labs is an applied research lab focused on envisioning and building high-performance AI systems. Based in San Francisco, it pursues advances in serverless inference, autonomous kernel generation, and SLA-aware datacenter scheduling to efficiently run AI workloads. The organization works on projects like Gimlet cloud and kforge to optimize AI agents, kernels, and heterogeneous hardware across both on-premises and cloud environments. Research areas include hybrid edge/cloud partitioning, a universal AI compiler, and cost-aware optimization frameworks for AI workloads.
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