Gimlet's Cross-Vendor Inference Cloud

Heterogeneous silicon and software orchestration are essential for scaling AI inference as agentic workloads become increasingly complex. Gimlet Labs addresses this by disaggregating inference tasks and routing them to the most efficient hardware, such as GPUs for high-performance compute and SRAM-based accelerators for rapid decoding. This software-defined approach eliminates the need for manual kernel engineering across diverse vendor platforms, allowing companies to optimize for either latency or throughput. By physically connecting heterogeneous racks via high-speed fabric, this infrastructure enables significant shifts in the Pareto frontier, unlocking new user experiences like real-time voice agents. This model provides a scalable, cost-effective solution for frontier labs, sovereign clouds, and AI-native companies, effectively bypassing the limitations of traditional, homogeneous data center architectures while maximizing performance across varied silicon environments.