Sid Sheth
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- RAISE Summit18 min
Fast, Efficient Inference at Scale with Heterogeneous Hardware | Gimlet Labs x d-Matrix | RAISE 2026
Zain Asgar, Sid Sheth, Sid Shade
Gimlet Labs, founded and led by former NVIDIA and Stanford professor Zain Asghar, has secured nearly $80 million in Series A funding to deploy an industry-first multi-silicon cloud capable of making AI inference workloads ten times more efficient. The platform orchestrates heterogeneous hardware by distributing fine-grained AI components across CPUs, GPUs, and NPUs to optimize memory and compute trade-offs for agentic workloads. Operating a vertically integrated infrastructure to manage complex network and cooling challenges, Gimlet partners with chipmakers like D-Matrix to deliver five-fold capacity increases while redefining data center design away from GPU-only scaling.
- RAISE Summit17 min
Fireside Chat with Sid Sheth, Founder & CEO of d-Matrix | RAISE Summit 2026
D-Matrix, founded in 2019, has transitioned its SRAM-based Corsair accelerator into mass production while partnering with NVIDIA to deploy heterogeneous compute solutions for the inference-focused agentic era. Moving beyond current SRAM limitations, the company is developing a 3D stacked In-Memory Compute architecture scheduled for a 2027 tape-out, which aims to simultaneously optimize latency and throughput for high-interactivity workloads. This strategic trajectory envisions a market where specialized inference accelerators coexist with HBM-based GPUs, handling distinct layers of the AI pipeline from heavy pre-fill computations to memory-intensive decoding.