AI for AI Infrastructure
AI teams struggle to optimize training and inference infrastructure performance and cost for their specific workloads.
They provide AI Infrastructure Engineers and experimentation-driven optimization to improve GPU kernels and model latency across training and inference stacks.
AI labs and companies running large-scale model training or inference on GPUs that need performance optimization.
Making computers talk to each other (and with humans) to complete work. Prev CS @ Waterloo, Inference @ Modular
Making computers talk. Previously CS & CO @ UWaterloo, Eng @ TextQL.




