Cam Quilici

Cam Quilici, an AI/ML systems practitioner focused on inference performance and benchmarking. He discusses InferenceX’s evolution from its predecessor and the move to multi-node DeepSeq. Conversation covers major hardware wins, nightly large-scale benchmarking, software tuning complexities, multi-token prediction benefits, cost/TCO modeling, and roadmaps for TPU, multimodal, and multi-turn benchmarks.