…He brings full-stack GPU expertise spanning from chip design, CUDA and kernel-level development to server and cloud for model training and inference, translating innovations into real-world impact. Before NVIDIA…
…Large language models (LLMs), vision-language models (VLMs), and speech models enable a fundamentally new interaction paradigm. Rather than relying on command matching, these models support conversational AI with memory and reasoning…
…Learn more AI‑native organizations increasingly face scaling challenges as agentic AI workflows drive context windows to millions of tokens and models scale toward trillions of parameters. These systems rely on agentic…
…A deep learning model that previously took 600 minutes to train now takes only 90. — Felix Goldberg, Chief AI Scientist, Tracxpoint Deepset achieves a 3.9X speedup and 12.8X cost reduction…
…Six New Chips, One AI Supercomputer 기술 블로그 : NVIDIA Vera Rubin POD: Seven Chips, Five Rack-Scale Systems, One AI Supercomputer 기술 블로그 : Announcing NVIDIA Dynamo 1.0: Scaling MultiNode Inference in…
…His current focus is on AI-driven GPU kernels and next-generation programming models for accelerated computing. His experience spans the full AI stack, from GPU kernel optimization to AI product leadership…
…To learn more, see Boost GPU Memory Performance with No Code Changes Using NVIDIA CUDA MPS . Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | Data Center / Cloud | Simulation / Modeling / Design | General…
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