GPU compute & CUDA ecosystem
Training and running AI models on NVIDIA GPUs using the CUDA toolkit, cuDNN, and TensorRT for optimized inference. Most deep learning frameworks (PyTorch, TensorFlow) depend on NVIDIA's CUDA stack, and NGC provides pre-built containers and pretrained models for faster development.
Install the NVIDIA GPU driver for your hardware, then install CUDA Toolkit and cuDNN from developer.nvidia.com. For cloud access, use NGC (NVIDIA GPU Cloud) containers which bundle everything pre-configured, or provision GPU instances through cloud partners like AWS, GCP, or CoreWeave.
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Eureka Labs
Founding member of OpenAI and former Director of AI at Tesla where he led the Autopilot computer vision team. PhD from Stanford under Fei-Fei Li. Created Stanford's CS 231n course which grew from 150 to 750 students. Founded Eureka Labs for AI education. Released nanoGPT and nanochat as open-source educational tools. One of the most influential AI educators, with his Neural Networks: Zero to Hero series widely considered the gold standard.
Modal Labs
Founder of Modal Labs, the high-performance serverless cloud for developers that reached unicorn status ($1.1B valuation) in September 2025. Previously spent 7 years at Spotify where he built the music recommendation system and created Luigi, the popular workflow scheduler. Also built Annoy, one of the first open-source vector databases based on ANN search.
Groq
CEO and founder of Groq, creator of the LPU (Language Processing Unit) that delivers up to 18x faster inference than traditional GPUs. Creator of Google's TPU (Tensor Processing Unit). A high school dropout who became one of the most influential figures in AI hardware. Groq's technology was valued at ~$20B in Nvidia's December 2025 licensing deal.
Weights & Biases / CoreWeave
CEO and co-founder of Weights & Biases, the MLOps platform used by organizations like OpenAI, Salesforce, and Microsoft. Co-founded W&B with Chris Van Pelt and Shawn Lewis in 2017. What began with experiment tracking at OpenAI grew into an end-to-end MLOps platform used by millions. W&B was acquired by CoreWeave in March 2025 for $1.7B.
NVIDIA
VP of AI/ML for IT at NVIDIA, leading enterprise agentic AI initiatives and adaptive systems. Deep expertise in building and deploying AI platforms at scale within one of the world's most important AI companies.
Caltech
Bren Professor at Caltech specializing in neural operators, scientific AI, tensor methods, and deep learning. One of the most cited AI researchers working at the intersection of AI and scientific computing.
AMD
Global Software Analytics Leader at AMD, working on agent architecture, LLM coordination, and digital transformation. Deep expertise in how AI hardware and software work together for enterprise-scale agent deployments.
Google DeepMind
CEO and co-founder of Google DeepMind, the world's leading AI research lab. Led breakthroughs including AlphaGo (defeating world Go champion), AlphaFold (solving protein folding), and pioneering AGI research. Nobel Prize-winning contributions to computational biology.
NVIDIA
Senior Research Scientist at NVIDIA leading the AI Agents initiative. Creator of Voyager (first LLM-powered agent in Minecraft) and contributor to Project GR00T for humanoid robots. One of AI's most influential voices on social media with deep expertise in foundation models and embodied AI.
NVIDIA
VP of Applied Deep Learning Research at NVIDIA. Leads teams building NVIDIA's AI products including NeMo framework. Early pioneer in GPU-accelerated deep learning.
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