NVIDIA AI Platform

NVIDIA AI Platform

GPU compute & CUDA ecosystem

0 case studies
15 specialists
General Infrastructure

What it's used for

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.

Getting started

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.

No case studies yet

Be the first to share a NVIDIA AI Platform case study and get discovered by clients.

Submit a case study

Thought leaders

AI leaders using NVIDIA AI Platform

Follow for insights, tutorials, and thought leadership

AK

Andrej Karpathy

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.

OpenAIHugging FaceNVIDIA AI Platform
San Francisco Leader
EB

Erik Bernhardsson

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.

ModalNVIDIA AI PlatformHugging Face
New York Leader
JR

Jonathan Ross

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.

GroqNVIDIA AI Platform
Mountain View Leader
LB

Lukas Biewald

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.

Weights & BiasesMLflowNVIDIA AI Platform
San Francisco Leader
RA

Rama Akkiraju

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.

NVIDIA AI PlatformOpenAILangChain
United States Leader
AA

Anima Anandkumar

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.

NVIDIA AI PlatformHugging FaceWeights & Biases
Pasadena Leader
BD

Balaji Dhamodharan

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.

NVIDIA AI PlatformOpenAILangChain
United States Leader
DH

Demis Hassabis

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.

Google GeminiGoogle Vertex AINVIDIA AI Platform
London Leader
JF

Jim Fan

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 AI PlatformOpenAI
San Francisco Leader
BC

Bryan Catanzaro

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.

NVIDIA AI Platform
San Francisco Leader

Related tools in General

Need a NVIDIA AI Platform expert?

Submit a brief and we'll match you with vetted specialists who have proven NVIDIA AI Platform experience.

Submit a brief — it's free