Nvidia

NVIDIA Corporation is a prominent visual computing company that specializes in graphics processing units (GPUs) and Tegra processors. The GPU segment includes products like GeForce for gaming, Quadro for design professionals, Tesla for artificial intelligence applications, and GRID for cloud-based graphics. The Tegra Processor segment focuses on mobile-cloud technologies, serving areas such as home entertainment, AI, and autonomous vehicles with products like DRIVE AGX and Jetson AGX. Founded in 1993 and based in Santa Clara, California, NVIDIA's products are utilized across various markets, including gaming, professional visualization, data centers, and automotive sectors. The company markets its offerings to a diverse customer base, including original equipment manufacturers, system builders, automotive manufacturers, and cloud service providers. Beyond hardware, NVIDIA also supports startups through its accelerator program, helping them develop AI and data science innovations.

Vishal Dhupar

Managing Director Asia South

Dror Goldenberg

Senior Vice President Software Architecture - Networking

Rev Lebaredian

Vice President, Simulation Technology

Sonu Nayyar

Chief Information Officer and Senior Vice President

Ajay Puri

Executive Vice President, Worldwide Field Operations

Daniel Rohrer

Vice President Software Security

Marc Stampfli

Business Director Switzerland

Past deals in Corporate Round

Weights & Biases

Corporate Round in 2022

Weights & Biases, Inc. is a technology company founded in 2017 and based in San Francisco, California, that specializes in developing tools for machine learning practitioners. The company operates an artificial intelligence platform designed to assist users in visualizing and debugging machine learning models. Weights & Biases aims to support organizations in transforming deep learning research projects into deployed software by providing features that allow teams to track their models, visualize model performance, and automate the training and enhancement of these models. Their solutions focus on optimizing datasets and improving the overall quality of machine learning applications.

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