U.S. AI chip export restrictions have barred Nvidia from the $50 billion Chinese market, resulting in a $4.5 billion inventory write-off.
Nvidia is expanding its AI infrastructure projects globally, including initiatives in Saudi Arabia, UAE, Taiwan, and the U.S. to meet increasing demand.
The company reported $44.06 billion in Q1 revenue, a 69% year-over-year increase, with data center revenue rising 73% to $39.1 billion.
CEO Jensen Huang emphasized the rising demand for AI inference workloads and the significant growth in enterprise AI, robotics, and manufacturing applications.
Nvidia aims to bolster its U.S. manufacturing capabilities while exploring a wide range of AI products across multiple sectors, positioning itself for a dominant role in the evolving AI industry.
NVIDIA and Microsoft announced updates to enhance AI capabilities on Windows RTX PCs and Azure cloud services, focusing on making AI development more accessible.
New tools include support for TensorRT by Windows ML and NIM microservices, which are optimized AI models for common applications.
Project G-Assist is expanding with new community plug-ins, including integrations with Google Gemini, Spotify, and Twitch, facilitating easier AI development.
Windows ML enhances performance for AI applications, achieving over 50% faster results compared to DirectML while automating hardware selection for developers.
NVIDIA is releasing new NIM microservices for fast image generation and integrating advanced microservices in Azure to improve workflows in materials science and drug discovery.