5 articles tagged with #accelerated-computing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
An interview with Nvidia CEO Jensen Huang covers his upcoming GTC 2026 keynote presentation and discusses the company's strategic navigation of Chinese markets and regulatory challenges in Washington DC. The conversation also touches on Nvidia's fundamental identity and core business nature in the accelerated computing space.
NVIDIA CEO Jensen Huang opened CES 2026 with a presentation on the company's future blueprint, highlighting the Rubin Platform and AI's expansion across all computing domains. Huang emphasized that accelerated computing and AI have fundamentally reshaped the computing landscape, referencing a $10 trillion market impact.
Researchers introduce cuRegOT, a GPU-accelerated solver that significantly improves the speed of entropic-regularized optimal transport computations through algorithmic optimizations like amortized symbolic analysis and fused kernels. The breakthrough addresses a critical computational bottleneck in machine learning by outperforming existing GPU-based solvers while maintaining theoretical convergence guarantees.
NVIDIA's research organization, a global team of around 400 experts established in 2006, serves as the foundation for the company's landmark innovations in AI, accelerated computing, real-time ray tracing, and data center connectivity. The research division spans multiple fields including computer architecture, generative AI, graphics, and robotics, driving transformative technological developments.
NVIDIA has opened applications for its 25th annual Graduate Fellowship Program, offering $60,000 awards to doctoral students conducting research relevant to NVIDIA technologies. The program provides grants, mentors, and technical support to foster innovation in accelerated computing research.
