Development & Optimization

NVIDIA cuDSS is a first-generation sparse direct solver library designed to accelerate engineering and scientific computing. cuDSS is increasingly adopted in...

Traditional design and engineering workflows in the manufacturing industry have long been characterized by a sequential, iterative approach that is often...

As AI models extend their capabilities to solve more sophisticated challenges, a new scaling law known as test-time scaling or inference-time scaling is...

Generative AI has revolutionized how people bring ideas to life, and agentic AI represents the next leap forward in this technological evolution. By leveraging...

NVIDIA OptiX is the API for GPU-accelerated ray tracing with CUDA, and is often used to render scenes containing a wide variety of objects and materials. During...

2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to...

Recommendation systems are core to the Internet industry, and efficiently training them is a key issue for various companies. Most recommendation systems are...

A new deep learning model could reduce the need for surgery when diagnosing whether cancer cells are spreading, including to nearby lymph nodes—also known as...

As the demand for high-performance computing (HPC) and AI applications grows, so does the importance of energy efficiency. NVIDIA Principal Developer Technology...

The rapid evolution of AI models has driven the need for more efficient and scalable inferencing solutions. As organizations strive to harness the power of AI,...