Accelerate Medical Imaging AI Operations with Databricks Pixels 2.0 and MONAI
According to the World Health Organization (WHO), 3.6 billion medical imaging tests are performed every year globally to diagnose, monitor, and treat various...
Workloads processing large amounts of data, especially those running on the cloud, will often use an object storage service (S3, Google Cloud Storage, Azure...
Latest Multimodal Addition to Microsoft Phi SLMs Trained on NVIDIA GPUs
Large language models (LLMs) have permeated every industry and changed the potential of technology. However, due to their massive size they are not practical...
NVIDIA cuDSS Advances Solver Technologies for Engineering and Scientific Computing
NVIDIA cuDSS is a first-generation sparse direct solver library designed to accelerate engineering and scientific computing. cuDSS is increasingly adopted in...
AI for Climate, Energy, and Ecosystem Resilience at NVIDIA GTC 2025
From mitigating climate change to improving disaster response and environmental monitoring, AI is reshaping how we tackle critical global challenges....
Bring NVIDIA ACE AI Characters to Games with the New In-Game Inferencing SDK
NVIDIA ACE is a suite of digital human technologies that bring game characters and digital assistants to life with generative AI. ACE on-device models enable...
Understanding the Language of Life's Biomolecules Across Evolution at a New Scale with Evo 2
AI has evolved from an experimental curiosity to a driving force within biological research. The convergence of deep learning algorithms, massive omics...
Spotlight: BRLi and Toulouse INP Develop AI-Based Flood Models Using NVIDIA Modulus
Flooding poses a significant threat to 1.5 billion people, making it the most common cause of major natural disasters. Floods cause up to $25 billion in global...
Using NetworkX, Jaccard Similarity, and cuGraph to Predict Your Next Favorite Movie
As the amount of data available to everyone in the world increases, the ability for a consumer to make informed decisions becomes increasingly difficult....
Get Started with GPU Acceleration for Data Science
In data science, operational efficiency is key to handling increasingly complex and large datasets. GPU acceleration has become essential for modern workflows,...
Render Path-Traced Hair in Real Time with NVIDIA GeForce RTX 50 Series GPUs
Hardware support for ray tracing triangle meshes was introduced as part of NVIDIA RTX in 2018. But ray tracing for hair and fur has remained a compute-intensive...
NVIDIA RTX Mega Geometry Now Available with New Vulkan Samples
Geometric detail in computer graphics has increased exponentially in the past 30 years. To render high quality assets with higher instance counts and greater...
AI Foundation Model Enhances Cancer Diagnosis and Tailors Treatment
A new study and AI model from researchers at Stanford University is streamlining cancer diagnostics, treatment planning, and prognosis prediction. Named MUSK...
Provides support for the NVIDIA Blackwell SM100 architecture. CUTLASS is a collection of CUDA C++ templates and abstractions for implementing high-performance...
Bringing support for NVIDIA Blackwell architecture across data center and GeForce products, NVIDIA cuDNN 9.7 delivers speedups of up to 84% for FP8 Flash...
