NVIDIA CUDA-Q Runs Breakthrough Logical Qubit Application on Infleqtion QPU
Infleqtion, a world leader in neutral atom quantum computing, used the NVIDIA CUDA-Q platform to first simulate, and then orchestrate the first-ever...
Spotlight: Perplexity AI Serves 400 Million Search Queries a Month Using NVIDIA Inference Stack
The demand for AI-enabled services continues to grow rapidly, placing increasing pressure on IT and infrastructure teams. These teams are tasked with...
Accelerated Quantum Supercomputing with the NVIDIA CUDA-Q and Amazon Braket Integration
As quantum computers scale, tasks such as controlling quantum hardware and performing quantum error correction become increasingly complex. Overcoming these...
Best Practices for Multi-GPU Data Analysis Using RAPIDS with Dask
As we move towards a more dense computing infrastructure, with more compute, more GPUs, accelerated networking, and so forth—multi-gpu training and analysis...
Accelerating Google’s QPU Development with New Quantum Dynamics Capabilities
Quantum dynamics describes how complex quantum systems evolve in time and interact with their surroundings. Simulating quantum dynamics is extremely difficult...
Introducing NVIDIA CUDA-QX Libraries for Accelerated Quantum Supercomputing
Accelerated quantum supercomputing combines the benefits of AI supercomputing with quantum processing units (QPUs) to develop solutions to some of the world’s...
NVIDIA Partners Accelerate Quantum Breakthroughs with AI Supercomputing
NVIDIA’s vision of accelerated quantum supercomputers integrates quantum hardware and AI supercomputing to turn today’s quantum processors into tomorrow’s...
Fusing Epilog Operations with Matrix Multiplication Using nvmath-python
nvmath-python (Beta) is an open-source Python library, providing Python programmers with access to high-performance mathematical operations from NVIDIA CUDA-X...
Effortlessly Scale NumPy from Laptops to Supercomputers with NVIDIA cuPyNumeric
Python is the most common programming language for data science, machine learning, and numerical computing. It continues to grow in popularity among scientists...
Boost Alphafold2 Protein Structure Prediction with GPU-Accelerated MMseqs2
The ability to compare the sequences of multiple related proteins is a foundational task for many life science researchers. This is often done in the form of a...
AI That ‘Hears’ Heart Disease May Help Vets Diagnose Dogs
A new machine-learning algorithm that listens to digital heartbeat data could help veterinarians diagnose murmurs and early-stage heart disease in dogs....
Leverage AI Coding Assistants to Develop Quantum Applications at Scale with NVIDIA CUDA-Q
AI coding assistants have become ubiquitous across the software development landscape. Developers are increasingly using tools like GitHub Copilot, Amazon...
Bridging the CUDA C++ Ecosystem and Python Developers with Numbast
By enabling CUDA kernels to be written in Python similar to how they can be implemented within C++, Numba bridges the gap between the Python ecosystem and the...
Accelerating Quantum Algorithms for Solar Energy Prediction with NVIDIA CUDA-Q and NVIDIA cuDNN
Improving sources of sustainable energy is a worldwide problem with environmental and economic security implications. Ying-Yi Hong, distinguished professor of...
AI Medical Imagery Model Offers Fast, Cost-Efficient Expert Analysis
Researchers at UCLA have developed a new AI model that can expertly analyze 3D medical images of diseases in a fraction of the time it would otherwise take a...
