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NVIDIA Expands Quantum Computing Frontier with CUDA-Q Platform
NVIDIA's CUDA-Q platform enhances quantum computing research, offering improved performance and scalability for hybrid quantum supercomputers, according to NVIDIA Developer Blog.
Decoding PTX: The Core of NVIDIA CUDA GPU Computing
Explore PTX, the assembly language for NVIDIA CUDA GPUs, its role in enabling forward compatibility, and its significance in the GPU computing landscape.
Enhancing CUDA C++ Development with Optimized Compile Times
Learn how the new --fdevice-time-trace feature in CUDA 12.8 improves compile times for CUDA C++ developers, boosting productivity and efficiency.
NVIDIA's CUDA Libraries Enhance Cybersecurity with AI-Powered Solutions
NVIDIA's CUDA libraries are revolutionizing cybersecurity by integrating AI, offering enhanced threat detection, real-time response, and scalability to tackle modern cyber threats.
NVIDIA and AWS Enhance Quantum Computing with CUDA-Q and Braket Integration
NVIDIA collaborates with AWS to integrate CUDA-Q with Amazon Braket, enhancing accessibility and efficiency in quantum computing through hybrid applications and streamlined QPU access.
NVIDIA Unveils CUDA-QX Libraries to Boost Quantum Supercomputing
NVIDIA introduces CUDA-QX, a set of libraries aimed at enhancing quantum supercomputing capabilities by integrating AI tools with quantum processing units (QPUs).
Enhancing Deep Learning with nvmath-python's Matrix Multiplication and Epilog Fusion
Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.
NVIDIA Enhances Google Quantum AI Processor Design with CUDA-Q Platform
NVIDIA collaborates with Google Quantum AI to advance quantum computing design using NVIDIA's CUDA-Q platform, enabling large-scale simulations to tackle noise challenges in quantum hardware.
Numbast Bridges CUDA C++ and Python Ecosystems
Numbast introduces an automated pipeline to convert CUDA C++ APIs into Numba bindings, enhancing Python developers' access to CUDA's performance.
NVIDIA Enhances Polars Data Processing with CUDA-X Acceleration
NVIDIA integrates CUDA-X with Polars, significantly boosting data processing speeds. The update promises up to 13x faster performance, enhancing efficiency for data scientists and engineers.