NVIDIA RTX PRO 6000 Blackwell Workstation Edition delivers ultimate acceleration for data science and AI workflows.

NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...

Abstract: In modern software development, Python third-party libraries play a critical role, especially in fields like deep learning and scientific computing. However, API parameters in these ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems The upgraded ...

Collaboration accelerates quantum simulations by orders of magnitude, expanding global access to hybrid quantum computing and advancing the path toward industrial-scale quantum systems GPU-Accelerated ...

For most of human history, mapping the universe meant staring up at the night sky. Today, it means crunching trillions of data points drawn from the faint light of billions of galaxies. However, as ...

Alibaba, a long-time user of Nvidia’s AI processors, is now working on its own competing technology. It recently unveiled a processor with the same performance specs as Nvidia’s AI accelerator ...

GASAL2‑Py — Fast GPU Semi‑Global Alignment with Python Bindings GASAL2-Py is the Python interface to GASAL2, a CUDA GPU library for DNA/RNA sequence alignment Description This project provides Python ...

What we know so far: Chinese tech firm Innosilicon Technology has unveiled the Fenghua No. 3 graphics card, a homegrown GPU built entirely on a new architecture. The launch marks a major step forward ...