Can ‘team rainbow’ loosen CUDA’s grip on AI?
Spectral Compute CEO Michael Søndergaard proposed at this week's Xcelerated Compute Show that CUDA become a common programming model, with compilers translating its code to run on non-Nvidia accelerat…
Spectral Compute CEO Michael Søndergaard proposed at this week's Xcelerated Compute Show that CUDA become a common programming model, with compilers translating its code to run on non-Nvidia accelerat…
NVIDIA has released educational resources for its cuDF and cuML libraries, including Colab notebooks and tutorials for exploring pandas accelerator mode and cuML's accelerator mode. The materials cove…
Nvidia expanded its CUDA-X suite of GPU-accelerated libraries on July 26, 2026, introducing new solver libraries cuISS, cuDSS, and cuEST, along with an expanded Agent Toolkit, to boost performance in …
NVIDIA released nvmath-python v1.0, a Python library that provides access to NVIDIA CUDA-X math libraries for high-performance core math operations on CPU, single GPU, or distributed multi-GPU, multi-…
Nvidia is deploying AI agents and its new Arm-based Vera CV100 CPU to accelerate chip engineering, as traditional design processes can no longer keep pace with the complexity of modern semiconductors.…
NVIDIA today announced an expansion of the NVIDIA Agent Toolkit with re-architected NVIDIA PhysicsNeMo libraries and updated NVIDIA CUDA-X libraries, enabling developers to build autonomous AI enginee…
Palantir Technologies and Nvidia announced a Sovereign AI Operating System Reference Architecture (AIOS-RA) for US government and enterprise use, combining Nvidia's Blackwell Ultra GPU systems with Pa…
NVIDIA introduced new AI software at the ISC conference, including DAQIRI, ALCHEMI NIM microservices, and cuPhoton, to accelerate scientific discovery in fields from materials science to astronomy. Th…