Likely delay in Nvidia’s Rubin GPUs may leave enterprises facing slower access to next-gen infrastructure and extended ...

Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel ...

The Arkansas Integrative Metabolic Research Center will host Dr. Prateek Verma, manager of the AIMRC Data Science Core, Wednesday, April 1, to highlight the unique complex-analysis and ...

Nvidia's $20B Groq deal and Groq 3 LPU debut at GTC 2026 signal a shift from GPU-only inference to heterogeneous AI computing ...

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...

Warp is a Python framework for writing high-performance simulation and graphics code. Warp takes regular Python functions and JIT compiles them to efficient kernel code that can run on the CPU or GPU.

At this bigger-than-ever GTC, Huang made it clear that Nvidia is gunning to command the levers of the entire AI factory hardware and software stack, though of course it’s leaving plenty of room for ...

pyPFC is a high-performance simulation framework designed for modeling crystal structures and their evolution using the Phase Field Crystal (PFC) method. The code uses PyTorch to allow execution on ...

NVIDIA's Newton physics engine hits production release with 475x speedup over MJX, enabling Skild AI and Samsung to train manipulation policies at scale. NVIDIA released Newton 1.0 GA at GTC 2026, ...

Nvidia (NVDA) CEO Jensen Huang doubled down on the $500B figure he revealed during last year's GTC. "We saw $500B in GPU demand last year for Blackwell and Rubin," Huang said during his GTC 2026 ...

In this tutorial, we explore how to use NVIDIA Warp to build high-performance GPU and CPU simulations directly from Python. We begin by setting up a Colab-compatible environment and initializing Warp ...