Rolling coverage from San Jose, including NVIDIA CEO Jensen Huang’s keynote, news highlights, live demos and on‑the‑ground color through March 19.
Executive Summary. Vasili Triant explains why AI is not replacing enterprise systems but eliminating redundant CRM layers as the stack shifts toward real-time orchestration and unified agent workflows. Enterprise customer experience is entering a struc…
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While Transformer-based architectures remain the standard, their quadratic computational complexity and linear memory requirements create significant deployment bottlenecks. A team of researchers from Carnegie Mellon University (CMU), Princeton University, Together […]
The post Meet Mamba-3: A New State Space Model Frontier with 2x Smaller States and Enhanced MIMO Decoding Hardware Efficiency appeared first on MarkTechPost.
Executive Summary. France Hoang argues that AI in education must evolve from isolated tools into governed, collaborative infrastructure that institutions can oversee, audit, and align with learning outcomes. As AI becomes embedded in higher education, …
The deployment of autonomous AI agents—systems capable of using tools and executing code—presents a unique security challenge. While standard LLM applications are restricted to text-based interactions, autonomous agents require access to shell environments, file systems, and network endpoints to perform tasks. This increased capability introduces significant risks, as a model’s ‘black box’ nature can lead […]
The post NVIDIA AI Open-Sources ‘OpenShell’: A Secure Runtime Environment for Autonomous AI Agents appeared first on MarkTechPost.
The transition from a raw dataset to a fine-tuned Large Language Model (LLM) traditionally involves significant infrastructure overhead, including CUDA environment management and high VRAM requirements. Unsloth AI, known for its high-performance training library, has released Unsloth Studio to address these friction points. The Studio is an open-source, no-code local interface designed to streamline the […]
The post Unsloth AI Releases Unsloth Studio: A Local No-Code Interface For High-Performance LLM Fine-Tuning With 70% Less VRAM Usage appeared first on MarkTechPost.
As AI‑native applications scale to more users, agents and devices, the telecommunications network is becoming the next frontier for distributing AI. At NVIDIA GTC 2026, leading operators in the U.S. and Asia showed that this shift is underway, announcing AI grids — geographically distributed and interconnected AI infrastructure — using their network footprint to power […]
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 so that our kernels can run on either CUDA GPUs or CPUs, depending on availability. We then implement several custom Warp kernels that demonstrate […]
The post How to Build High-Performance GPU-Accelerated Simulations and Differentiable Physics Workflows Using NVIDIA Warp Kernels appeared first on MarkTechPost.
Roche’s new deployment spans more than 3,500 NVIDIA Blackwell GPUs across its worldwide operations and embedded across the entire value chain, massively scaling R&D productivity, next-generation diagnostics and manufacturing efficiencies.
Setting up AI factories in simulation — decreasing deployment time from months to days — is accelerating the next industrial revolution. Nowhere was that more apparent than at GTC 2026, in San Jose, where NVIDIA founder and CEO Jensen Huang introduced NVIDIA DSX Air. Part of NVIDIA DSX Sim in the DSX platform, NVIDIA’s blueprint […]