Reports
AI-generated structured vendor updates
HPE Alletra MP X10000 Becomes First NVIDIA-Certified Object Storage Platform for Enterprise AI
HPE announces its Alletra Storage MP X10000 is the first object-based platform certified by NVIDIA for enterprise AI. This signifies the extension of AI performance certification standards from the compute layer to the data layer, aiming to address data access bottlenecks in large-scale AI training, fine-tuning, and inference.
HPE Deploys Sovereign AI Factories with NVIDIA at National Labs
HPE announces a collaboration with NVIDIA to deploy liquid-cooled sovereign AI systems at Argonne National Laboratory in the U.S. and HLRS in Germany. This move aims to provide government and research institutions with AI infrastructure that meets data sovereignty and compliance requirements, accelerating the deployment and scaling of their AI initiatives.
NVIDIA Releases Cosmos World Model Suite, Enhancing Synthetic Data and Reasoning for Physical AI
NVIDIA has released significant updates to its Cosmos World Foundation Models (WFM) suite, including Transfer 2.5, Predict 2.5, and Reason 2. These models are designed to accelerate the generation of high-fidelity, physics-aware synthetic data and support downstream fine-tuning and reasoning for physical AI systems like robotics and autonomous vehicles, addressing the bottleneck of real-world data scarcity.
NVIDIA Warp: Differentiable Physics Simulation for AI Training on GPU
NVIDIA Warp is a framework for GPU-accelerated, differentiable physics simulation. It enables writing high-performance kernels in Python, with automatic differentiation, and integrates with PyTorch/JAX. The 2D Navier-Stokes example demonstrates end-to-end optimization, reducing the cost of generating training data for physics AI.
NVIDIA and Dassault Systèmes Integrate Virtual Twin and AI Physics Models
NVIDIA partners with Dassault Systèmes to integrate virtual twin platforms with NVIDIA accelerated computing, AI physics models, and CUDA-X/Omniverse libraries. The integration enables AI-based physical behavior simulation through SIMULIA software for real-time prediction across industries.
NVIDIA Enhances Cloud Gaming VR Performance and Subscription Integration
NVIDIA increased GeForce NOW cloud gaming VR streaming frame rate from 60fps to 90fps for devices like Apple Vision Pro; added Xbox and Ubisoft+ account linking for game library sync and subscription content visibility.
NVIDIA and Thinking Machines Lab Form Gigawatt-Scale AI Infrastructure Partnership
NVIDIA and Thinking Machines Lab announced deployment of at least one gigawatt of next-gen Vera Rubin systems for cutting-edge AI model training. This collaboration sets a new benchmark for hyperscale AI compute demand, signaling a move towards gigawatt-scale AI infrastructure.
NVIDIA Jetson Advances Localized Deployment of Open-Source AI Models at Edge
NVIDIA's Jetson edge AI platform enables localized deployment of open-source generative AI models like Qwen3 4B and Mistral 3 on edge devices. The platform offers a complete hardware range from Jetson Orin Nano to Thor, integrating compute and memory in SoM for simplified design. Key performance shows Jetson Thor achieves 52 tokens/sec for Mistral 3 inference.
NVIDIA Launches RTX PRO Server Virtualization for Game Development AI Infrastructure
NVIDIA introduces RTX PRO Server, a centralized virtualized GPU platform using RTX PRO 6000 GPU and vGPU software. It leverages MIG technology to partition a single GPU into up to 48 user instances, enhancing resource utilization and team collaboration. The solution integrates AI training with graphics workflows for dynamic resource allocation and unified cross-region development.
NVIDIA Partners with Thinking Machines Lab for Gigawatt-Scale AI Infrastructure
NVIDIA and Thinking Machines Lab form a multi-year partnership to deploy at least 1 GW of next-gen Vera Rubin systems for cutting-edge AI model training and scalable customized AI platforms. The collaboration includes co-designing training and inference systems and expanding access to advanced AI and open-source models for enterprises and research institutions.
NVIDIA Proposes Five-Layer AI Cake Theory Defining Infrastructure Buildout Framework
NVIDIA CEO presented a five-layer AI development framework at Davos, systematically outlining full-stack construction from energy infrastructure, compute infrastructure, AI models, AI applications to industry AI factories. The framework emphasizes hierarchical synergistic development driven by generative AI, providing an ecosystem perspective for enterprise AI strategy planning.
ABB and NVIDIA Integrate Omniverse for High-Fidelity Industrial Robot Simulation
ABB Robotics integrates NVIDIA Omniverse into RobotStudio to launch RobotStudio HyperReality. Achieves 99% simulation accuracy via USD export and virtual controllers, enabling synthetic data for AI training. Reduces deployment costs by 40% and accelerates time-to-market by 50%.
NVIDIA Extends CUDA Tile Programming Model to Julia Language
NVIDIA introduces its CUDA Tile high-level GPU programming model to the Julia ecosystem via the cuTile.jl package. This move aims to lower the barrier to high-performance GPU kernel development by abstracting low-level thread and memory management with a tile-based data model, while maintaining high syntax and performance parity with the Python version.
NVIDIA Partners with Coherent on Data Center Optical Interconnect Tech
NVIDIA partners with photonics specialist Coherent to develop next-gen data center optical interconnect technology. The collaboration targets high-performance, high-density, low-power optical solutions for AI and HPC workloads, addressing bandwidth and efficiency bottlenecks. This strengthens NVIDIA's system-level optimization in AI infrastructure hardware ecosystems.
Cisco Promotes eBPF Kernel Security Architecture Through VoidLink Analysis
Cisco analyzes the VoidLink malware framework to expose security gaps in cloud-native and AI workloads, highlighting visibility limitations of traditional security solutions. The company demonstrates Hypershield's eBPF-based kernel-level runtime security for container and Kubernetes environments.
Trend Micro Report Highlights AI Supply Chain Risks and Model Attack Surfaces
Trend Micro's 'Fault Lines in the AI Ecosystem' report systematically analyzes security risks in the AI supply chain, including training data poisoning, third-party plugin vulnerabilities, and model theft attacks. It indicates that enterprise AI security boundaries have expanded from traditional IT infrastructure to the model layer and data pipelines.
NVIDIA and Coherent Collaborate on Data Center Optical Interconnect Technology
NVIDIA and optical technology provider Coherent have formed a strategic partnership to develop next-generation data center optical interconnect solutions. The collaboration combines NVIDIA's AI computing expertise with Coherent's photonics technology to deliver higher bandwidth and lower latency interconnects for AI clusters and HPC.
Cisco Launches Mobile Services Platform Strategy for AI-Era Network Transformation
Cisco introduces a mobile services platform strategy integrating IoT-as-a-Service, programmable core, and mobile service gateway, enabling migration from 2G to 5G Advanced towards AI-native architecture. The platform implements AI-wireless bidirectional strategy with NVIDIA and joins open standards projects for cloud-native frameworks.
AMD Launches AI Developer Program to Strengthen Software Ecosystem
AMD launched a centralized AI developer portal offering ROCm software stack, optimized frameworks, and tools to lower development barriers and enhance hardware performance. The program systematically strengthens AMD's AI software ecosystem through pre-optimized models and community support, directly challenging NVIDIA's CUDA dominance.
AMD Launches Containerized Software Platform for AI and HPC Development
AMD releases Infinity Hub software containers offering pre-configured ROCm-optimized environments to streamline AI and HPC application development. The containerized approach reduces development barriers and ensures performance consistency, reflecting AMD's software ecosystem enhancement strategy.