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NVIDIA Other 2026-03-17

Project Rheo: NVIDIA Shifts Robot Training Control from Real Hospitals to Simulation

NVIDIA unveils Project Rheo, a blueprint combining Isaac Sim, GR00T VLA models, and synthetic data generation for hospital robotics. Developers train Physical AI policies in digital twins—loco-manipulation (surgical tray pick-and-place) and precision bimanual tasks (trocar assembly)—with Cosmos Transfer 2.5 for cross-scene generalization.

Cisco Other High Signal 2026-03-17

Cisco Expands Secure AI Factory with NVIDIA to Edge and Security

Cisco expands its Secure AI Factory with NVIDIA to enable AI deployment from data centers to edge sites, adding security capabilities like firewall policy enforcement on DPUs and AI Defense integration, offering flexible architecture options to accelerate production scaling.

NVIDIA Other Medium Signal 2026-03-17

NVIDIA Collaborates with T-Mobile to Integrate Physical AI Applications on AI-Ready RAN Infrastructure

NVIDIA partners with T-Mobile to integrate physical AI applications on AI-RAN ready infrastructure, enabling AI models to interact directly with the physical world. This focuses on wireless RAN for network optimization and automated operations, providing intelligent foundational support for 5G and future networks.

NVIDIA Other High Signal 2026-03-17

NVIDIA Expands NIM Microservices and Digital Twin Platform to Strengthen Full-Stack AI Ecosystem

NVIDIA launched NIM microservices supporting 30+ models across text, vision, speech, and embodied AI, available via AI Enterprise and cloud providers. Simultaneously released Omniverse Cloud digital twin platform with robotics simulation and introduced BioNeMo foundation models for healthcare.

Hewlett Packard Enterprise Other Medium Signal 2026-03-16

HPE Deepens NVIDIA Partnership with Expanded AI Computing Portfolio

HPE announced a significant expansion of its 'NVIDIA AI Computing by HPE' portfolio, aiming to accelerate enterprise AI deployment, operationalization, and scaling through pre-integrated and validated systems that address scale, security, and governance requirements.

Hewlett Packard Enterprise Other Medium Signal 2026-03-16

HPE Deepens AI Factory Partnership with NVIDIA, Unveils Full-Stack Supercomputing Solutions

At GTC 2026, HPE announced enhancements to its NVIDIA AI Computing portfolio, introducing full-stack solutions for large-scale AI factories and supercomputers. The offerings integrate compute, GPUs, networking, liquid cooling, software, and services to improve deployment efficiency and time-to-insight.

Hewlett Packard Enterprise Other High Signal 2026-03-16

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.

Hewlett Packard Enterprise Other High Signal 2026-03-16

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.

Hewlett Packard Enterprise Other High Signal 2026-03-16

HPE Positions AI Data Pipeline as the Platform, Outlining Pillars for Production AI

HPE argues enterprise AI is shifting from experimentation to production, reliant on an infrastructure platform comprising the data pipeline, unified storage, and accelerated compute. It highlights three pillars for success: consistent performance, predictable scaling, and long-term cost efficiency, addressing the complexities of AI workloads in production.

NVIDIA Other High Signal 2026-03-14

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.

Qualcomm Other High Signal 2026-03-13

Qualcomm and Siemens Demo Industrial AI Edge Computing with 5G Private Network Integration

Qualcomm demonstrated a digital twin solution with Siemens at MWC, integrating Qualcomm Aware Platform and AI Stack for on-premises AI inference combined with 5G private network for reliable connectivity. The solution deploys edge AI and connectivity directly at industrial sites for predictive maintenance and real-time digital twins.

Qualcomm Other Medium Signal 2026-03-13

Qualcomm and T-Mobile Deepen Collaboration to Accelerate 5G Advanced to 6G Transition

Qualcomm and T-Mobile announced an enhanced strategic collaboration focusing on AI-driven network optimization, Open RAN deployment, and 6G foundational R&D. The partnership combines chip, wireless technology, and network infrastructure strengths to improve performance and intelligence, advancing mobile ecosystem progress.

NVIDIA Other 2026-03-13

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.

Cisco Other Medium Signal 2026-03-13

Cisco Open Sources RAG Vector Space Security Detection Tool

Cisco releases open source Adversarial Hubness Detector tool with multi-detector architecture to identify adversarial attacks in RAG vector spaces, supporting major vector databases. Extends defense from prompt layer to knowledge retrieval layer against emerging 'gravity well' attacks.

Cisco Other Medium Signal 2026-03-12

Cisco Launches Open Transport 3000 Series for AI Traffic Optimization

Cisco introduces Open Transport 3000 series with multi-track architecture integrating optical components into single line cards, reducing power by 75% and space by 80%. Updates NCS 1014 with 12.8T line cards and launches industry-first QSFP-DD pluggable protection switching module, addressing AI distributed computing challenges.

NVIDIA Other High Signal 2026-03-12

Nvidia Launches Nemotron 3 Super for Agentic AI Inference Optimization

Nvidia releases Nemotron 3 Super, a 120B parameter model with hybrid MoE architecture combining Mamba and Transformer layers, delivering 5x throughput improvement. Designed for multi-agent workflows with 1M token context window to prevent task drift. Open weights and cloud deployment lower enterprise adoption barriers.

Intel Other 2026-03-11

Intel Launches Core Ultra 200S Plus Desktop Processors

Intel introduces Core Ultra 200S Plus desktop processors with increased efficiency cores and higher die-to-die frequencies for multithreading performance. New binary optimization tool enhances game compatibility and local performance, supporting higher memory speeds and capacity.

Anthropic Other 2026-03-11

Introducing The Anthropic Institute \ Anthropic

AnnouncementsIntroducing The Anthropic InstituteMar 11, 2026We’re launching The Anthropic Institute, a new effort to confront the most significant challenges that powerful AI will pose to our societie...

Fortinet Other High Signal 2026-03-10

Fortinet Integrates AI Agents and SASE in FortiOS 8.0

Fortinet introduces FortiOS 8.0 with fabric-based AI agents, secure AI controls, flexible SASE, and simplified SD-WAN to expand AI-driven security in enterprise networking, shifting control planes towards AI integration.

Ericsson Other Medium Signal 2026-03-09

Ericsson Partners with China Mobile on Simplified RAN for Rural Networks

Ericsson and China Mobile demo simplified RAN architecture for rural areas, using integrated hardware and AI automation to reduce deployment costs. The solution features multi-band multi-standard equipment and zero-touch operations targeting remote network coverage challenges.