28 articles
NVIDIA Space-1 and edge AI platforms point to orbital compute for satellites, geospatial intelligence, autonomous operations, and AI factories beyond Earth.
Dell Deskside Agentic AI pairs workstations, NVIDIA NemoClaw, and OpenShell to run governed agents near enterprise data.
Nvidia's latest quarter shows hyperscale AI demand is still expanding, with data center revenue dominating the economics of the model race.
NVIDIA says Vera CPU is purpose-built for agentic AI orchestration, tool use, reinforcement learning, and long-context state management.
OpenAI and chip partners released MRC to keep large AI training clusters resilient when network paths fail.
NVIDIA and Marvell expanded NVLink Fusion work, pointing toward semi-custom AI factories, optical links, and AI-RAN infrastructure.
WIRobotics raised about 68 million dollars to scale wearable walking-assist robots and physical AI partnerships with AWS and NVIDIA.
Cerebras priced its IPO above range, testing public investor appetite for wafer-scale AI chips and inference infrastructure.
Fresh analyst target hikes for Nvidia, AMD, Broadcom, Dell, and others show investor focus moving toward agentic AI infrastructure demand.
CME and Silicon Data plan compute futures tied to GPU rental benchmarks, turning AI infrastructure cost into a financial market.
IREN's AI infrastructure volatility shows that GPU demand is real, but financing, power, and execution risk still decide winners.
Amazon's reported Titus data-center effort highlights how power, cooling, and rack design now shape AI competition.
Nvidia's reported IREN cloud deal points to a new AI infrastructure market built around power, options, and secured demand.
NVIDIA and Corning announced a long-term optical connectivity partnership, making fiber capacity part of the AI factory race.
Cerebras is reportedly targeting a valuation up to $26.6 billion, giving public investors a sharper test of AI chip demand beyond Nvidia.
A federal judge let key copyright claims against Nvidia proceed, keeping training-data risk close to the AI infrastructure boom.
Huawei's expected AI chip gains in China show how export controls are pushing inference hardware, software, and sovereignty together.
The Pentagon’s classified AI agreements show how frontier models are moving from demos into defense networks with unresolved governance stakes.
NVIDIA Ising open AI models target quantum calibration and error correction, positioning AI as the control layer for practical quantum computing.
NVIDIA unveils the Vera CPU with 88 custom Olympus cores and 1.2 TB/s memory bandwidth, purpose-built for agentic AI workloads. Why the future of AI infrastructure depends on CPUs, not just GPUs.
CoreWeave and Meta expanded their cloud deal to $21 billion, bringing total commitments to $35.2 billion through 2032. This is the blueprint for how hyperscalers are solving the compute crunch.
Applied Digital and Polaris Forge have finalized a $2.15 billion high-yield bond to fuel the expansion of massive HPC data centers in North Dakota, securing the energy-compute future.
NVIDIA's Nemotron 3 Super sets a new benchmark for open-weight models, specifically optimized for high-density reasoning and autonomous agent orchestration.
AI inference costs have plummeted 280-fold since 2024, enabling a new generation of 'Physical AI' where humanoid robots and edge devices can think in real-time.
NVIDIA unveils the Vera Rubin platform, integrating the Vera CPU and Rubin GPU to power a new era of 'AI Factories' designed for autonomous agentic systems at scale.
Explore the shift from massive AI models to specialized, efficient Small Language Models (SLMs). Learn why the future of AI agents lies in modular, pocket-sized intelligence that is faster, cheaper, and more private.