
NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories
NVIDIA introduces its DSX Ready program to standardize and qualify power and cooling hardware for AI data centers.

NVIDIA introduces its DSX Ready program to standardize and qualify power and cooling hardware for AI data centers.

Donald Trump faces growing pushback from MAGA conservatives and voters over his aggressive support for AI data center expansion.

Scotland voted to halt new AI data center approvals for up to a year to establish national environmental impact guidelines.

NVIDIA's Vera Rubin NVL72 benchmark debuts in MLPerf Inference v6.1, yielding up to 3.7x higher throughput than its predecessor.

Nvidia's Head of Physical AI highlights the severe lack of real-world internet-scale data as the main obstacle to robotics achieving a ChatGPT moment.

A new survey shows 61% of likely US voters oppose AI data center construction, driven by environmental and local community concerns.

Agility Robotics unveils Digit 5 with hardware-level safety features, targeting human-adjacent warehouse deployments in 2027.

NVIDIA and infrastructure partners demonstrated new power-management tools designed to optimize energy efficiency in large-scale AI factories.

Hyperscalers face immense profit pressure as AI infrastructure capital expenditure targets $1.1 trillion by 2027 against modest current revenues.

Cornelis raises $205M to challenge Nvidia's networking dominance with its open-architecture Active Compute Fabric.

The shift from simple LLM chatbot queries to multi-step autonomous AI agents is accelerating data center compute demand and energy use.

Former EPA officials warn the Trump administration's environmental deregulation for AI data centers poses widespread public health risks.

Chinese manufacturer Unitree is dramatically lowering hardware costs for quadruped and humanoid robots, fueling market adoption and a Shanghai IPO.

Ypsilanti Township residents voiced intense opposition at a town hall regarding a proposed $1.2B AI data center tied to Los Alamos National Lab.

NVIDIA detailed its full compute stack spanning training, simulation, and edge hardware powering commercial scale robotaxi operations.

Inference chipmaker d-Matrix has adopted NVIDIA NVLink Fusion to connect its Raptor XPUs directly into NVIDIA's rack-scale AI infrastructure.

Grid instability caused by rapid AI workload swings requires a fundamental shift to medium-voltage data center electrical architectures.

AWS teamed up with Qualcomm to deploy specialized AI inference chips while Qualcomm adopts AWS Bedrock for automated semiconductor design.

Data center developers target Argentina's Patagonia region for massive AI facilities, leveraging cold climate, low-cost power, and available land.

Bluecore Energy raised a $50M seed round to build floating nuclear reactors for AI data centers and coastal infrastructure.

A fire at a $3.2B AI data center site highlights the complex layer of corporate structures and safety liabilities behind massive compute builds.

Perplexity published technical details on its custom GPU infrastructure stack that optimizes batch and real-time embedding serving.

The shift to real-time AI inference requires rearchitecting data center storage, memory bandwidth, and networking infrastructure.

Deepseek plans a 160,000-chip Huawei Ascend-950DT inference cluster in Inner Mongolia while remaining dependent on Nvidia for core training.

Utility Madison Gas and Electric partnered with Realta Fusion for a 200MW plant to secure clean baseload power for surging AI data center demands.

Nvidia's RTX Spark superchip is powering a new wave of high-end AI laptops designed to run agentic workloads locally.

Nvidia is officially rolling out DLSS 5, using generative AI filters to upscale graphics but requiring heavy hardware and multi-frame generation.

An opinion piece argues the EU could force a global AI slowdown by using Dutch firm ASML's lithography dominance as a trade choke-point.

China's CXMT has started small-scale production of HBM3E memory chips to help domestic AI chipmakers bypass US export controls.

AI labs are buying tens of thousands of Apple Mac Minis to train computer-use agents due to unified memory advantages.

Meta is quietly testing physical robots from multiple vendors to handle server maintenance and cabling in its data centers.

Australia forecasts a tenfold increase in data center power demand by 2035, sparking political debate over energy grid rules.

OpenAI claims its custom Jalapeño ASIC outperforms NVIDIA's flagship chips on key AI inference efficiency benchmarks.

Apple released new Mac mini and Mac Studio desktops featuring M6 and M5 Ultra chips optimized for local AI workflows.

NVIDIA has put its Groq 3 LPX rack-scale inference system into full production to accelerate long-context agentic AI workloads.

NVIDIA claims its Vera Rubin NVL72 platform delivers up to 30x higher throughput per megawatt for demanding agentic AI workloads.

Databricks continues to play a pivotal role in the enterprise data landscape, enabling customers to process exabytes of data daily and effectively harness the power of generative AI. The company’s platform serves as a …

Microsoft has introduced Fara-7B, a groundbreaking 7-billion parameter AI model designed to function as an efficient computer-use agent. This new model is notable for its ability to rival the performance of larger, more …

Databricks, a prominent player in the big data and cloud analytics space, announced the general availability of Materialized View & Streaming Table (MV/ST) Delta Sharing. This enhancement to their Delta Sharing …

This news item focuses on a unified approach to protecting against data exfiltration on the Databricks platform, a popular cloud-based data analytics service. Data exfiltration, the unauthorized copying of sensitive …
This article focuses on delivering ‘Agentic BI’, a concept emphasizing the unification of infrastructure, data, and semantics in business intelligence. It suggests a shift toward more integrated and intelligent BI …