AI Infrastructure

New platform focuses on runtime enforcement, auditability, and risk scoring for AI agents operating in regulated enterprise environments.

NVIDIA and Emerald AI partner with major energy companies to create grid assets for energy resources and flexible speed-time for AI infrastructure.

Partnership will build hyperscale, energy‑efficient AI infrastructure leveraging NVIDIA’s next-generation CPUs, GPUs, and networking technologies.

The acquisition brings autonomous pipeline creation and verification into Snowflake’s platform as enterprises push to scale AI workloads faster.

Anthropic, Microsoft, NVIDIA, and Lilly signal a shift toward regulated, workflow-native deployment.

Expanded collaboration targets AI-driven manufacturing, simulation, and semiconductor design workflows.

Series E funding supports GPU capacity growth, model training, and enterprise deployment ambitions.

Major expansion of US memory manufacturing strengthens the hardware supply chain that underpins large-scale AI infrastructure.

New benchmark reveals widening gaps in public reporting on training data, model risk, and environmental impact.

Deal integrates data governance, metadata, and MDM into Salesforce’s AI platform to support scalable, auditable AI operations.

Strategic shift reallocates resources to memory and storage solutions for AI and data center workloads.

New model and managed tool framework target long-context reliability, autonomous workflows, and lower deployment overhead.

Partnership equips NATO with secure, AI-ready infrastructure for classified and mission-critical workloads.

Investment strengthens German data centers, AI services, and local offices while supporting sustainable operations.

Agentic Launchpad initiative aligns with Microsoft’s $30 billion investment in UK AI infrastructure and aims to accelerate regional AI innovation and adoption.