Tag
AI infrastructure
AI infrastructure covers the compute, storage, networking, and data-center capacity behind training and inference, plus the GPU supply, power costs, and regulation that shape where models can scale and who can run them.
23 articles
Nvidia backs Corning factories with billions
Nvidia is funding Corning factory construction with several billion dollars, alongside a separate equity stake worth up to $3.2 billion.
Why Jensen Huang is right to tell grads to run toward AI
Jensen Huang is right: AI infrastructure is the best near-term bet for ambitious graduates and for America’s industrial base.
Why Rust Is the AI Language of the Future
Rust will power more AI infrastructure because its compiler enforces safety and speed at compile time.
Anthropic’s $1.8B Akamai Deal Signals Compute Hunger
Anthropic signed a reported $1.8 billion, seven-year compute deal with Akamai as demand for Claude keeps climbing.
Why Anthropic’s $200B Google Cloud pledge changes the AI race
Anthropic’s five-year $200 billion Google Cloud commitment is a strategic moat, not just a cloud bill.
Nvidia’s $40B AI equity spree raises new questions
Nvidia has topped $40 billion in 2026 equity commitments as it backs AI suppliers, cloud firms, and model makers.
Why the NVIDIA-Corning Deal Matters More Than Another AI Press Release
NVIDIA and Corning are betting that AI infrastructure now depends on U.S.-built optical connectivity, not just more GPUs.
Anthropic’s growth is outrunning its compute
Anthropic’s revenue hit $30 billion annualized, but demand forced it to rent xAI’s Memphis data center and raise Claude limits.
Why Musk’s AI stack should stay inside SpaceX
Musk’s AI strategy is strongest when it stays vertically integrated inside SpaceX.
Why OpenAI’s Microsoft breakup is good for everyone
OpenAI’s move away from Microsoft exclusivity is the right call for customers, developers, and the market.
OpenAI maps out compute buildout beyond 10GW
OpenAI says it is planning beyond 10GW of compute and reviewing U.S. data center sites with partners.
Anthropic and Amazon lock in 5GW for Claude
Anthropic and Amazon signed a bigger AWS deal: up to 5GW for Claude, $100B+ over 10 years, and 100,000+ AWS customers already using it.
Amazon’s $25B Anthropic Bet Is About Compute
Amazon will invest up to $25B in Anthropic, while Anthropic plans to spend over $100B on AWS over 10 years for AI compute.
Matei Zaharia Wins 2025 ACM Prize for AI Infra
Matei Zaharia won the 2025 ACM Prize for Spark and Ray, the systems that power faster machine learning, analytics, and AI at scale.
OpenAI pauses UK data centre plan over costs
OpenAI is pausing its Stargate UK project, citing energy prices and regulation as it keeps investing in UK talent and AI work.
Anthropic Deepens Google and Broadcom Compute Deal
Anthropic signed a multi-gigawatt TPU deal with Google and Broadcom, as Claude revenue tops $30B run-rate and enterprise spend doubles.
Kubernetes Is Becoming AI’s Control Plane
KubeCon Europe 2026 showed Kubernetes moving from app orchestration to AI ops, with inference, GPUs, and open standards leading the shift.
Five AI Infra Frontiers Bessemer Expects for 2026
Bessemer’s 2026 AI infra roadmap points to memory, continual learning, RL, inference, and world models as the next big build areas.
OpenAI’s $122B push for AI infrastructure
OpenAI says its AI stack now spans cloud, silicon, and data centers, with partners from Microsoft to Broadcom and SoftBank.
Agent Infra Is Rewriting AI Infrastructure
SWE-agent, Anthropic, and MCP show why agent performance now depends on interfaces, state, and scheduling, not model size alone.
NVIDIA Rubin Pushes AI Infrastructure to a New Scale
NVIDIA’s Rubin platform bundles six chips, claims 10x lower inference cost, and brings Vera Rubin NVL72 systems to cloud and enterprise AI.
OpenAI’s Compute Bet Is Reshaping AI Economics
OpenAI’s spending on chips, power, and data centers is exposing a hard truth: AI demand is real, but the business math is still shaky.
NVIDIA Unveils Rubin: A Leap in AI Supercomputing
NVIDIA Rubin platform introduces six new chips for AI, offering up to 10x inference cost reduction, aiming to redefine AI infrastructure standards.