What to expect during RAISE Summit: Join theCUBE July 8-9
The AI industry is entering a phase where the race for more capable models is taking a back seat to the economics of building and deploying AI infrastructure.
This has resulted in a focus on application modernization as enterprises continue to invest in autonomous technologies.
Referenced Coverage & Sources
At AI Summit, South Korea Outlines Its AI Future with NVIDIA and Partners
At this week's AI Summit in San Francisco, South Korean President Jae Myung Lee and some of the country's top business leaders and researchers are meeting.
OpenAI's Letter to Governor Abbott on Responsible AI Infrastructure in Texas
OpenAI sent Governor Greg Abbott a letter outlining its commitment to responsible AI infrastructure in Texas.
NVIDIA AI Supercomputer Comes Online at Naval Postgraduate School
NVIDIA founder and CEO Jensen Huang today visited the Naval Postgraduate School in Monterey, California, to commission an NVIDIA DGX GB300 system - bringing.
NVIDIA Harnesses Vera CPU to Speed up Design of Next-Generation CPUs and GPUs
The complexity of modern chip design continues to grow as engineering teams work to develop increasingly sophisticated CPUs, GPUs and AI systems.
AI Infrastructure
AI Infrastructure refers to the hardware compute, vector databases, network fabrics, orchestration layers, and MLOps platforms required to train, evaluate, and serve AI models at scale.
Agentic AI
Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.
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