NVIDIA highlights enterprise AI at GTC
What happened
NVIDIA is highlighting sessions at #NVIDIAGTC on turning data centers into AI factories, focusing on ROI and secure environments.
Why it matters
NVIDIA is showcasing how data centers are evolving into AI factories at GTC, with a focus on maximizing return on investment (ROI). These AI factories are specialized data centers designed for intelligence at scale, pushing infrastructure to its limits while introducing new security risks. Enterprises are using AI factories to scale AI with confidence, seeking to drive ROI, improve efficiency, and achieve tangible results. NVIDIA's GTC will feature sessions on building AI factories, multi-agent orchestration, and deploying Nemotron reasoning models. MedOne in Israel is already integrating AI factory principles into its data center operations. To secure these AI factories, NVIDIA is integrating its Cybersecurity AI platform with solutions like Check Point's AI Cloud Protect. This involves embedding security controls at the infrastructure layer, offering agentless visibility and enforcement across the AI lifecycle. Cisco is also collaborating with NVIDIA to deliver a secure AI factory architecture, embedding security within all layers. NVIDIA is moving beyond chips to offer an open-source platform for enterprise AI agents, called NemoClaw, to become the software standard for the agentic AI era. The company's GTC event will cover physical AI, agentic AI, inference, and AI factories, highlighting the shift to inference-focused chips designed for agentic workloads. Companies like ABB are demonstrating how physical AI simulation is driving ROI in factory automation using NVIDIA Omniverse, cutting deployment costs and accelerating time to market. Arango will demonstrate how a contextual data layer helps make AI systems reliable and production-ready. IBM and NVIDIA are combining enterprise-grade platforms with AI acceleration to help organizations move AI from lab to production.
What happens next
- NVIDIA's GTC will feature sessions on building AI factories, multi-agent orchestration, and deploying Nemotron reasoning models.
- The company's GTC event will cover physical AI, agentic AI, inference, and AI factories, highlighting the shift to inference-focused chips designed for agentic workloads.
- Arango will demonstrate how a contextual data layer helps make AI systems reliable and production-ready.
Sources
Quick answers
What happened in NVIDIA highlights enterprise AI at GTC?
NVIDIA is highlighting sessions at #NVIDIAGTC on turning data centers into AI factories, focusing on ROI and secure environments.
Why does NVIDIA highlights enterprise AI at GTC matter?
NVIDIA is showcasing how data centers are evolving into AI factories at GTC, with a focus on maximizing return on investment (ROI). These AI factories are specialized data centers designed for intelligence at scale, pushing infrastructure to its limits while introducing new security risks. Enterprises are using AI factories to scale AI with confidence, seeking to drive ROI, improve efficiency, and achieve tangible results. NVIDIA's GTC will feature sessions on building AI factories, multi-agent orchestration, and deploying Nemotron reasoning models. MedOne in Israel is already integrating AI factory principles into its data center operations. To secure these AI factories, NVIDIA is integrating its Cybersecurity AI platform with solutions like Check Point's AI Cloud Protect. This involves embedding security controls at the infrastructure layer, offering agentless visibility and enforcement across the AI lifecycle. Cisco is also collaborating with NVIDIA to deliver a secure AI factory architecture, embedding security within all layers. NVIDIA is moving beyond chips to offer an open-source platform for enterprise AI agents, called NemoClaw, to become the software standard for the agentic AI era. The company's GTC event will cover physical AI, agentic AI, inference, and AI factories, highlighting the shift to inference-focused chips designed for agentic workloads. Companies like ABB are demonstrating how physical AI simulation is driving ROI in factory automation using NVIDIA Omniverse, cutting deployment costs and accelerating time to market. Arango will demonstrate how a contextual data layer helps make AI systems reliable and production-ready. IBM and NVIDIA are combining enterprise-grade platforms with AI acceleration to help organizations move AI from lab to production.
