Our GTC takeaway is clear: NVIDIA is betting hard on open. - NemoClaw turns OpenClaw into enterprise infrastructure. - Nemotron 4 will be open-sourced. - Nemotron Coalition puts eight labs on a shared open frontier model. This is what we've been building toward. Open infrastructure for open intelligence is the direction the biggest AI companies are taking.

From concept to deployment, our latest guide shows how to run secure AI agents with NVIDIA #NemoClaw# on Bitdeer AI Cloud🤖. Learn how to launch a fully sandboxed #agent# in minutes, connect to powerful models like NVIDIA-Nemotron-3-Super-120B-A12B, Moonshot AI’s Kimi-K2.5 through Bitdeer AI’s high performance inference endpoints, and apply network policy controls with greater operational visibility. Explore the guide and start deploying your own secure AI agents on Bitdeer AI Cloud today: #AgenticAI# #AIInfrastructure# #AIInference# #neocloud#

Super agents have arrived on the desktop. With local AI, designers and engineers can build, customize and run domain-specific agents using their own data and workflows. NVIDIA NemoClaw on DGX Station brings together Nemotron 3 Ultra, Omniverse libraries and OpenShell in an open agent stack. 🔗 #SIGGRAPH2026#

We are excited to share that Bitdeer AI Cloud is now supporting @nvidia #OpenShell#, an open source runtime designed to safely build and deploy autonomous, self-evolving agents 🤖. Powered by high-performance NVIDIA GB200 NVL72 systems in our AI DC, Bitdeer AI Cloud provides the infrastructure required to run long-running agent workloads at scale. Developers can build your own AI agent on NVIDIA OpenShell, and seamlessly deploy them on Bitdeer AI Cloud, enabling secure execution, sandboxed environments, and reliable compute for persistent agent systems. This collaboration aligns closely with key themes from the NVIDIA GTC 2026 keynote, where Jensen Huang highlighted the shift toward agentic AI, AI factories, and infrastructure designed to support reasoning, inference, and execution at scale. As AI systems move from simple inference toward autonomous workflows, secure agent runtimes combined with high-performance infrastructure will become a critical foundation for the next generation of AI applications. We’ve compiled more key highlights from the keynote. Read the full summary on our blog🔗： #neocloud# #NVIDIA# #NemoClaw# #Inference# #GTC26#

Jensen Huang's speech quick summary: -Vertically integrated but horizontally open strategy enables broad ecosystem reach -Computing demand increased 1M times in last 2 years - Current demand visibility: $1T through 2027 (vs $500B through 2026 last year) - Grace Blackwell delivers 35-50x performance improvement over Hopper (vs typical 1.5x Moore’s Law progression) - Vera Rubin platform: 7 chips, 5 rack-scale computers, integrated AI - Tokens are new commodity - data centers becoming “token factories” - Groq Integration & Specialized Computing - OpenClaw & Nvidia Nemo Claw: enterprise-secure version with policy engines, network guardrails - Every enterprise needs “OpenClaw strategy” - SaaS companies becoming “agentic as a service” - Confidential computing enables secure model deployment across regions - Pattern: NVIDIA brings customers to cloud partners through integrated acceleration - Expanding beyond data centers: space computing (Vera Rubin Space One) - Six frontier model families: Nemotron (language), Cosmos (world models), Groot (robotics), others ...