🌍 Join NVIDIA Training’s global webinar to prepare for the Generative AI Certification exams. In this session, you’ll: ✅ Identify the right exam for your career goals and gain test-day confidence ✅ Explore the new Professional-level Agentic AI and Generative AI LLM certifications ✅ Get exam prep tips and practice with sample questions ✅ Connect with certification experts in a live Q&A Bonus: special exam promo code for the webinar attendees 🔗 https://t.co/ayDyMvD6LX 📅 Tuesday, October 7, 2025 🕘 9:00 a.m. PT | 9:00 a.m. CET | 12:30 p.m. IST | 2:00 p.m. BRT | 3:00 p.m. SGT
About us
Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.
- Website
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http://nvda.ws/2nfcPK3
External link for NVIDIA AI
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
Updates
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Recomputing KV Cache for long prompts or repeated inputs adds latency and wastes GPU resources. The latest NVIDIA Dynamo release solves this by offloading KV Cache to CPU RAM, SSDs, or remote storage—cutting redundant computation and speeding up responses. Storage providers VAST Data and WEKA have validated this approach, proving efficient KV Cache offload at scale. And the #opensource LMCache project has integrated its management layer into Dynamo, further extending caching capabilities. 👉 Read the blog: https://nvda.ws/4gvGmrH
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CrowdStrike & NVIDIA are shaping the future of secure AI with Charlotte AI AgentWorks + NVIDIA Nemotron models. Learn more 👇
🔄 CrowdStrike and NVIDIA unite to power the future of AI security. New from #FalCon2025: Integration of Charlotte AI AgentWorks with NVIDIA Nemotron enables analysts to build custom security agents with no-code simplicity. The collaboration delivers: • GPU-accelerated agent development • Enterprise-grade controls and governance • Full lifecycle protection for AI agents • Runtime safety with NeMo Guardrails Learn more: https://lnkd.in/gXHaxExA
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Could an agent self-evolve solvers for NP-complete problems?⚒️⚙️ Our new framework, SATLUTION, autonomously evolves Boolean Satisfiability (SAT) solvers via LLM agents that outperformed the 2025 SAT Competition champions by more than 10% Read more about how our #NVIDIAResearch team did it ➡️ https://nvda.ws/4n6sq9X
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✨ Run large AI models locally and spark scalable innovation, while reducing reliance on cloud services. The Acer Veriton GN100 AI Mini Workstation is a compact on-premises powerhouse featuring an NVIDIA GB10 Grace Blackwell Superchip that boasts up to 1 petaFLOP of FP4 AI performance accelerated with the NVIDIA AI Platform. The NVIDIA GB10 and NVIDIA AI software stack provide the most advanced AI platform available for developers to build and run AI workloads and easily scale out to any accelerated cloud or data center infrastructure. Learn more ➡️ https://lnkd.in/gRvM6K7a #SparkSomethingBig #AcerAI #AcerVeritonGN100
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Businesses are onboarding teams of AI agents to drive productivity and revenue. As AI agents are adopted across enterprises, managing their deployment will require a deliberate strategy: 💡 Choose the right AI agent for the task 📊 Upskill AI agents by connecting them to data 👥 Onboard AI agents into lines of business 🔒 Provide guardrails and governance for AI agents 📖 Read the blog to learn more: https://nvda.ws/3IuDfU7
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Explore the capabilities of the new Jetson Thor Developer Kit in this technical livestream. We’ll cover the hardware architecture, software stack, and latest performance benchmarks. We will also touch on key demos including Video Search and Summarization (VSS), GR00T HIL, and Holoscan Sensor Bridge. The session will conclude with a dedicated Q&A for developers to engage directly with experts.
Inside Jetson Thor: Architecture, Performance, Workflows and Live Q&A
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We sat down with ServiceNow to explore how they evaluated open models like NVIDIA Nemotron for large scale document intelligence. From rigorous benchmarking to real-world deployment, here’s some of their learnings in intelligent automation 👉 https://nvda.ws/3VXrxo6
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Curious about Dynamo and Kubernetes come and get your questions answered by our team.
Inference Office Hours - Dynamo on Kubernetes
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