The NVIDIA accelerated computing platform is optimized for energy efficiency while accelerating AI performance, helping enterprises deploy secure, future-ready AI data centers.
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NVIDIA Data Center reposted this
AI is reshaping what’s possible in graphics. ✨ Hear NVIDIA AI research leaders Sanja Fidler, Aaron Lefohn, and Ming-Yu reveal our latest breakthroughs in computer graphics and physical AI at #SIGGRAPH2025. Watch the replay: https://nvda.ws/4lDqR1Z
📣 Next week at #HotChips2025, we're presenting on some of our latest innovations for AI factories. You don't want to miss out on these networking sessions: ⚡️NVIDIA ConnectX-8 SuperNIC: A Programmable RoCE Architecture for AI Data Centers 🎯Co-Packaged Silicon Photonics Switches for Gigawatt AI Factories Discover how to supercharge hyperscale AI workloads and network efficiency. ➡️ https://nvda.ws/4ml2F5f
Why are enterprises turning to Secure AI for transformation? See how Cisco's Secure AI Factory with NVIDIA is securely bringing AI to the enterprise. Get real-world insights from industry leaders Jeremy Foster of Cisco and Chris Marriott of NVIDIA. ⤵️
🔥 In this fireside chat—the last of a three-part series—Cisco’s Jeremy Foster and NVIDIA's Chris Marriott explore how our Secure AI Factory partnership helps customers increase value by combining flexible deployment models with NVIDIA-accelerated infrastructure. Watch now 🔗 http://cs.co/6047fH485 #CiscoDCC
Continuous integration and continuous delivery/deployment (CI/CD) isn't just for software anymore—it's the new standard for modern network management for the #datacenter. Learn how to treat your network infrastructure as code, using version control and automation tools like NVIDIA Air to create reliable, scalable, and repeatable deployments. ➡️ https://nvda.ws/45wNdvC
🏥 Northwestern Medicine is leveraging the Dell AI Factory with NVIDIA to empower clinicians and engineers to build intelligent solutions that help keep patients healthier for longer. Powered by our full-stack #acceleratedcomputing and AI platform, they’re accelerating diagnostics, optimizing workflows, and driving groundbreaking medical research. 📹 See how AI is shaping the future of medicine ➡️ https://nvda.ws/472SEF9
NVIDIA Data Center reposted this
"We’re now in graphics 3.0—ray tracing, rasterization, and now, everything superpowered by AI." — Ming-Yu Liu, VP of Research, Deep Imagination Lab at NVIDIA. Hear Ming-Yu, along with our research leaders Sanja Fidler and Aaron Lefohn, explore how breakthroughs in computer graphics are fueling the rise of #PhysicalAI at #SIGGRAPH2025. 📺 Missed it? Watch the full special address here → https://nvda.ws/4lwbDeK
Reality Defender, an #NVIDIAInception member, is empowering developers with their new SDK that democratizes deepfake detection. With NVIDIA #acceleratedcomputing technologies, they're achieving: ✅ 2.5x performance gains for their audio models — trained on NVIDIA H100 GPUs ✅ Faster model inferencing, streamlined scaling, and support for multimodal inputs across visual and voice with NVIDIA Dynamo-Triton Learn more ⬇️
⚡As AI models grow, serving them efficiently at scale becomes a #datacenter challenge — especially when meeting strict service level objectives (SLOs) like time-to-first-token and inter-token latency. Disaggregated serving can help by separating the different phases of inference across distinct GPUs, but it takes smart orchestration to maximize utilization without missing performance targets. That's where #opensource NVIDIA Dynamo comes in —enabling large-scale, distributed model serving to consistently meet performance objectives. 🔗 Learn more about NVIDIA Dynamo: https://nvda.ws/45cN9m2
How can you use GPUs efficiently with disaggregated serving? Here's how NVIDIA Dynamo and its open-source planner help you serve models at large scale while meeting your service level objectives (SLOs), like time to first token and inter-token latency. Learn More ➡️ https://nvda.ws/45cN9m2
🏭 Get ready for a deep dive on how our #acceleratedcomputing platform is reimagining the data center at #HotChips2025. We're hosting four sessions that highlight our latest innovations: ⚡NVIDIA ConnectX-8 SuperNIC: A Programmable RoCE Architecture for AI Data Centers 🔥 RTX 5090: Designed for the Age of Neural Rendering 🎯 Co-Packaged Silicon Photonics Switches for Gigawatt AI Factories 🖥️ NVIDIA’s GB10 SoC: AI Supercomputer On Your Desk Learn more now ➡️ https://nvda.ws/4mreves
NVIDIA Data Center reposted this
Maximize AI training performance across multiple data centers with automatic topology awareness and optimized network paths. NCCL's new cross-DC feature makes scaling distributed workloads easier and optimizes performance with minimal major workflow changes Read the tech blog ➡️ https://nvda.ws/4ojLfrj