DDN

Day 2 of #NVIDIAGTC did not disappoint! 👏 The energy across the show floor and GTC Park was incredible, made even better by the chance to connect with customers, partners, and friends across the HPC and AI community. Swing by DDN Booth #1621 and the AI Factory on Wheels for live demos and deep dives with our team. @nvidia @Supermicro

The AI Factory on Wheels is turning heads for a reason 🔥 From AMECA to live demos, this is where AI infrastructure comes to life at #NVIDIAGTC. Don’t miss your chance to step inside, meet AMECA, and get a firsthand look at how DDN is powering the data intelligence behind modern AI factories. Come see the buzz for yourself!

.@DDNintelligence outdoors booth on market street during #GTC26. DDN a next gen storage company for AI and HOC era, check em out!

Day 3 of #GTC and the heat kept rising 🔥 From the show floor, @GemmaAllenSays talks with leaders across the ecosystem to check the pulse on #NvidiaGTCAI — from startup momentum and major announcements to the partnerships and technologies shaping what’s next. Don’t just take our word for it — hear directly from @sarbjeetjohal of @StackpaneSF, Taryn Anderson of @Microsoft, Paul Bloch of @DDNintelligence, Savita Raina of @nebiusai, and @czech_pawel of @nativelyapp. “AI has actually brought back the mojo of Silicon Valley,” says Johal. 🚀 Follow theCUBE.net for more coverage: thecube.net/events/nvidia/… #SiliconValley #Innovation @furrier

Aleria and @DDNintelligence, announce the adoption of the NVIDIA Omniverse DSX Blueprint to bring sovereign AI factories at a national scale. A complete, production-validated reference architecture delivering auditable, sovereign AI infrastructure for governments and enterprises. Here is what it will look like in practice : @nvidia creates the virtual factory. Power, cooling, compute, and throughput are validated in Omniverse DSX before construction begins. The simulation runs continuously through live operations, optimizing in real time. Aleria governs what the factory produces. The Aleria Data Fusion platform unifies national data from every sector into a single governed foundation. The Aleria Operating System powers sector and entity digital twins federated into a single nation-wide view, with full auditability, policy enforcement, and data residency enforced at every layer. The result is a truly sovereign AI factory at national scale. Trusted, governed, and defended. #GTC26 #NVIDIAGTC #DDN #Aleria #SovereignAIFactory

Inside the DDN AI Factory Bus at #NVIDIA GTC, Aleria is demonstrating how sovereign AI is built across the full stack. Visitors can explore our platform on an interactive screen to navigate our Sovereign AI architecture, and view deployed use cases across five integrated layers: • Aleria Infrastructure • Aleria Cloud • Aleria Big Data Fusion • AIeria AI Models - Agentic, Computer Vision and Voice • Aleria Applications - AI Employees, Board Observer, Super Apps and Agent Marketplace If you are attending NVIDIA GTC, step inside the bus and experience our platforms firsthand. #GTC26 #NvidiaGTC @DDNintelligence

DDN Infinia with @nvidia cuVS is redefining vector indexing for scalable RAG 📈 As enterprises build larger AI factories, RAG pipelines are expanding to tens and hundreds of millions of embeddings. The challenge is no longer just generating embeddings. It is ingesting and indexing them fast enough to keep knowledge bases fresh, accurate, and useful for AI agents. That is exactly where DDN Infinia with NVIDIA cuVS changes the game. In recent testing with Milvus 2.5 and data hosted on DDN Infinia, we ingested up to 106M embeddings, representing nearly 2TB of multimodal data, and saw dramatic gains from GPU-accelerated vector indexing at scale: ⚡ 14.7x faster indexing for 33M embeddings with 1x NVIDIA L40S vs CPU-only ⚡ 12.5x faster indexing for 106M embeddings with 1x NVIDIA L40S ⚡ 11.6x faster indexing with 1x NVIDIA RTX PRO 6000 vs CPU ⚡ 18.4x faster indexing with 2x NVIDIA RTX PRO 6000 vs CPU But this is bigger than a GPU story. DDN Infinia + NVIDIA cuVS deliver the foundation for fast updates, scalable retrieval, and high-performance AI pipelines built for real-world production. Learn more: bit.ly/3NxnYEH

Come with us to #NVIDIAGTC! 👋 Catch us on the show floor, join our booth theater sessions, and chat with the DDN experts powering the world’s most advanced AI and HPC systems. Don’t just hear about it. Be there. 👉 Booth #1621 or the AI Factory in GTC Park!

DDN has launched IndustrySync Pipelines to help enterprises deploy AI Infrastructure in days instead of months. 👏 These pre-integrated, production-validated workflows are available now for DDN HyperPOD deployments, with planned expansion to DGX, HGX SuperPOD, and sovereign AI factory environments. Designed as a flexible, extensible foundation, IndustrySync Pipelines adapt to your environment, data, and workflows so teams in Financial Services and Life Sciences can move faster with AI Infrastructure that is ready for real-world impact. Apply for the 90-day early adopter program today to see how IndustrySync Pipelines can help your organization deploy faster, scale smarter, and get to production in days. Get the details: bit.ly/3OXgn2J

🎥 A quick hello from our Director of Enablement, Jainarine (Kevin) Kissoon ✌🏾 — welcoming you to our booth at #NVIDIAGTC! We’re gearing up for an afternoon of sharp insights and great booth demos. Come ready to swap ideas, meet the builders behind real AI outcomes, and see how data intelligence turns pipelines into results. 🤝 Planning your week? Book time with our team: bit.ly/4uc55aT See you soon at the AI Data Summit later today! 🙌 #NVIDIAGTC

We Kicked off #NVIDIAGTC with an incredible Jensen Huang keynote watch party at the DDN AI Factory on Wheels 🚌 Thanks to everyone who came to watch the keynote, talk AI infrastructure, and see how the DDN AI Data Intelligence Platform powers the data plane behind the world’s most advanced AI factories. If you’re at GTC this week: 📍 Visit us at Booth #1621 🚌 Stop by the AI Factory on Wheels in GTC Park 🤝 Meet the team and see how DDN keeps GPUs fed and AI running at full speed

AI infrastructure is entering a new era. DDN CEO Alex Bouzari joined theCUBE + NYSE Wired and industry leaders to discuss one of the biggest shifts happening in AI right now: the challenge is no longer just compute and power. It is data. As AI infrastructure scales worldwide, the ability to move, store, and serve data efficiently is becoming foundational to AI success. GPUs may drive the workload, but data is what keeps the entire system running. That is where DDN comes in. DDN is powering the data engine behind the AI economy, helping organizations build the high-performance, scalable infrastructure needed to turn AI investment into real outcomes. One of the biggest takeaways from the discussion: over the last 24 months, the foundational infrastructure for AI has rapidly taken shape. Now the focus turns to how that infrastructure is used to deliver value at scale. Watch the full conversation from SiliconANGLE & theCUBE ahead of #NVIDIAGTC: bit.ly/4sQfFmw Heading to GTC? Visit DDN at booth #1621 + Meet us in GTC Park. #NVIDIAGTC #NYSEWired

The GPUs may be the engines of AI factories, but the data layer decides whether they run at full speed or sit idle. 💪 Join DDN and NVIDIA at hashtag #NVIDIAGTC for a deep dive into the architecture powering next-generation AI infrastructure. 🎤 Unlocking Data at Scale for AI Factories with NVIDIA & DDN 🗓️ 9:00–9:40 AM Hear from: • James Coomer, SVP of Products, DDN • Jacob Liberman, Director, Enterprise Product, NVIDIA In this session, they’ll break down how data architecture built on the NVIDIA AI Data Platform reference design drives GPU efficiency, reduces energy and cooling demands, and enables high-performance RAG and multi-modal AI workloads. If you’re building or operating an AI factory, this conversation will highlight the design patterns, and pitfalls, that determine whether your AI infrastructure scales or stalls. 🎟️ Add this session to your GTC Schedule: bit.ly/4ltN0B5

Sovereign AI changes the rules for how AI infrastructure is built. 🏗️ World models require massive memory, long-horizon reasoning, and continuous access to data. But when sovereignty, governance, and cost-per-token matter, GPUs alone can’t solve the problem. The architecture of the data layer becomes the real scaling factor. Join DDN and NVIDIA to explore how AI factories extend intelligence beyond the GPU—using data intelligence architectures with native multi-tenancy, KV cache acceleration, and hybrid cloud control to support world models at scale. You’ll walk away with practical design patterns for building NVIDIA-accelerated AI factories that deliver ultra-low latency, high concurrency, and policy-driven governance—without sacrificing performance or sovereignty. 🗓 Wednesday, March 18 ⏰ 4:00 – 4:40 PM 🎤 Session: Sovereign World Models: Scaling AI Memory, Data Gravity, and Governance Beyond the GPU Speakers: Victor Ghadban (DDN) and Shilpa Kolhatkar (NVIDIA) Learn more: bit.ly/4s4qvVM

You heard it here first — from our Global Director of Sales Enablement, Jainarine (Kevin) Kissoon ✌🏾 If you've been waiting for your sign to grab your ticket to DDN's AI Data Summit at GTC, this is it. ​🎟️ bit.ly/3Nem6k4 ​ Join us on March 16th for an inside look at how DDN is re-imagining the limits of performance, scale, and efficiency. ​ Join us in GTC Park for an exclusive look inside Driving AI Breakthroughs with Supermicro and NVIDIA, the first fully operational, turnkey AI Factory on Wheels. Reserve your spot in the driver’s seat: bit.ly/4r79fhs​ See you there! #NVIDIAGTC

Think you know what powers an AI Factory? 🧠​ Stop by Driving AI Breakthroughs in GTC Park and visit the AI Factory on Wheels from DDN, Supermicro, and NVIDIA.​ Take the AI Factory knowledge challenge, win prizes, and see what “built for real ROI” actually looks like in a turnkey, hands-on experience.​ Book a meeting + live demo with DDN during GTC: bit.ly/3Nfx48P #NVIDIAGTC NVIDIA GTC

Sovereign AI changes the rules for how AI infrastructure is built. 🏗️ World models require massive memory, long-horizon reasoning, and continuous access to data. But when sovereignty, governance, and cost-per-token matter, GPUs alone can’t solve the problem. The architecture of the data layer becomes the real scaling factor. Join DDN and NVIDIA to explore how AI factories extend intelligence beyond the GPU—using data intelligence architectures with native multi-tenancy, KV cache acceleration, and hybrid cloud control to support world models at scale. You’ll walk away with practical design patterns for building NVIDIA-accelerated AI factories that deliver ultra-low latency, high concurrency, and policy-driven governance—without sacrificing performance or sovereignty. 🗓 Wednesday, March 18 ⏰ 4:00 – 4:40 PM 🎤 Session: Sovereign World Models: Scaling AI Memory, Data Gravity, and Governance Beyond the GPU Speakers: Victor Ghadban (DDN) and Shilpa Kolhatkar (NVIDIA) Learn more: bit.ly/4s4qvVM

Want to chat with a humanoid robot? Yes, really. 🤖​ Meet AMECA at Driving AI Breakthroughs, the joint AI Factory experience from DDN, Supermicro, and NVIDIA, debuting at #NVIDIAGTC 2026.​ Stop by the AI Factory on Wheels in GTC Park for a hands-on look at how real, turnkey AI infrastructure is built for GPU efficiency and measurable ROI.​ Complete a demo with DDN and our cloud partners — Vultr, QumulusAI, and Global AI — for a chance to take home a LEGO Smart Play Kit featuring Luke’s Red Five X-Wing.​ Book a 1:1 meeting now: bit.ly/4r79fhs

The GPUs may be the engines of AI factories, but the data layer decides whether they run at full speed or sit idle. 💪 Join DDN and NVIDIA at #NVIDIAGTC for a deep dive into the architecture powering next-generation AI infrastructure. 🎤 Unlocking Data at Scale for AI Factories with NVIDIA & DDN 🗓️ 9:00–9:40 AM Hear from: • James Coomer, SVP of Products, DDN • Jacob Liberman, Director, Enterprise Product, NVIDIA In this session, they’ll break down how data architecture built on the NVIDIA AI Data Platform reference design drives GPU efficiency, reduces energy and cooling demands, and enables high-performance RAG and multi-modal AI workloads. If you’re building or operating an AI factory, this conversation will highlight the design patterns, and pitfalls, that determine whether your AI infrastructure scales or stalls. 🎟️ Add this session to your GTC Schedule: bit.ly/4ltN0B5

GPUs don’t create AI breakthroughs on their own. Data infrastructure does. Listen as Paul McLeod from Supermicro shares how Supermicro and DDN work together to deliver AI infrastructure built for GPU-accelerated environments — highlighting fast deployment, seamless GPU integration, and the familiar parallel file system experience AI teams rely on for training at scale. Watch the full session to see how Supermicro and DDN are helping organizations deploy GPU-ready AI infrastructure faster: bit.ly/4rSqsw7