Amanda Ruth Lee

Minneapolis, your next AI breakthrough just pulled up. 🚌 Day one of #PEARC26 is underway, and the DDN AI Factory on Wheels is ready for visitors at booth #504 (you can't miss us). Step aboard to see how scalable AI and HPC infrastructure helps research teams turn complex data into discovery. Stop by the bus, meet the DDN team, and explore the AI Infrastructure powering what comes next: bit.ly/4ghZtqV @PEARC_Conf

⚠️ Reminder: Mark your calendar for this session at PEARC26! DDN's Morris Skupinsky, Principal Solutions Engineer, will present “Reduce Recompute and Token Waste by Enabling Effective LM Cache with DDN.” He will explain how LM Cache can save evicted tokens, expand context windows, reduce power use per prompt, and help right-size GPUs for each workload. 🗓️ July 29 ⏰ 10:25 AM CDT 📍 Meet DDN at Booth #504 🔗 Book a meeting → bit.ly/4ghZtqV #PEARC26 #AIInfrastructure @PEARC_Conf

Day two is underway at #PEARC26 🚌 Stop by Booth #504 to tour the DDN AI Factory on Wheels and see how scalable AI and HPC infrastructure helps research teams move from data to discovery. 🔗 Book a meeting → bit.ly/4ghZtqV

Keep GPUs productive and AI economics moving at AI4. ⚡ DDN's Brian McCloskey, VP of Strategic Accounts, will present “The Data Engine Powering the AI Economy” at the Vultr Theatre during Ai4 - Artificial Intelligence Conferences . He will share how enterprises, AI-native labs, and sovereign AI programs can improve GPU utilization, reduce cost per token, and turn AI Infrastructure into a profitable, productive asset. 🗓️ Tuesday, August 4 🕟 4:30 PM PDT 📍 Vultr Theatre ➡️ Join the session to learn how the right data engine can accelerate AI performance, efficiency, and scale.

DDN and NVIDIA are collaborating to advance GPU-initiated data access for next-generation AI 🤝 The companies are working together to create a faster, more efficient connection between NVIDIA accelerated computing and the DDN Infinia data intelligence platform. By enabling GPUs to access the data they need more directly, the collaboration is designed to reduce delays, keep valuable computing resources productive, and accelerate the delivery of AI-driven outcomes. “AI success will increasingly be measured not by how much infrastructure an organization owns, but by how productively it uses that infrastructure,” said Sven Oehme, Chief Technology Officer at DDN. “Our work with NVIDIA is focused on helping customers keep their GPUs working, accelerate time to insight, and improve the economics of AI at scale. By reducing the friction between compute and data, we can help organizations generate greater value from every accelerator, watt, and dollar invested.” Read the announcement here → bit.ly/4gaLYZG

Cut recompute, reduce power use, and get more from every prompt. 🔁 DDN's Morris Skupinsky, Principal Solutions Engineer, will present “Reduce Recompute and Token Waste by Enabling Effective LM Cache with DDN.” He will explain how LM Cache can save evicted tokens, expand context windows, reduce power use per prompt, and help right-size GPUs for each workload. 🗓️ July 29 ⏰ 10:25 AM CDT 📍 Meet DDN at Booth #504 🔗 Book a meeting → bit.ly/4ghZtqV #PEARC26 #AIInfrastructure

The fastest path to real-world AI value may start in a virtual one. In conversation with Taryn Southern, DDN CEO and co-founder Alex Bouzari explains how enterprises can use the Omniverse to test ideas, reduce risk, accelerate experimentation, and reach business outcomes faster. Get the full conversation → bit.ly/4tcnYZN

Idle GPUs do more than hurt ROI. They slow down scientific progress. During his keynote at the DDN AI Data Summit, Alex Bouzari, CEO and Co-Founder of DDN, explained why maximizing GPU utilization is critical for both enterprise economics and high-performance computing. DDN helps organizations optimize AI Infrastructure so researchers can run more complex simulations, accelerate discovery, and get more value from every GPU. Watch the full keynote to learn how better AI Infrastructure can reduce wasted compute and keep innovation moving forward → bit.ly/4wkwRCQ

DDN is proud to collaborate with @nvidia in support of the Naval Postgraduate School (NPS). AI is rapidly becoming a strategic capability for defense organizations, transforming how military leaders plan missions, respond to disasters, model complex ocean environments, and advance autonomous maritime systems. At NPS, students and faculty are applying AI through hands-on research, interdisciplinary collaboration, and real-world experimentation to address critical challenges facing the U.S. Navy and Joint Force. This collaboration brings together: 🔹 NVIDIA accelerated computing and AI software for advanced model development, simulation, and decision support 🔹 DDN AI Infrastructure to help researchers securely access, manage, protect, and scale the data behind every AI application 🔹 NPS research and operational expertise to turn academic innovation into real-world impact Together, NVIDIA and DDN provide complementary technologies that allow organizations like NPS to focus on innovation rather than infrastructure complexity. Learn more → bit.ly/458QDVH #NVIDIADGX @NPS_Monterey

The most expensive thing in AI? Forgetting. 🧠 Every time a user steps away from a long AI session — a 100-page contract analysis, a multimodal deep dive — that hard-won context gets evicted from GPU memory. When they return, the model doesn't just reload. It recalculates. Every logical relationship. From scratch. Google Cloud Managed Lustre, powered by DDN EXAScaler, fixes this. Rather than evicting the KV cache, Managed Lustre captures the brain state of the conversation and persists it to storage. When the user returns, the GPU doesn't rethink — it just loads. Sub-second response. Zero wasted compute. At fleet scale, the impact is staggering. Standard architectures leave up to half your GPUs burning cycles on redundant math. With Managed Lustre, that waste disappears — every active GPU is doing productive work, slashing inference total cost of ownership by up to 50%. The customers already running on it are seeing it clearly: → Salesforce Research cut AI training costs by 42% and achieved 70% higher GPU utilization → Resemble AI achieved 100% GPU utilization and called Managed Lustre 6x faster than every other storage solution they evaluated → Google customers are seeing up to 95% TPU utilization and ~25% cost savings at scale — roughly $25M saved for every $100M in infrastructure spend This is what it looks like when storage stops being the bottleneck. See it in action → bit.ly/491Z5bI

AI is opening the door to new career paths across every industry 🚪 On The Executive Stack, DDN Co-Founder and CEO Alex Bouzari joined Sajjaad Khader to share the top emerging job opportunities students and professionals should watch over the next five years. From industry-specific AI consulting to AI-driven data center construction and AI-powered software services, the future belongs to people who can turn AI capabilities into real enterprise value. Learn how AI is reshaping careers, infrastructure, and business transformation in the full episode: bit.ly/4wKclvY

AI inference doesn’t happen in a vacuum. It happens under pressure. 🌎 Join DDN’s Praveen Mallya, Principal Sales Engineer, at STAC Summit New York for a session on predicting AI inference efficiency in the real world. He’ll explore how enterprises can evaluate performance across realistic mixed workloads, where demand is dynamic, complexity is constant, and infrastructure has to keep up. 🗓️ May 20, 2026 🕒 2:40pm ET 📍 New York STAC Research #STAC #STACSummit

From ISC25 to ISC26 — a lot has changed. ⏩ HPC built the foundation. AI builds what's next. DDN connects the dots. Last year, the conversations on the show floor confirmed what we already knew — the organizations pushing the boundaries of discovery aren't waiting on compute. They're waiting on data. DDN is built to fix that. This June, come find us at booth #C31 during ISC High Performance 2026 and see how the world's most demanding HPC and AI workloads are eliminating data bottlenecks, maximizing GPU utilization, and moving from experimentation to production — faster and at scale. We'd love to connect. 🗓️ June 22–26 | 📍 Hamburg | DDN Booth #C31 Book a meeting ahead of the show → bit.ly/3QV86NL #ISC26 #ISC2026

Two drink tickets. A chance at Red Sox tickets. And world-class AI infrastructure. Not bad for a Wednesday. ⚾ Join DDN, Supermicro, and NVIDIA at Harpoon Brewery on May 20th — right in the middle of Bio-IT World — for a hands-on AI infrastructure experience that's anything but a typical vendor booth. We're bringing AI-ready data pipelines and AI factory environments to life. (And yes, the beer is real too.) Here's what's waiting for you: 🧠 Hands-on demos of cutting-edge AI infrastructure 🍺 Ace the Harpoon Beer Quiz → earn 2 drink tickets 🏆 First 50 guests take home a limited-edition etched pint glass ⚾ Register + attend for a chance to win Yankees vs. Red Sox tickets 📅 May 20, 2026 ⏰ 9:00am–5:00pm ET 📍 Harpoon Brewery, Boston Spots are limited. Grab yours now: bit.ly/4mwMfaQ

That feeling when your inference pipeline goes from 936 seconds to 2.5 👏 Not more hardware. Just smarter use of metadata. Hydrosat and the DaFab project just hit a 400x speedup — and the full breakdown is worth a read. 👉 bit.ly/4nGQ26j

Day one. Bio-IT World. Let's go. 🧬 DDN is on the ground in Boston today — come find us on the show floor at booth #713 and talk AI infrastructure, drug discovery, and what it actually takes to accelerate molecular screening by 100x. Then join us tonight at Harpoon Brewery to keep the conversation going. 🍺 See you there. Book a meeting → bit.ly/4fxxmUd Head to the AI Factory → bit.ly/4dB1iME #BioITWorld

Your typical Bio-IT session doesn't have this on tap. 🍺 We're live at Harpoon Brewery with DDN, NVIDIA, and Supermicro — and we brought the whole lab with us. Two live AI pipelines running right now: 💊 Drug discovery acceleration 🏥 Fast MRI analysis with AI This is what AI infrastructure looks like when it's actually working — not on a slide, not in a whitepaper. In person, at a brewery, today. 📅 May 20th | 9am–5pm ET 📍 Harpoon Brewery, Boston — right next to Bio-IT World Come see it for yourself → bit.ly/4mwMfaQ

AI factories are redefining how enterprises build, test, and launch AI. On the GTC Podcast, DDN's Alex Bouzari explains how DSX brings training, post-training, inference, and Omniverse workflows into one deployable AI factory. Whether in the data center or cloud, it helps organizations move faster from experimentation to real-world products and services. Listen to the full conversation → bit.ly/4tcnYZN