James Coomer

[James Coomer @James_DDN]

https://t.co/XKadDpn3PQ

[DDN @DDNintelligence]

From the floor of the NYSE 📍

DDN is proud to welcome Mohsen Moazami as Vice Chair. His global leadership across tech, investment, and capital markets will help power our next phase of growth—expanding sovereign engagement and delivering real-world AI at scale.

Thank you to the @NYSE for sharing this milestone.

[James Coomer @James_DDN]

https://t.co/7KrNUNSJv6

[DDN @DDNintelligence]

Reston showed up for the HPC User Forum! 👏

Hosted by Hyperion Research, the event spotlighted how HPC and AI are advancing from data center buildouts to real applications.

DDN’s James McKenna, Ryan DeLone, Chris Harrison, Matt Flynn, and Rich Arena connected with leaders and researchers to share AI Infrastructure strategies that drive performance and scale.

[DDN @DDNintelligence]

If customers aren't seeing ROI they will drop you like a hot potato. 🥔

Jyothi Swaroop, CMO at DDN, sat down with John Furrier of @SiliconANGLE & @theCUBE to unpack why DDN keeps winning in AI Infrastructure. They cover how scalability, performance, and trust translate into measurable ROI across long-running deployments, from HPC roots to today’s AI workloads.

Watch the conversation to learn the ROI playbook for AI Infrastructure, the metrics that matter, and how leaders are proving value at scale. 👇

Get the full interview here: https://t.co/SE4UC1Itfr

@NYSE Brian J. Baumann #NYSEWired #NYSE David Vellante

[DDN @DDNintelligence]

Paying $0.09/GB just to run risk and compliance in the cloud across 10-20 TB per day? That adds up fast...

DDN shows how teams can run analytics where the data already lives, skip costly transfers, save up to 11x on egress, and shrink three-hour jobs to under three minutes, with built in WORM, audit logs, SR 11-7 readiness, and about 95% GPU utilization.

Swipe to learn how to build AI Infrastructure for real-time risk insights, minimize data movement, and deliver hundreds of GB/s without moving data. ⬇️

[DDN @DDNintelligence]

DDN is gearing up for Euro-Par 2025. Come meet us in Dresden!

The 31st International European Conference on Parallel and Distributed Computing brings together top researchers, practitioners, and industry leaders to explore the latest in HPC — from architectures and compilers to large-scale systems and real-world applications.

DDN will be there as a Silver Sponsor, represented by Joerg Heydemueller and Jean-Thomas Acquaviva.

📅 August 25–29
📍 Dresden, Germany

Come meet our team and see how DDN powers the world’s most demanding parallel and distributed computing workloads.

[James Coomer @James_DDN]

https://t.co/m04p60Myyp

[DDN @DDNintelligence]

🎥 Heading to Paris for the RAISE AI Summit? Start your week with a powerful advantage.

🚀 Join DDN, Google Cloud, and NVIDIA for the Beyond Artificial: AI Data Summit — a private, executive-level event focused on real-world strategies for scaling AI with data.

📍 Monday, July 7 | Paris
🎯 Get hands-on insights into AI infrastructure powered by NVIDIA DGX™ systems, Tensor Core GPUs, and Intel® Xeon® processors — designed to drive real results.

💡 Practical insights. Executive leadership. AI at scale.

⚠️ Space is extremely limited. Request your invite now:
👉 https://t.co/p6Z9Qn5534

#RAISEAISummit #BeyondArtificial #AIDataSummit #DDN #AIInfrastructure #DataDrivenAI #NVIDIA #GoogleCloud #Paris2025 #AIInnovation

[James Coomer @James_DDN]

https://t.co/Fj6u6PaG4O

[James Coomer @James_DDN]

https://t.co/da7LtK5e57

[James Coomer @James_DDN]

https://t.co/ix1t1v7Oya

[DDN @DDNintelligence]

🚀 RAG is redefining enterprise AI—and DDN is powering it.

We're proud to join the NVIDIA AI Data Platform initiative, delivering a high-performance foundation for fast, accurate, and scalable Retrieval-Augmented Generation (RAG) pipelines.

📍 What makes it work?
⚡ DDN Infinia + NVIDIA NIM + Milvus vector DB
⚡ 21.75x faster indexing
⚡ 6.6x faster RAG response time
⚡ Built-in governance, real-time ingestion, hybrid deployment

🔍 In a real-world demo, we turned vague chatbot answers into domain-specific intelligence—in seconds. That’s the power of AI-ready data infrastructure built for scale.

Read how DDN and NVIDIA are accelerating enterprise AI from training to inference:
👉 https://t.co/74ZhZDSPXl

#DDN #NVIDIA #AIInfrastructure #RAG #EnterpriseAI #DataPlatform #Infinia #LLM #VectorSearch #GenAI #AIDataPlatform #A3I #GPUAcceleratedAI #HybridCloud #NIM #Milvus #DGX #AIReady

[James Coomer @James_DDN]

https://t.co/YoK7GeZGck

[DDN @DDNintelligence]

AI is transforming business — but is your infrastructure ready?

Cloud may get you started, but when data gravity hits, agility alone isn’t enough. As AI workloads grow larger and more complex, enterprises need purpose-built infrastructure that can scale, accelerate, and sustain next-gen performance.

💡 In our latest white paper, we break down:
✅ The real cost of scaling AI in the cloud
✅ Why data gravity changes the game
✅ How hybrid and on-prem architectures deliver smarter ROI
✅ What makes DDN + NVIDIA the proven AI infrastructure solution

📉 Don’t let your AI strategy stall at scale.
📥 Download now to see why leaders are rethinking their stack:
👉 https://t.co/hG2wklqGnl

#AIInfrastructure #DataGravity #HybridCloud #AIAtScale #DDN #NVIDIA #A3I #Enterprisetech #AITransformation

[DDN @DDNintelligence]

🚗💡 Self-driving cars aren't just about flashy sensors and cutting-edge algorithms — they're about speed, scale, and smart infrastructure.

In the race to autonomy, the real differentiator isn’t just AI… it’s data intelligence.

From perception and prediction to simulation and deployment, AVs generate massive volumes of data — and moving that data fast enough to fuel real-time learning is the game-changer.

That’s where DDN Infinia comes in:
⚡ Terabytes per second of throughput
🧠 Unified data pipelines with sub-millisecond latency
🌐 Seamless edge-to-core data movement
🛠️ Built for AI-driven automotive innovation from the ground up

Read how DDN is helping leaders like Tesla, Ford, and Aurora accelerate the future of autonomous vehicles:
��� https://t.co/q4qmOvwhgl

#AutonomousVehicles #AI #DataIntelligence #SelfDrivingCars #AV #DDNInfinia #EdgeComputing #Simulation #AIInfrastructure #MLOps #SmartData

[DDN @DDNintelligence]

🤖 Agentic AI is the next frontier—but there’s a critical infrastructure gap.

New analysis from SiliconANGLE & theCUBE Research highlights a growing challenge: while LLMs are rapidly evolving into autonomous agents, the underlying data infrastructure often can't keep up.

In our latest blog, we break down what agentic AI really means, why it demands a fundamentally different approach to performance and scalability, and how DDN is helping close the gap with intelligent, high-speed data platforms.

🔍 If you're building AI systems that think, decide, and act—this is a must-read.

📖 Read now: https://t.co/JTuvMIVMvM

#AgenticAI #DataIntelligence #AIInfrastructure #DDN #GenAI #theCUBE #LLM #AIInnovation

[James Coomer @James_DDN]

DDN is built for Efficiency at any Scale https://t.co/zgReVRbakv

[DDN @DDNintelligence]

👟 In the Shoes of an AI Platform Engineer:

✅Scaling today’s models
📈Planning for tomorrow’s data explosion
💥Fighting yesterday’s storage bottlenecks

What they really need:

👉 A platform built for speed, scale, and AI demands — like DDN Infinia ➕ EXAScaler.

[James Coomer @James_DDN]

Data Power for Google AI https://t.co/j4tIgsLA6Z

[DDN @DDNintelligence]

🚀 DDN EXAScaler Powers Google Managed Lustre for Cutting-Edge AI Workloads!

We’re thrilled to see how DDN EXAScaler is transforming AI workloads through its integration with @Google Cloud's Managed Lustre. As introduced by Dan Eawaz, Senior Product Manager at Google Cloud, Managed Lustre is a fully managed parallel file system built on DDN EXAScaler that meets the demanding needs of data preparation, model training, and inference for AI.

🔹 Key Benefits:
✅Optimized for GPUs/TPUs: Keeps them fully utilized with high throughput, enabling rapid reads/writes for checkpoints.
✅Seamless Cloud Transition: Customers can move workloads to the cloud without re-architecting, optimizing TCO.
✅Scalable & Efficient: Starts from 18TB to petabyte scale with sub-millisecond latency and an initial throughput of 1TB/s.

🔹 Fully Managed Service:
✅99.9% availability SLA
✅Easy integration with Google Compute Engine (GCE) & Google Kubernetes Engine (GKE)
✅Built for data batch transfer to/from Google Cloud Storage
✅POSIX-compliant and integrates with Slurm via the cluster toolkit

Google Cloud Managed Lustre with DDN EXAScaler ensures that AI teams have the reliable, high-performance infrastructure they need to power innovation at scale.

🌟Catch Dan Eawaz’s full presentation here: https://t.co/XthnZ0OvB2

#AI #DataIntelligence #CloudComputing #GoogleCloud #Lustre #DDNEXAScaler #ManagedLustre #AIInfrastructure #MachineLearning #DataStorage #TechInnovation

[DDN @DDNintelligence]

📈 AI isn’t slowing down. Neither should your infrastructure.

As enterprise AI adoption explodes, scaling becomes the name of the game—faster models, bigger datasets, more pressure on your systems. 💥

In our latest blog, we break down what it really takes to support next-gen AI at enterprise scale—from agile infrastructure to intelligent data strategies. 🧠💡

🔹 Real-world examples
🔹 Key scalability insights
🔹 Tips to future-proof your AI investments

If you’re serious about scaling AI (without breaking your stack), this one’s for you.

👉 Read the blog: https://t.co/uUzZEDy0yY

#EnterpriseAI #AIInfrastructure #DDNAcceleratesAI #DataIntelligence #ScalableAI #AIatScale #FutureReadyAI #GenAI #MachineLearning #TechStrategy