Lambda selected DDN as their trusted partner for speed and reliability, and we're honored to be their go-to choice! At DDN, we recognize the critical role of swift and reliable data solutions. Our dedicated team has developed the only proven solution at scale, empowering our clients to concentrate on what truly matters – their business. Curious to learn more? https://bit.ly/41QpjJC #DataSolutions #DataManagement #DDNcustomers
About us
DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for data-centric organizations. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers. Data-intensive, global organizations utilize DDN to solve complex business challenges with: • 40% reduction in file access time • 100% GPU utilization • 100X faster application acceleration • Predictable growth at any scale • Less infrastructure and complexity • 20+ years of experience in data storage and management
- Website
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http://www.ddn.com
External link for DDN Storage
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Chatsworth, CA
- Type
- Privately Held
- Founded
- 1998
- Specialties
- Artificial Intelligence, Data Storage, Machine Learning, Analytics, Enterprise AI, High-Performance Computing, Genomics, Security, Data Science, and Generative AI
Locations
Employees at DDN Storage
Updates
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DDN is delighted to announce Mike Smith has joined the DDN team as our Field CTO. Welcome, Mike! Interested in joining our team? https://bit.ly/3y2HDoi #LifeatDDN
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🚀 Big News! 🚀 NVIDIA and DDN have teamed up to redefine AI infrastructure with unmatched efficiency and scalability. By seamlessly integrating NVIDIA BlueField DPUs into DDN EXAScaler and DDN Infinia, we're transforming AI-centric workloads like never before. This dynamic duo is set to: 💡 Supercharge AI workflows 💡 Turbocharge operations 💡 Maximize resource utilization 💡 Enhance multi-tenancy in AI environments Discover the incredible benefits of this powerhouse collaboration here 👉 https://lnkd.in/g4VNTbmN
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DDN is delighted to announce Balaji V. has joined the DDN team as the VP of Product Management. Welcome, Balaji! Interested in joining our team? https://bit.ly/3y2HDoi #LifeatDDN
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End the bottlenecks, complexity and headaches that derail your data infrastructure. Let DDN get you ahead with efficient speed and scale! Contact an AI Infrastructure specialist today 👉 https://bit.ly/46sK3HZ #DataStrategy #AIInfrastructure #DataDriven
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DDN is delighted to announce Ivan Poddubnyy has joined the DDN Engineering team as the Director, ExaScaler/Lustre Engineering. Welcome, Ivan! Interested in joining our team? https://bit.ly/3y2HDoi #LifeatDDN
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Chris (CJ) Newburn, a Distinguished Engineer at NVIDIA , dives deep into the considerations and implications of reliable LLM training models. Learn about essential strategies for optimizing efficiency and stability in LLM training, covering crucial aspects such as checkpointing, failure domains, storage infrastructure and management, interface optimization, and compute node proxies. ⭕Watch the full on-demand webinar: https://bit.ly/3SblGdw #GPU #NVIDIA #LLM
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The AI Data Factory: A Platform for Monetization A data factory? Seriously? That sounds like a way to generate even more data. Aren’t most of us already drowning in data? Well, yes, but that’s not exactly what we’re talking about. In fact, we want to help you use that data to swim like an Olympic champ, not drown in a sea of trivia. Dive in here: https://bit.ly/41SQ0gJ #AI #DataFactory #DataMonetization
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Want to Increase GPU Productivity by 25%? Learn to leverage checkpointing efficiency for Large Language Models with DDN 👇 https://bit.ly/3Qbofve #LLM #Checkpoints #GPU
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James Coomer, SVP Products at DDN Storage explains the point at which data storage system performance really starts to matter in large AI models. As you have exponential growth in CPUs for ingesting data, and memory footprints go up, watch for the subtle impact to the data path – suddenly performance has a very large impact on the AI model. Moving data more intelligently and efficiently is where the big gains can be seen. https://bit.ly/4dIAQzT #CPU #GPU #AImodels