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
DDN Storage
Software Development
Chatsworth, CA 39,985 followers
The AI Data Storage Company
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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The current wave of machine generated Life Sciences data is providing insight to biological and chemical systems which will expand understanding, end suffering and drive funding for Genomics, Clinical and Pharmaceutical Research. However, data-Ingest, distribution and analysis of the machine generated data are adding a new layer of complexity, cost and derived inefficiencies. Learn how Helmholtz Munich is modernizing data management with a future-proof infrastructure for any additional AI applications. https://bit.ly/3WyykWP #LIfeSciences #AI #DataManagement
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Learn how DDN and Lambda can help you identify a solution tailored to your immediate needs for GenAI and LLM. With cloud-based and on-premises options that are 40% faster than other GPU-accelerated cloud platforms, get results in days rather than months. https://bit.ly/3MBY6DV #GenerativeAI #LLM #GPU
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The connection between accelerated computing and operational efficiency is indisputable. It’s not just the obvious things like how fast projects get completed or products get to market when AI is used. It’s also the impact of AI on data center efficiency… we’re talking about savings on things like hardware, energy, floor space and operating costs. It may not be intuitive, but getting AI systems to run faster actually makes data centers more energy- and cost-efficient – on-premises and in the cloud. Read more about harnessing accelerated computing for AI and LLM's 👉 https://bit.ly/4a6zqNs #AcceleratedComputing #GPU #LLM
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DDN & NVIDIA Collaborate To Leverage NVIDIA’s DGX SuperPOD™ Reference Architectures for Internal Development NVIDIA has created the data center for the age of AI and provides solutions that deliver breakthrough performance for workloads at any scale, driving business decisions in real-time and resulting in faster time to value. The result: simple linear scaling of performance, optimized for AI/ML workloads. Get the full story here: https://bit.ly/4ar5wUm #NVIDIA #DGX #GPU
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⭐ Exciting News! ⭐ We are proud to announce that DDN has earned its fourth “AI Hardware Innovation Award” at the 2024 AI Breakthrough Awards! This marks five consecutive years of recognition from AI Breakthrough, a leading market intelligence organization. Our new AI400X2 Turbo, introduced in early 2024, has been recognized for its exceptional performance, efficiently unlocking the full capabilities of GPU-based infrastructures. Designed for the most demanding AI environments, it accelerates production AI applications by 10x and enhances data center ROI by 30%. Learn more about our award-winning AI400X2 Turbo here: https://bit.ly/4eIgnMf #AI #AIAtScale #AIBreakthroughAwards #AITechnology
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DDN Helps Roche Get Unstuck from the Cloud with Genome Sequencing At Scale Being 100% cloud based worked fine early in their development, but after adding additional sensors and generating more data – up to 2PB every 24 hours – it became too cumbersome and slow to continue with that strategy. Roche understood they were facing a parallel data problem and chose NVIDIA GPUs as the parallel processing engine complemented by DDN A³I storage. This allows the information to be generated quickly, processed rapidly, and produce faster results more efficiently – enabling Roche to unlock early cancer detection when it matters most. Listen to how they did it: https://bit.ly/3wUFnyl #Cloud #GPU
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Researchers at UT Southwestern Medical Center utilize a powerful Cryo-Electron Microscope to quickly create three-dimensional structures that can be utilized by machine learning to recognize patterns and lead to faster discovery. The BioHPC department has orchestrated fast storage, fast compute and fast networking to provide researchers with an accessible infrastructure that is as easy to use as an online share drive. See how they are doing it: https://bit.ly/48ClrOL #Microscopy #AcademicResearch #DDNCustomers
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"DDN QLC systems are a really important part of that environment to get IO to our researchers as quickly as possible." Learn more: https://bit.ly/4e9Vnh9 #QLC #HighFrequencyTrading #FinServ
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Maximizing AI Potential and Mitigating Risks: The Power of the AI Center of Excellence In today’s rapidly evolving financial services industry, integrating artificial intelligence has become essential for gaining a competitive advantage and enhancing operational efficiency. However, the path to successful AI deployment at scale has its complexities, encompassing challenges such as data security, performance optimization, and resource management. Learn how to address this issue here: https://bit.ly/3SmkjrK #AI #DataStrategy #FinancialServices
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