
DDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. From hyperscalers and next-gen cloud builders to enterprises, governments, and research institutions, DDN delivers proven data intelligence at exabyte scale across hundreds of thousands of GPUs—so customers can deploy AI with confidence, accelerate time-to-value, and realize outsized returns.
解锁市场时间线与信号动态
最近 90 天内有 9 个信号。
该公司进入各个市场的顺序 — 从最早到最新
Sales Account Executive
Distributed File Systems Engineer
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DDN 的国际扩张与竞争对手的对比情况
条形图显示所对比公司之间的相对规模。
列5| 公司 | 市场 | 新市场 | 势头 | 活动 | 扩张评分 |
|---|---|---|---|---|---|
DDN你 | 6 | 0 | 0% | 8 | 31 |
Client Director DACH
查看职位Germany · 5天前
TA Partner
查看职位Pune/Pimpri-Chinchwad Area · 5天前
Account Executive
查看职位France · 上周
AI success depends on more than compute power.Salesforce improved training speed, increased GPU utilization, and reduced costs by removing storage bottlenecks with Google Cloud Managed Lustre powered by DDN EXAScaler.Key outcomes:• 75% reduction in I/O latency• 1.5× faster model training• 70% increase in GPU utilization• 42% reduction in training costsSee how leading enterprises are building AI infrastructure designed for scale. ...
已结束Why AI Performance Starts with Data: How Salesforce Eliminated GPU Bottlenecks with DDN and Google Cloud
已结束Agentic AI systems are redefining infrastructure requirements.It’s no longer just about storage or compute, it’s about how data moves, persists, and interacts in real time.Key capabilities now include:⚡ High-throughput data pipelines⚡ Persistent memory layers⚡ Low-latency retrieval across knowledge stores⚡ Tight coupling with GPU processingThe NVIDIA STX reference architecture reinforces this shift. ...
已结束超微电脑2025年开放存储峰会扩大规模,包括9个环节、23家公司和40位演讲者,重点关注人工智能工作负载和存储解决方案。
超微电脑宣布2025年开放存储峰会,聚焦AI工作负载和存储解决方案,共有9个研讨会、40位讲者和23家公司参与。
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