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Creators are getting backlash for using AI. I went to a conference full of those who are proud of it.32m ago An ECG device in a doctor’s palm: Inside Scanbo’s AI heart-screening push1h ago From the Bayeux tapestry to Glastonbury: top tips and tricks to grab the hottest tickets1h ago LWiAI Podcast #258 - Opus 5.5, Sol and Luna, Muse, DeepSeek-V4.1-Flash, Xi1h ago Protected: DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling1h ago Meta, OpenAI and Uber Just Taught AI Agents to Talk First. What About When to Stay Quiet?2h ago IBM allows on-prem deployment of its Bob agentic development platform2h ago Industrial robots working in factories surpass 5M worldwide3h ago Your boss might be bluffing about how much AI knowledge they really have3h ago OpenAI says its review into hacks, including on Australian government sites, is costing $500,000 a day3h ago Prime Intellect Launches Prime Inference: Serverless and Reserved Serving for Frontier Open Models3h ago Anthropic turns to Hindu philosophy to teach Claude right from wrong3h ago Microsoft AI Releases MAI-Transcribe-2-Streaming: #1 Real-Time Speech-to-Text Model on Artificial Analysis4h ago AI's race to transform the world before the money runs out4h ago

Industry & Manufacturing Chips & Compute5 min reading time

NetApp and Nvidia rethink storage for AI factories

SiliconANGLEPublished 2 days ago

Read the full article

NetApp and Nvidia are collaborating to redesign storage architecture for AI factories, separating data and metadata management to optimize performance and GPU efficiency amid complex AI workloads. Their Novus architecture allows independent scaling of data and metadata to handle simultaneous heavy data movement and transactional activities without resource contention.

#ai-infrastructure #netapp #novus #nvidia

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