Nvidia Corp.‘s latest networking innovations meet the needs of a new kind of network that supports the unique demands of artificial intelligence factories. Ethernet is no longer a generic plumbing choice but an enabler of high-performance AI. With today’s unveiling of Multipath Reliable Connection, or MRC, on Spectrum-X Ethernet, Nvidia is pushing Ethernet even deeper into AI-native territory — and doing so in partnership with OpenAI Group PBC and Microsoft Corp.
Tag: Nvidia
Nvidia Corp. and Google LLC used the search giant’s annual Cloud Next event to deepen their long-running partnership, creating a full-stack “artificial intelligence factory” that integrates Google’s AI Hypercomputer infrastructure with Nvidia’s latest solutions, including Blackwell, open models and agentic and physical AI tooling. With this announcement, Google expands its distribution of Nvidia’s accelerated computing stack, while customers gain a faster, lower-risk path from AI experimentation to large-scale deployment.
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From GPUs to AI factories: Inside the Nvidia-Google Cloud superstack
For years, the “wall” between storage and networking administrators has been a fixture of the enterprise data center. I spent the early part of my career as a network engineer and the arena of storage was a bit of a black box, and for most companies, that’s still the case. This is because these networks operated differently.
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The convergence of context: Why Nvidia’s BlueField-4 STX marries the network and storage admin
As an industry, healthcare tends to be slow-moving and significantly behind others. There are many reasons for this, including budgets, availability of technology and the fact that any errors in healthcare can result in lost lives. Healthcare transformation has been a big part of past Nvidia GTC conferences, and it was again this year.
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The AI workforce is now ‘hirable’: How Nvidia is rewiring healthcare from the inside out
The initial phase of the artificial intelligence gold rush was defined by “The Build.” Hyperscalers and model builders raced to secure every available Nvidia Corp. H100 GPU, constructing massive, centralized cathedrals of compute. But as the industry descends from the peak of inflated expectations toward real-world utility, the conversation is shifting. AI is moving from the lab to the factory floor, the retail aisle and the telco edge.