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Pushed By GenAI And Front End Upgrades, Ethernet Switching Hits New Highs

8 January 2026 at 21:20

But virtue of its scale out capability, which is key for driving the size of absolutely enormous AI clusters, and to its universality, Ethernet switch sales are booming, and if the recent history is any guide, we can expect Ethernet revenues will climb exponentially higher in the coming quarters as well. …

Pushed By GenAI And Front End Upgrades, Ethernet Switching Hits New Highs was written by Timothy Prickett Morgan at The Next Platform.

Delivering Flexible Performance for Future-Ready Data Centers with NVIDIA MGX

15 December 2025 at 18:25
The AI boom reshaping the computing landscape is poised to scale even faster in 2026. As breakthroughs in model capability and computing power drive rapid...

The AI boom reshaping the computing landscape is poised to scale even faster in 2026. As breakthroughs in model capability and computing power drive rapid growth, enterprise data centers are being pushed beyond the limits of conventional server and rack architectures. This is creating new pressures on power budgets, thermal envelopes, and facility space. NVIDIA MGX modular reference…

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NVIDIA Blackwell Enables 3x Faster Training and Nearly 2x Training Performance Per Dollar than Previous-Gen Architecture

11 December 2025 at 19:20
AI innovation continues to be driven by three scaling laws: pre-training, post-training, and test-time scaling. Training is foundational to building smarter...

AI innovation continues to be driven by three scaling laws: pre-training, post-training, and test-time scaling. Training is foundational to building smarter models, and post-trainingβ€”which can include fine-tuning, reinforcement learning, and other techniquesβ€”helps to further increase accuracy for specific tasks, as well as provide models with new capabilities like the ability to reason.

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Next-Generation AI Factory Telemetry with NVIDIA Spectrum-X Ethernet

11 December 2025 at 19:03
As AI data centers rapidly evolve into AI factories, traditional network monitoring methods are no longer sufficient. Workloads continue to grow in complexity...

As AI data centers rapidly evolve into AI factories, traditional network monitoring methods are no longer sufficient. Workloads continue to grow in complexity and infrastructures scale rapidly, making real-time, high-frequency insights critical. The need for effective system monitoring has never been greater. This post explores how high-frequency sampling and advanced telemetry techniques…

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