AI compute demand isn't slowing down, and neither is the ecosystem to support it. AI Clouds are built on NVIDIA’s full-stack, end-to-end AI factory platform. They’re expanding worldwide to bring accelerated computing closer to developers, enterprises, startups and nations
HARDWARE
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Everything You Need to Know About Inference Engines and Local LLMs
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Everything You Need To Know About
Inference Engines and Running LLMs Locally at Home Explains why Inference Engines exist in the first place
– Prefill is not Decode
– VRAM is not bandwidth
– Fit is not speed
– KV Cache is the real memory problem
– Quantization only matters if -
Apollo and Blackstone partnerships and Broadcom demand indicate AI market shift
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Partnering with the money guys such as Apollo and Blackstone is an ominous turn for a crazed AI infrastructure market. So is the “huge” demand for Broadcom’s services by Google and others well in advance of actual deployment of chips. Not the end of the road, but a potential
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SambaNova unveils disaggregated inference demo and SN50 RDU for AI agents
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Premium inference is powering the next generation of AI agents. First live disaggregated inference demo for AI agents New SN50 RDU purpose-built for agentic inference Faster, more efficient AI with industry-leading throughput See what's next for AI inference:
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NVIDIA DGX Spark updates boost agentic AI inference speeds 2.6x
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Is your infrastructure ready for the shift to agentic AI? Discover how the latest NVIDIA DGX Spark updates simplify local agent workflows and boost inference speeds by up to 2.6x using NVIDIA NemoClaw. Read the blog: https://
nvda.ws/4uPi16d -
We are in the recursive era of AI according to Cerebras
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We are in the recursive era of AI. Cerebras wrote an article about this from a hardware perspective in March: https://cerebras.ai/blog/why-the-ai-race-shifted-to-speed …
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The Recursive Era of AI: Fast Inference and Accelerated Development per Cerebras
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We are in the recursive era of AI.
Faster inference => faster AI development.
Our take on this from a hardware perspective:
https://cerebras.ai/blog/why-the-ai-race-shifted-to-speed
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Photon-driven synapse boosts low-power neuromorphic systems
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Photon-driven synapse advances low-power neuromorphic systems
by SPIE @TechXplore_com Learn more: https://
bit.ly/4vj71Ov #EmergingTech #FutureTech #Innovation -
AI Performance as a System-Level Challenge: Optimizing Chips and Software
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The enterprise takeaway is simple: AI performance is now a system-level challenge. The winners will optimize chips, memory, interconnects, software, and architecture together. Less latency means faster intelligence.
Less movement means lower cost.
Less waste means AI that can -
AI’s next bottleneck: time, not compute
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AI’s next bottleneck is not just compute. It is time. Time lost moving data.
Time lost coordinating chips.
Time lost waiting on memory, interconnects, and software layers to catch up. That shift changes how we should think about AI infrastructure. A thread… #HuaweiPartner