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Frank Denneman
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Frank Denneman
@FrankDenneman
Chief Technologist AI | Distinguished Engineer at VCF Broadcom | Publishing at https://t.co/eTmjFt4vRF | Author vSphere Deep Dive books
Amsterdam Area Katılım Mart 2009
731 Takip Edilen21K Takipçiler

@alexellisuk haven't looked at that yet. Will post some results soon
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@FrankDenneman How did you find the speed of it vs let’s say a large NVIDIA GPU?
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DGX Spark arrived Friday.
First thing I did was run NemoClaw with Nemotron locally. No cloud, just a small box on my desk acting like a personal AI runtime.
What stood out wasn’t that it works, but how different unified memory feels. The usual GPU signals no longer apply.
Wrote up what I found: frankdenneman.ai/posts/2026-03-… #DGX #NVIDIA


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Part 10 of Architecting AI Infrastructure is live.
Multi-GPU inside a single host is not just about adding more GPUs. Once a model spans GPUs, communication becomes part of the runtime path. This article walks through the full spectrum:
PCIe
NVLink domains
4 GPU NVLink
8 GPU split domains
HGX with NVSwitch
From independent accelerators to a unified GPU fabric inside a single server. Understanding this is key to scaling distributed inference and MoE models.
Part 10: Understanding Multi-GPU Topologies Within a Single Host:
frankdenneman.ai/2026-03-27-Und…

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Frank Denneman retweetledi

Agentic AI changes how GPUs are used.
Instead of short prompt–response interactions, agents keep sessions alive while they reason, call tools, and loop through workflows. The KV cache doesn’t disappear; it accumulates.
That changes GPU memory planning.
New article
frankdenneman.nl/2026-03-12-dur…
Explains why durable sessions, multi-step reasoning, and tool calls create persistent GPU memory pressure, and why infrastructure teams need to start planning for it.
#AI #GPU #NVIDIA #VCF

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New tool: Same-size vs Mixed-size Placement Simulator
See how vGPU profile choices shape cluster-wide GPU capacity over time. Not just per GPU.
Walkthrough:
frankdenneman.nl/posts/2026-03-…
Simulator:
frankdenneman.nl/tools/same-siz…

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Frank Denneman retweetledi

@sama In depth analysis (wrapup of everything that happened here on X too) on why you are able to make a deal where @DarioAmodei can't: docs.google.com/document/d/1NL…
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@DCasota AFAIK, right now we do not have support for ASICs. Just 'regular' GPUs from NVIDIA, AMD, and Intel. Are you talking about the Taalas device, right? Looks really promising.
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Part 5 of the Architecting AI Infrastructure series is live.
This article shows how startup order and assignment policy shape fragmentation, consolidation, and future placement opportunities.
frankdenneman.nl/posts/2026-02-…

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Started an 'Architecting AI Infrastructure' series. Part 4 published today: frankdenneman.nl/posts/2026-02-…

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new blog post: Which Multi-GPU Configurations Are You Planning to Deploy? tinyurl.com/multi-gpu-surv… #AI #GPUs #NVIDIA

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Explore was incredible again. Attendees were locked in. Great conversations with customers, full focus during break-out sessions. It was an awesome week, one of the best I've ever had. #vmwareexplore2025




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Frank Denneman retweetledi

A WHOLE NEW 'kitten kaboodle' of software systems!
An excerpt from 'Cloud Native AI' paper by @CloudNativeFdn, shared by @FrankDenneman of @VMware [by @Broadcom]
Link to paper: cncf.io/wp-content/upl…

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Frank Denneman retweetledi
Frank Denneman retweetledi

@VMware (by @Broadcom) #VCF #LLM #RAG - Building an Efficient AI Ingestion Pipeline: A Guide for Infrastructure Teams on Data Transformation and Vector Database Optimization (by @FrankDenneman) @VMwareCloud @VMwareVCF #vExpertHybridCloud @vExpert dy.si/Brv6mR2

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Check out my latest article: Building an Efficient AI Ingestion Pipeline: Data Ingestion Strategies linkedin.com/pulse/building… via @LinkedIn
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New blog post: Building an Efficient AI Ingestion Pipeline: A Guide for Infrastructure Teams on Data Transformation and Vector Database Optimization
linkedin.com/pulse/building…
#AI #RAG #VMware
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Frank Denneman retweetledi

@johjustinmurray helping that audience understand the key concepts of VMware Private AI Foundation with NVIDIA. Waiting line outside #AI


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