Category: AI
At VMworld 2020 VMware announced a partnership with NVIDIA called project Monterey. One of the central parts of this is SmartNIC’s (BlueField-2 DPU). This post covers some of the publicly available content around the announcement.
Permanent link to this article: https://www.wondernerd.net/trove-of-vmware-project-monterey-resources/
In most organizations GPU powered thin clients (or any thin clients for that matter) are used for about 8 hours a day and the rest of the time they sit idle, not delivering value to the organization. Why not use their GPU processing power to accelerate organizational research?
Permanent link to this article: https://www.wondernerd.net/farming-nvidia-jetson-based-thin-clients/
These are the slides from my session on VDI by Day Compute By Night slides from my vBrownBag presentation.
Permanent link to this article: https://www.wondernerd.net/vmtn5019u-the-thrifty-admin/
I’ve been working on a PowerCLI function for the last few months in my free time and now I’d like to share it with everyone. This is a pretty spiffy function for those folks working with vGPUs, and it’s not just for VDI it can help those looking to virtualize ML/DL systems too. It calculates the vGPU carrying capacity of a vSphere environment.
Permanent link to this article: https://www.wondernerd.net/number-of-vgpus-available-in-vsphere/
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By Tony in AI, CUDA, Deep Learning, GPU, Horizon, HPC, Large Scale Compute, Machine Learning, NGCA, vExpert
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September 14, 2018
In this post I’m looking at reclaiming resources from virtual environments. To which you might be saying that’s simple, VMware put out a white paper on cycle harvesting. https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/solutions/vmware-jackson-national-life-insurance-white-paper.pdf The above paper was based on what a VMware customer did to reclaim idle CPU resources from their VDI environment. They did this by setting share …
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Permanent link to this article: https://www.wondernerd.net/taking-back-resources/