Stephen Wagner(@StephenWagner7) 's Twitter Profile Photo

Had fun yesterday presenting an 'Introduction to VDI' to a small but fun audience at VMUG Calgary's Community Sessions... Talked about Virtual Desktops, Application Delivery, Profile Persistence, NVIDIA vGPU accelerated workloads, AEC, and AI.

NVIDIA, NVIDIA VIRT, VMware,…

Had fun yesterday presenting an 'Introduction to VDI' to a small but fun audience at VMUG Calgary's Community Sessions... Talked about Virtual Desktops, Application Delivery, Profile Persistence, NVIDIA vGPU accelerated workloads, AEC, and AI.

@nvidia, @NVIDIAVirt, @VMware,…
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DAVIDM ⚛️(@mbre_e) 's Twitter Profile Photo

I totally agree with your view Dizzy!

Equipped with sophisticated infrastructures such as , , and accessible globally, CUDOS is redefining the market.

I see them overtaking the big guns soon 👀

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ぽこ(@poko_twit) 's Twitter Profile Photo

なんでだ...無限にできなかったのにこれでできた...

GitHub - Upinel/PVE-Intel-vGPU-Lazy: This is a one-click install script to enable Gen 12/13 Intel vGPU using SR-IOV Technology so up to 7 Client VMs can enjoy hardware GPU decoding
github.com/Upinel/PVE-Int…

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Giovanni Dominoni(@Giodomi1989) 's Twitter Profile Photo

VMware CMTY Podcast #689 - vGPU and uses cases for Private AI Foundation w/ Johan van Amersfoort dy.si/wcWrZE2

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Navin(@Navin_VMware) 's Twitter Profile Photo

VMware CMTY Podcast #689 - vGPU and uses cases for Private AI Foundation w/ Johan van Amersfoort dy.si/fKLo

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ピン村@ユウキ(pinson@yuki)(@yukiafronia) 's Twitter Profile Photo

vGPUだけど、ラックサーバの場合GPUの補助電源ケーブルの確保が出来ず、最近の補助電源ケーブルありきのGPUに困る...

CPU入力のケーブルを分岐させて、CPU x1 + GPU 8pin x2みたいなケーブルがあるといいのだが..

この世の中に存在していいのかどうかは分からん

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ShiftyBear | High Conviction Only(@Zk_ShiftyBear) 's Twitter Profile Photo

Their main goal is to get people that got fudded out, or are down on their $YAI bags in on a vaporware promise of a product that doesn’t do anything useful

So look closely,

A little bit of research goes a long way 🕵️‍♂️🚩

You will see another $VGPU in the making 👁️

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AeDaN (evm/acc) ⨀(@aedan075) 's Twitter Profile Photo

• High-performance computing, AI, and machine learning tasks are designed to be expedited by NVIDIA's data center GPU range, which includes devices like the DGX Systems, HGX A100, and vGPU solutions.

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