This is the third clip of ESXi 6.7 runs on Raspberry Pi size x86 box (LattePanda). The device is with 4GB RAM and Intel Z8350 (4 cores). Seven VMs are running there: Raspbian, Android, Ubuntu, UbuntuCore, Windows IoT Core,Yocto, Photon OS.
OPEN THE FRONT OF GRANNY'S CLOTHES!!
only 1900 - 2022 kids will remember.. 😥
Undiscovered Wasteland - A Short Composition
А зачем семья
Live Session ya disponible en mi canal ❤️🩹❤️🩹❤️🩹
Как фармить в деревне строителей в клэше
Фестиваль нравственности "Василиса" в Казани
HTML : no line break in a long html link?
Interview by Innospace about VMware sustainability (in Chinese)
EP10: What's Smart Farming and how Kubernetes is used there?
EP9: What's Smart Building (including data centers) and how Kubernetes is used here?
EP8: What's Smart Transportation and how Kubernetes is used there?
EP7: What's Smart Manufacturing and how Kubernetes is used there?
EP6: How Kubernetes is used in Smart Grid?
EP5: What's edge device and how do their T-shirt sizes look like?
EP4: Cloud Edge/Edge Cloud & their synonyms
EP3: Cloud vs Edge? Location-Service Matrix
EP2: Why Kubernetes on Edge?
EP1: Kick off short talks about Edge Kubernetes
Integration of Tanzu Community Edition with K8S BYOH Infra Provider on x64/ARM64 mixed cluster 4Edge
EdgeX Foundry New UI with API v2
Kubernetes on Edge working with VMware TKG
Project Satellite: Augmented Reality in Data Center Operations
Project Supernova demo with Vitis AI on Xilinx FPGA and DenseBox
EdgeX Foundry Deployment on Tencent Kubernetes Engine @ Edge
EdgeX Foundry deployment with Kubernetes Operators, HA for Redis or KubeEdge
Project Supernova deployed by Kubernetes, with OpenVINO
Project Supernova demo with TensorRT, Nvidia vGPU exposed by Bitfusion, x86 CPU and Yolo v3 Tiny
Project Supernova demo with TensorRT, Nvidia GPU, x86 CPU and Yolo v3 tiny model
Project Supernova with OpenVINO, Intel Xeon AVX, x86 CPU and BERT Base model
Project Supernova demo with Tensorflow Lite on Google Edge TPU, ARM64 bit CPU, and Mobilenet model.
Project Supernova demo with Tensorflow Lite on Google Edge TPU, x86 CPU and Posnet model.