It does not consider the GPU utilization at all. The default Kube scheduler considers only the CPU, Network, Memory utilization of the worker nodes. GPU has significant impact to the performance of ML workloads We need to modify the default scheduler for ML workload because of 3 reasons: 1. Also due to the agility of container architecture and the abundant availability of ML framework images, the use of Kubernetes to manage clusters of ML workloads has also been very prevalent. Why we need to consider Accelerators in AI WorkloadĪccelerators like GPU have become extremely popular for Machine Learning (ML) in recent years, due to its ability to handle massively distributed computing tasks. Please see the corresponding references for details.Īt Gemini Open Computing, we also leverage the scheduler framework to schedule Machine Learning and Inference jobs to optimize the use of GPU’s. PODs) to worker nodes to satisfy the requirements. Workload scenarios like Gang Scheduling (Ref #5), Capacity Scheduling (Ref #6), and GPU Binpacking (Ref #7) can all benefit from the new scheduler framework, by implementing plugins to filter, prioritize, and bind tasks (i.e. With the fine granularity and the plugin architecture of the new Kube scheduler framework, the default scheduler can be customized to handle different workload to increase performance and optimize the use of hardware resources. If you want to pair SharePod over WiFi, it is recommended to do this over a 5GHz connection, this will provide high data speed over short distance.Guest post originally published on Gemini Open Cloud’s blog by Patrick Fu If possible, we will always recommend to put SharePod on LAN. LAN will give the most solid IP connection between SharePod and wePresent. However, once multiple SharePods are used, we strongly advise to make them LAN connected instead of WiFi connected, for the most solid IP connection. Here you will see the below Settings page, where you can Manually Pair your SharePod to any wireless Access Point.īecause each SharePod acts as one single user in your wePresent system, there can be multiple Sharepods logged into one wePresent. Open the drive and launch the Config file. To do this, simply connect SharePod with the USB cable directly into a Windows/Mac computer. It is also possible to manually setup SharePod to a certain wePresent. ![]() With this setting the Auto Pairing process will pair your SharePod over the specified SSID of your local Access Point, with a specified Encryption and Password, to the IP address of your wePresent Auto Pairing over network Access Point's.With this setting the Auto Pairing process will pair the SharePod over the SSID of your wePresent, to the IP address of your wePresent. The way the Auto Pairing process works, is determined by the SharePod settings inside your wePresent:Ĭan only be used if your wePresent is set to broadcast a WiFi signal. Once it starts flickering red, the pairing is complete and you will see the message on the wePresent start screen: "SharePod pairing completed". When you insert the USB into wePresent, Sharepod will start to light up red. Pairing Sharepod - Auto, or Manual PairingĪuto pairing is done by connecting the SharePod directly by USB cable to the front USB port of a wePresent. Please see the following video for more explanation: ![]() ![]() It can also facilitate easy presentation for users that are simply not allowed to install software, run an executable file, or even insert a USB token. SharePod can be used to bring peripheral devices to wePresent, such as a Document Camera, DVD player, Microscope or Digital Camera. If SharePod is ready to share, it will simply duplicate the audio/video from any HDMI source to the wePresent. Once SharePod is successfully 'paired' with a wePresent, it will be permanently logged in as a user in the wePresent environment, as long as both the SharePod and wePresent stay powered on. The SharePod is an accessory that can be combined with any wePresent model and functions as an HDMI Extender, over IP. Please do not confuse SharePod with a "pass-around-the-table-button" (on wePresent the "pass-around-the-table-button" is an USB Plug & Show token ).
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