This backend is up to 100x faster than the vanilla CPU backend. The WebGL backend, 'webgl', is currently the most powerful backend for the browser. If you want to manually change the backend: tf.setBackend('cpu') To find which backend you are using: console.log(tf.getBackend()) However, sometimes it's important to know which backend is being used and how to switch it. Most of the time, TensorFlow.js will automatically choose the best backend for you given the current environment. At any given time, only one backend is active. TensorFlow.js support multiple different backends that implement tensor storage and mathematical operations. The environment is comprised of a single global backend as well as a set of flags that control fine-grained features of TensorFlow.js. When a TensorFlow.js program is executed, the specific configuration is called the environment. In Node.js, TensorFlow.js supports binding directly to the TensorFlow API or running with the slower vanilla CPU implementations. Each device has a specific set of constraints, like available WebGL APIs, which are automatically determined and configured for you. In the browser, TensorFlow.js supports mobile devices as well as desktop devices. Each platform has a unique set of considerations that will affect the way applications are developed. Hardware is working works in the browser and Node.js, and in both platforms there are many different available configurations. So the challenge is finding a Nextcloud like product for <10 users that runs on Windows. In the end, the best solution for > 10gbe networking to windows 10 clients was by far a windows (2019) server (2022 had weird storage\performance bugs that resulted in random read hangs). So something like NvmeOF is out, because we need the full storage pool available to all users at once, not the storage pool split across multiple users. And many of our applications only support Windows so using NFS is a no-go.Īll users also need to be able to simultaneously and randomly access data. Samba doesn't have RDMA\SMB Direct or nearly as well of optimized SMB performance no matter what tuning I attempted. Both are far in excess of even 100gbe switching. My ZFS pool on TrueNAS benchmarked at nearly 50GBs read speeds, CrystalDisk Windows is delivering 46GB\s Sequential read and 20GB\s write speeds. Is there someone I'm missing who works with Windows Server and doesn't have crazy enterprise rates assuming that 80TB will only ever be needed by multinational corporations? Qsync in QuTScloud would let us host a QNAP OS image in Hyper-V for a reasonable price per year but would also require us to duplicate our storage in the VM which means double the costs for hard drives. We could run them in a hypervisor, but then we'll need to duplicate the data into the VM and double our storage. OwnCloud and NextCloud offer exactly what we need, but back in 2017 they abandoned Windows. Resilio technologically looks great, but we only have 8 users and in order to get a Windows Server license you need at least 20 users which means we would be paying $200/mo. Sharepoint Server is the obvious choice for a cloud file server, however for just 8 users Sharepoint Server is $7,200/license + $150/user CAL = $16,000 it's from a cost perspective more expensive than buying a 250TB TrueNAS server and just doing the Syncthing dance. We use Syncthing to keep our WindowsSynology in lock step and it's working but it's a fragile arrangement and requires redundant storage. But it requires maintaining a completely redundant copy of all of the data on a Synology NAS just to be able to serve the data over Synology Drive. Synology Drive Server is working for us now. We are looking for a service that we can self-host all of our data, in place with a sync client for Mac and PC that lets you see virtual\files on demand. We have about 80TB of NVME storage on a Windows Server (We chose Windows Server because we just weren't able to get reliable >10gbs transfers via TrueNAS or ProxMox or TrueNAS Scale over SMB to Windows 10 clients.)
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