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docs/fr/docs/deployment/manually.md
Lorsqu'on se réfère à la machine distante, il est courant de l'appeler **serveur**, mais aussi **machine**, **VM** (machine virtuelle), **nœud**. Tout cela fait référence à un type de machine distante, exécutant Linux, en règle générale, sur laquelle vous exécutez des programmes. ## Installer le programme serveur Vous pouvez installer un serveur compatible ASGI avec : //// tab | Uvicorn
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Oct 11 17:48:49 GMT 2025 - 5.3K bytes - Click Count (0) -
docs/en/docs/deployment/manually.md
## Server Machine and Server Program { #server-machine-and-server-program } There's a small detail about names to keep in mind. 💡 The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Oct 11 17:48:49 GMT 2025 - 6.9K bytes - Click Count (0) -
guava/src/com/google/common/base/StandardSystemProperty.java
JAVA_HOME("java.home"), /** Java Virtual Machine specification version. */ JAVA_VM_SPECIFICATION_VERSION("java.vm.specification.version"), /** Java Virtual Machine specification vendor. */ JAVA_VM_SPECIFICATION_VENDOR("java.vm.specification.vendor"), /** Java Virtual Machine specification name. */ JAVA_VM_SPECIFICATION_NAME("java.vm.specification.name"), /** Java Virtual Machine implementation version. */
Created: Fri Dec 26 12:43:10 GMT 2025 - Last Modified: Thu Mar 06 10:03:30 GMT 2025 - 4.9K bytes - Click Count (0) -
ci/devinfra/docker/windows2022/Dockerfile
Remove-Item $zulu_zip; \ $env:PATH = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\") + \";${zulu_root}\\bin\"; \ [Environment]::SetEnvironmentVariable(\"PATH\", $env:PATH, \"Machine\"); \ $env:JAVA_HOME = $zulu_root; \ [Environment]::SetEnvironmentVariable(\"JAVA_HOME\", $env:JAVA_HOME, \"Machine\") # Point to the LLVM installation. # The Bazel Windows guide claims it can find LLVM automatically,Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Mon Jan 13 18:59:55 GMT 2025 - 10.3K bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.35.md
- Extended `core/v1` `Toleration` to support numeric comparison operators (`Gt`,`Lt`). ([#134665](https://github.com/kubernetes/kubernetes/pull/134665), [@helayoty](https://github.com/helayoty)) [SIG API Machinery, Apps, Node, Scheduling, Testing and Windows]
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Wed Dec 17 13:01:55 GMT 2025 - 228.5K bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.34.md
- Added machine readable output options (JSON & YAML) to `kubectl api-resources`. ([#132604](https://github.com/kubernetes/kubernetes/pull/132604), [@dharmit](https://github.com/dharmit)) [SIG Apps, CLI and Network]
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Wed Dec 10 01:13:50 GMT 2025 - 333.3K bytes - Click Count (2) -
ci/official/containers/ml_build/rbe_nvidia.packages.txt
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Thu Sep 18 00:19:40 GMT 2025 - 307 bytes - Click Count (0) -
docs/en/docs/advanced/events.md
## Use Case { #use-case } Let's start with an example **use case** and then see how to solve it with this. Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 7.9K bytes - Click Count (0) -
docs/pt/docs/advanced/events.md
## Caso de uso { #use-case } Vamos começar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso. Vamos imaginar que você tem alguns **modelos de machine learning** que deseja usar para lidar com as requisições. 🤖Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 8.8K bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.27.md
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Wed Jul 17 07:48:22 GMT 2024 - 466.3K bytes - Click Count (2)