[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
 pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only TensorFlow package is also available:

```
 pip install tensorflow-cpu
```

configuration history is [tracked here](../security/tls_configuration_history.md).

Applications expected to be installed on older Android devices should consider adopting the
[Google Play Services’ ProviderInstaller][provider_installer]. This will increase security for users
and increase connectivity with web servers.

- DRA: When the prioritized list feature was used in a request and the resulting number of allocated devices exceeded the number of allowed devices per claim, the scheduler aborted the attempt to allocate devices early. Previously, it tried to many different combinations, which could take a long time. ([#130593](https://github.com/kubernetes/kubernetes/pull/130593), [@mortent](https://github.com/mortent))...

- Implicit extended resource name derived from device class (deviceclass.resource.kubernetes.io/<device-class-name>) can be used to request DRA devices matching the device class. ([#133363](https://github.com/kubernetes/kubernetes/pull/133363), [@yliaog](https://github.com/yliaog)) [SIG Node, Scheduling and Testing]

- DRA: when asking for "All" devices on a node, Kubernetes <= 1.32 proceeded to schedule pods onto nodes with no devices by not allocating any devices for those pods. Kubernetes 1.33 changes that to only picking nodes which have at least one device. Users who want the "proceed with scheduling also without devices" semantic can use the upcoming prioritized list feature with one sub-request for "all" devices and a second alternative with "count: 0". ([#129560](https:...

- Enable the...

        decisions.
*   PluggableDevice
    *   Third-party devices can now connect to TensorFlow as plug-ins through
        [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
        and
        [PluggableDevice](https://github.com/tensorflow/community/blob/master/rfcs/20200624-pluggable-device-for-tensorflow.md)
        interface.

## 0.128.1 (2026-02-04)

### Features

* ✨ Add `viewport` meta tag to improve Swagger UI on mobile devices. PR [#14777](https://github.com/fastapi/fastapi/pull/14777) by [@Joab0](https://github.com/Joab0).

        }
      },
      {
        "subprojects": [
          "base-services",
          "flow-services",
          "input-tracking",
          "internal-integ-testing",
          "jvm-services",
          "messaging",
          "persistent-cache",
          "plugins-java",
          "problems",
          "process-memory-services",
          "testing-base-infrastructure"
        ],

    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "base-services",
    "path": "platforms/core-runtime/base-services",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "base-services-groovy",
    "path": "platforms/core-configuration/base-services-groovy",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false