on Ampere based GPUs.TensorFloat-32, or TF32 for short, is a math mode
        for NVIDIA Ampere based GPUs which causes certain float32 ops, such as
        matrix multiplications and convolutions, to run much faster on Ampere
        GPUs but with reduced precision. This reduced precision has not been
        found to effect convergence quality of deep learning models in practice.

   * loading, or expired. Unlike {@link Segment#getLiveValue} this method does not attempt to clean
   * up stale entries. As such it should only be called outside a segment context, such as during
   * iteration.
   */
  @Nullable V getLiveValue(ReferenceEntry<K, V> entry, long now) {
    if (entry.getKey() == null) {
      return null;
    }

- kubeadm: Fixed a possible scenario where kubeadm can pull much newer control-plane images ([#69301](https://github.com/kubernetes/kubernetes/pull/69301), [@neolit123](https://github.com/neolit123))

# GraphQL { #graphql }

Da **FastAPI** auf dem **ASGI**-Standard basiert, ist es sehr einfach, jede **GraphQL**-Bibliothek zu integrieren, die auch mit ASGI kompatibel ist.

Sie können normale FastAPI-*Pfadoperationen* mit GraphQL in derselben Anwendung kombinieren.

/// tip | Tipp

**GraphQL** löst einige sehr spezifische Anwendungsfälle.

Es hat **Vorteile** und **Nachteile** im Vergleich zu gängigen **Web-APIs**.

admission controller. This facilitates creation of dedicated nodes with extended resources. If operators want to create dedicated nodes with extended resources (such as GPUs, FPGAs, and so on), they are expected to taint the node with extended resource name as the key. This admission controller, if enabled, automatically adds tolerations for such taints to pods requesting extended resources, so users don't have to manually add these tolerations. ([#55839](https://github.com/kubernetes/kubernetes/pull/55839),[...

  - Added user-owned fields in `ResourceClaim` to specify resource requirements against each device capacity.
  - Added scheduler-owned field in `ResourceClaim.Status` to specify how much device capacity is reserved for a specific request.
  - Added an additional identifier to `ResourceClaim.Status` for the device supports multiple allocations.

Y tienes que esperar 🕙 en la fila por mucho tiempo o pierdes tu turno.

Probablemente no querrías llevar a tu crush 😍 contigo a hacer trámites en el banco 🏦.

### Conclusión de las Hamburguesas { #burger-conclusion }

En este escenario de "hamburguesas de comida rápida con tu crush", como hay mucha espera 🕙, tiene mucho más sentido tener un sistema concurrente ⏸🔀⏯.

  that could result in some updates getting lost (e.g., when a service gets a
  new endpoint, the rules for the new endpoint might not be added until
  much later). ([#122204](https://github.com/kubernetes/kubernetes/pull/122204), [@danwinship](https://github.com/danwinship))

- Endpoints/endpointslice controllers perform much better when there are a large number of services in a single namespace ([#134739](https://github.com/kubernetes/kubernetes/pull/134739), [@shyamjvs](https://github.com/shyamjvs)) [SIG Apps and Network]

Wenn Sie eine Gruppe von **Cookies** haben, die zusammengehören, können Sie ein **Pydantic-Modell** erstellen, um diese zu deklarieren. 🍪

Damit können Sie das Modell an **mehreren Stellen wiederverwenden** und auch Validierungen und Metadaten für alle Parameter gleichzeitig deklarieren. 😎

/// note | Hinweis

Dies wird seit FastAPI Version `0.115.0` unterstützt. 🤓

///

/// tip | Tipp