```sh
wget https://dl.min.io/server/minio/release/linux-amd64/minio
chmod +x minio
./minio server /data
```

The following table lists supported architectures. Replace the `wget` URL with the architecture for your Linux host.

///

/// tip | Astuce

Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning.

///

### Déclarer un paramètre de chemin

///

/// tip | 豆知識

"AlexNet"、"ResNet"そして"LeNet"は機械学習<abbr title="Technically, Deep Learning model architectures">モデル</abbr>の名前です。

///

### *パスパラメータ*の宣言

次に、作成したenumクラスである`ModelName`を使用した型アノテーションをもつ*パスパラメータ*を作成します:

{* ../../docs_src/path_params/tutorial005.py hl[16] *}

### ドキュメントの確認

command to run a standalone MinIO server on Linux hosts running 64-bit Intel/AMD architectures. Replace ``/data`` with the path to the drive or directory in which you want MinIO to store data. ```sh wget https://dl.min.io/server/minio/release/linux-amd64/minio chmod +x minio ./minio server /data ``` The following table lists supported architectures. Replace the `wget` URL with the architecture for your Linux host. | Architecture | URL | | -------- | ------ | | 64-bit Intel/AMD | <https://dl.min.io/serv...

} catch (ClassNotFoundRuntimeException e) {
    // Handle the wrapped exception
    logger.error("Class not found: " + className, e);
}
```

## 🏗️ Architecture & Design Patterns

### Core Design Principles
CoreLib follows a **utility-class pattern** where most functionality is exposed through static methods:

# **Disaggregated HDP Spark and Hive with MinIO**

## **1. Cloud-native Architecture**

![cloud-native](https://github.com/minio/minio/blob/master/docs/bigdata/images/image1.png?raw=true "cloud native architecture")

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

        </field>
        <field>
          <name>arch</name>
          <version>1.0.0</version>
          <type>String</type>
          <description>The architecture of the OS to be used to activate a profile</description>
        </field>
        <field>
          <name>version</name>
          <version>1.0.0</version>
          <type>String</type>

import org.lastaflute.web.util.LaRequestUtil;

import jakarta.annotation.PostConstruct;

/**
 * A query parser that processes search queries and converts them to Lucene Query objects.
 * This class provides a flexible architecture using a chain of filters to process and transform
 * queries before they are parsed by the underlying Lucene query parser.
 *
 * <p>The parser supports configuration of default field, analyzer, wildcard settings,

   * even in the same order. (It is guaranteed to return true for instances constructed from the
   * same values in the same order if {@code strictfp} is in effect, or if the system architecture
   * guarantees {@code strictfp}-like semantics.)
   */
  @Override
  public boolean equals(@Nullable Object obj) {
    if (obj == null) {
      return false;
    }

- **MS-SMB2 Section 3.1.5.2**: RDMA Transport Connection
- **RFC 5040**: A Remote Direct Memory Access Protocol Specification
- **RFC 5041**: Direct Data Placement over Reliable Transports

## 3. RDMA Architecture

### 3.1 RDMA Capabilities
```java
public enum RdmaCapability {
    RDMA_READ,           // Remote direct read operations
    RDMA_WRITE,          // Remote direct write operations