### The abbr gives an explanation { #the-abbr-gives-an-explanation }

* <abbr title="A group of machines that are configured to be connected and work together in some way.">cluster</abbr>
* <abbr title="A method of machine learning that uses artificial neural networks with numerous hidden layers between input and output layers, thereby developing a comprehensive internal structure">Deep Learning</abbr>

	if err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}

	writeSuccessResponseJSON(w, encryptedData)

	// Call hook for cluster-replication if the service account is not for a
	// root user.
	if newCred.ParentUser != globalActiveCred.AccessKey {
		replLogIf(ctx, globalSiteReplicationSys.IAMChangeHook(ctx, madmin.SRIAMItem{

        stats.recordRdmaSend(512, 500000); // 512B in 0.5ms
        stats.recordRdmaReceive(1536, 1500000); // 1.5KB in 1.5ms
        stats.recordError();

        // Verify counters
        assertEquals(1, stats.getRdmaReads(), "Should have 1 read operation");
        assertEquals(1, stats.getRdmaWrites(), "Should have 1 write operation");

                } else {
                    dc = nameServiceClient.getByName(server, possibleWorkgroup);
                }

                req.getSession(); /* ensure session id is set for cluster env. */
                challenge = getTransportContext().getTransportPool().getChallenge(getTransportContext(), dc);
                if ((ntlm = NtlmSsp.authenticate(getTransportContext(), req, resp, challenge)) == null) {

}

// SetCreatedAt preserves the CreatedAt time for bucket across sites in site replication. It defaults to
// creation time of bucket on this cluster in all other cases.
func (b *BucketMetadata) SetCreatedAt(createdAt time.Time) {
	if b.Created.IsZero() {
		b.Created = UTCNow()
	}
	if !createdAt.IsZero() {
		b.Created = createdAt.UTC()
	}
}

*   TensorForest Estimator now supports SavedModel export for serving.

*   Support client-provided ClusterSpec's and propagate them to all workers to
    enable the creation of dynamic TensorFlow clusters.

*   TensorFlow C library now available for Windows.

*   We released a new open-source version of TensorBoard.

*   [`SavedModel CLI`](https://www.tensorflow.org/versions/master/guide/saved_model_cli)

				if cfg.Streaming.Enable {
					return config.EnableOn
				}
				return config.EnableOff
			}(),
		},
		config.KV{
			Key:   target.NATSStreamingClusterID,
			Value: cfg.Streaming.ClusterID,
		},
		config.KV{
			Key:   target.NATSStreamingAsync,
			Value: config.FormatBool(cfg.Streaming.Async),
		},
		config.KV{
			Key:   target.NATSStreamingMaxPubAcksInFlight,

                } else {
                    dc = UniAddress.getByName(server, possibleWorkgroup);
                }

                req.getSession(); /* ensure session id is set for cluster env. */
                challenge = SmbSession.getChallenge(dc);
                if ((ntlm = NtlmSsp.authenticate(req, resp, challenge)) == null) {
                    return;
                }

	// Captures help for each sub-system
	helpSubSys := config.HelpKVS{
		config.HelpKV{
			Key:         config.SubnetSubSys,
			Type:        "string",
			Description: "register Enterprise license for the cluster",
			Optional:    true,
		},
		config.HelpKV{
			Key:         config.CallhomeSubSys,
			Type:        "string",
			Description: "enable callhome to MinIO SUBNET",
			Optional:    true,
		},

type BucketRemoteIdenticalToSource struct {
	GenericError
	Endpoint string
}

func (e BucketRemoteIdenticalToSource) Error() string {
	return fmt.Sprintf("Remote service endpoint %s is self referential to current cluster", e.Endpoint)
}

// BucketRemoteAlreadyExists remote already exists for this target type.
type BucketRemoteAlreadyExists GenericError

func (e BucketRemoteAlreadyExists) Error() string {