AWSSageMakerService

oxirs_embed::cloud_integration

Struct AWSSageMakerService 

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pub struct AWSSageMakerService { /* private fields */ }
Expand description

AWS SageMaker integration

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impl AWSSageMakerService

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pub fn new( region: String, access_key_id: String, secret_access_key: String, session_token: Option<String>, ) -> Self

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impl CloudService for AWSSageMakerService

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fn deploy_model<'life0, 'life1, 'async_trait>( &'life0 self, __deployment_config: &'life1 DeploymentConfig, ) -> Pin<Box<dyn Future<Output = Result<DeploymentResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Deploy model to cloud service
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fn get_endpoint<'life0, 'life1, 'async_trait>( &'life0 self, deployment_id: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<EndpointInfo>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Get inference endpoint
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fn scale_deployment<'life0, 'life1, 'async_trait>( &'life0 self, deployment_id: &'life1 str, target_instances: u32, ) -> Pin<Box<dyn Future<Output = Result<ScalingResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Scale deployment
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fn get_metrics<'life0, 'life1, 'async_trait>( &'life0 self, deployment_id: &'life1 str, time_range: (DateTime<Utc>, DateTime<Utc>), ) -> Pin<Box<dyn Future<Output = Result<DeploymentMetrics>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Get deployment metrics
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fn update_deployment<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, deployment_id: &'life1 str, config: &'life2 DeploymentConfig, ) -> Pin<Box<dyn Future<Output = Result<UpdateResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Update deployment configuration
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fn delete_deployment<'life0, 'life1, 'async_trait>( &'life0 self, deployment_id: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<()>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Delete deployment
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fn list_deployments<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<Vec<DeploymentInfo>>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait,

List deployments
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fn estimate_costs<'life0, 'life1, 'async_trait>( &'life0 self, config: &'life1 DeploymentConfig, _duration_hours: u32, ) -> Pin<Box<dyn Future<Output = Result<CostEstimate>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Get cost estimates
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fn deploy_serverless_function<'life0, 'life1, 'async_trait>( &'life0 self, function_config: &'life1 ServerlessFunctionConfig, ) -> Pin<Box<dyn Future<Output = Result<ServerlessDeploymentResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Deploy serverless function
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fn invoke_function<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, _function_name: &'life1 str, payload: &'life2 [u8], ) -> Pin<Box<dyn Future<Output = Result<FunctionInvocationResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait,

Invoke serverless function
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fn create_gpu_cluster<'life0, 'life1, 'async_trait>( &'life0 self, cluster_config: &'life1 GPUClusterConfig, ) -> Pin<Box<dyn Future<Output = Result<GPUClusterResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Create GPU cluster
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fn manage_storage<'life0, 'life1, 'async_trait>( &'life0 self, storage_config: &'life1 StorageConfig, ) -> Pin<Box<dyn Future<Output = Result<StorageResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Manage storage resources
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fn optimize_costs<'life0, 'life1, 'async_trait>( &'life0 self, optimization_config: &'life1 CostOptimizationStrategy, ) -> Pin<Box<dyn Future<Output = Result<CostOptimizationResult>> + Send + 'async_trait>>
where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Optimize costs with spot instances and reserved capacity

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