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Amazon Web Services (AWS)

Amazon Web Services (AWS) is one of the leading cloud computing platforms, offering a comprehensive suite of infrastructure services that make it an excellent choice for high-performance computing workloads with Vantage.

Overview​

AWS provides the scalability, reliability, and performance needed for demanding computational workloads. With Vantage on AWS, you can:

  • Auto-scaling clusters: Automatically scale compute resources based on workload demands
  • Global availability: Deploy clusters across multiple AWS regions worldwide
  • Cost optimization: Leverage spot instances and reserved capacity for cost-effective computing
  • Enterprise security: Benefit from AWS's robust security and compliance features

Key AWS Services for HPC​

Compute Services​

  • Amazon EC2: Virtual servers with various instance types optimized for compute, memory, or storage
  • AWS Batch: Fully managed batch computing service for running jobs at any scale
  • Amazon ECS/EKS: Container orchestration services for containerized workloads

Storage Services​

  • Amazon S3: Object storage for data lakes, backups, and archival
  • Amazon EFS: Fully managed file system for shared storage across compute instances
  • Amazon FSx: High-performance file systems optimized for HPC workloads

Networking​

  • Amazon VPC: Isolated cloud resources with complete networking control
  • AWS Direct Connect: Dedicated network connection from your premises to AWS

Getting Started with AWS​

To deploy Vantage clusters on AWS, you'll need:

  1. AWS Account: An active AWS account with appropriate permissions
  2. IAM Roles: Properly configured IAM roles for Vantage cluster management
  3. Network Configuration: VPC and subnet configuration for your clusters
  4. Security Groups: Network security rules for cluster communication

Instance Types for HPC​

AWS offers several instance families optimized for different HPC use cases:

  • C6i/C6a: Compute-optimized instances for CPU-intensive workloads
  • M6i/M6a: General-purpose instances with balanced compute, memory, and networking
  • R6i/R6a: Memory-optimized instances for memory-intensive applications
  • Hpc6a: Purpose-built for tightly coupled HPC workloads
  • P4/G5: GPU instances for AI, machine learning, and parallel computing

Cost Optimization​

Maximize your AWS investment with these strategies:

  • Spot Instances: Save up to 90% on compute costs for fault-tolerant workloads
  • Reserved Instances: Predictable workloads benefit from reserved capacity discounts
  • Savings Plans: Flexible pricing model for consistent usage patterns
  • Auto Scaling: Automatically adjust capacity to match demand

Next Steps​

  • Create an AWS Account (see AWS documentation)
  • Configure IAM Roles (see AWS documentation)
  • Deploy Your First Cluster

Ready to get started? Check out our AWS cluster deployment guide for step-by-step instructions.