Title
AWS re:Invent 2022 - HPC on AWS: Solve complex problems with pay-as-you-go infrastructure (CMP205)
Summary
- The session focused on High-Performance Computing (HPC) on AWS, its importance, and how AWS has evolved to support HPC workloads.
- The speaker discussed the initial skepticism about AWS's ability to handle supercomputing tasks and how AWS overcame performance, security, and cost concerns.
- HPC applications in various industries were highlighted, including aerodynamics, energy, and drug discovery.
- AWS's approach to HPC involves working backwards from customer needs, leading to the development of specialized HPC instances and services.
- AWS introduced HPC6A (AMD-based), HPC6ID (Intel-based), and HPC7G (Graviton3-based) instances tailored for HPC workloads.
- AWS Nitro System was emphasized for its ability to minimize virtualization penalties and provide near-metal performance.
- AWS's Elastic Fabric Adapter (EFA) was presented as a solution for low-latency, high-throughput networking, comparable to InfiniBand.
- Amazon FSx for Lustre was introduced as a high-performance file system integrated with S3 for dynamic storage provisioning.
- AWS Batch and AWS Parallel Cluster were discussed as solutions for job scheduling and cluster management.
- A case study from Eli Lilly showcased their cloud migration journey for drug discovery using AWS services.
- The session concluded with examples of diverse HPC applications on AWS and an invitation to explore more detailed sessions.
Insights
- AWS has made significant strides in HPC, addressing initial industry skepticism by demonstrating performance, security, and cost-effectiveness.
- The development of specialized HPC instances indicates AWS's commitment to providing tailored solutions for compute-intensive workloads.
- AWS's Nitro System and EFA technology are critical in achieving high performance and low latency, which are essential for HPC applications.
- The integration of FSx for Lustre with S3 for dynamic storage provisioning reflects AWS's focus on flexibility and cost-efficiency in resource management.
- AWS's support for Kubernetes through AWS Batch for EKS shows an understanding of the industry's shift towards container orchestration for workload management.
- The case study from Eli Lilly highlights the practical benefits of cloud migration for HPC in the pharmaceutical industry, emphasizing speed, scalability, and cost optimization.
- AWS's recognition by the HPC wire awards as the preferred cloud for HPC workloads reinforces its position as a leader in the cloud HPC market.
- The session underscores the broad applicability of HPC across industries and the potential for innovation when leveraging AWS's HPC capabilities.