What networking technology is critical for tightly coupled HPC workloads?

Low-latency, high-bandwidth interconnects are essential for MPI-based parallel applications. AWS Elastic Fabric Adapter (EFA) offers OS-bypass networking at 100 Gbps with sub-microsecond latency. Azure InfiniBand HDR (200 Gbps) on HB/HC instances and Google VirtioNet with RDMA on A3 instances are comparable solutions.

How do commercial HPC ISV applications run in cloud environments?

Major HPC ISVs (Ansys, Siemens Simcenter, Dassault Systèmes, Schlumberger PETREL) provide cloud-licensed or BYOL options. AWS, Azure, and Google Cloud all have HPC-optimized Marketplace offerings. Rescale and Altair Grid Engine provide managed HPC cloud platforms that abstract the underlying cloud infrastructure.

What is the TCO comparison between on-premises HPC clusters and cloud HPC?

On-premises HPC clusters have high CapEx (typically $5–50M for mid-large deployments) with 3–5 year refresh cycles. Cloud HPC eliminates CapEx and enables burst computing for peak demand, but per-hour costs can be 2–3x higher for sustained utilization. Hybrid HPC (on-prem base + cloud burst) often optimizes TCO for most research organizations.

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Best Solutions for HPC Cloud

Expert evaluation of the best HPC cloud solutions for simulation, research, and scientific computing, comparing AWS HPC, Azure CycleCloud, Google HPC Toolkit, and specialized HPC clouds.

Frequently Asked Questions

AWS offers the broadest HPC portfolio with Hpc6a (AMD EPYC), Hpc7g (Graviton3E), EFA (Elastic Fabric Adapter) networking, and ParallelCluster for Slurm-based HPC deployments. Azure CycleCloud + HBv4 (AMD EPYC Genoa) and Google HPC Toolkit with C3 instances are strong alternatives.

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