Bare Metal Use Case – High Performance Computing (HPC)

HPC plays a vital role in processing big data and supporting artificial intelligence (AI) applications. The massive computational power of HPC systems enables the training of complex AI models and the analysis of large datasets, which are essential for advancements in AI, machine learning, and data analytics.

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The HPC market is projected to reach nearly $100 billion by the end of the decade. This growth is driven by the increased adoption of HPC in AI, machine learning, and big data analytics. The expansion is also supported by the rising use of cloud-based HPC solutions, making the technology more accessible across various industries.

Source: GlobeNewsWire

HPC Infrastructure Requirements

Dedicated servers for HPC are specifically designed to handle the intensive computational demands of scientific research, big data analysis, and other performance-critical applications. These servers must meet several key requirements to ensure they can deliver the necessary performance, reliability, and scalability:

Bandwidth and Data Transfer

HPC tasks often involve the processing of massive datasets, requiring servers to have high throughput capabilities to manage large volumes of data quickly and efficiently. This involves not only high-speed networking but also fast data storage solutions such as NVMe SSDs that can handle rapid read/write operations.

Homogeneity in Clusters

In an HPC environment, it’s important to have a standardized set of servers that match in terms of hardware configurations. This homogeneity simplifies the management of the cluster, improves load balancing, and ensures that all nodes can work together efficiently without bottlenecks. Also, matching servers make it easier to scale the HPC environment. As computational needs grow, additional servers can be added to the cluster without disrupting the existing setup or requiring significant reconfiguration.

Modern High Core Count CPUs

Parallel Processing: HPC workloads typically involve tasks that can be broken down into smaller, parallel tasks. Modern CPUs with high core counts (such as AMD EPYC or Intel Xeon processors) allow for the simultaneous execution of many threads, significantly boosting performance for parallelizable workloads.
Energy Efficiency: Despite their high core counts, modern CPUs are designed to be energy-efficient, which is crucial in HPC environments where power consumption is a significant operational cost. Advanced CPUs also support features like simultaneous multithreading (SMT), which improves throughput without a proportional increase in energy usage.

OpenMetal’s HPC Ready Servers

Dedicated servers for HPC/high performance computing typically require high throughput, standard matching servers, and modern high core count CPUs.

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20Gbps high performance private network (NIC: 2 X 10Gbps dedicated servers).
Options for 128GB, 256GB, 512GB, 1TB and 2TB RAM dedicated servers.
5th Generation Intel Xeon 6530 and 6526Y CPUs to choose from plus options for special order CPUs specific to your application.
1/2U, 1U, and 2U servers to choose from for maximum efficiency for bulk server deployments.

OpenMetal’s team has worked closer with us than any other infrastructure provider we have ever had. Their technology is great, but their superpower is a culture of aligning their team with our goals.

Chris Ueland, Co-Founder & CEO
@ Hunt Intelligence

OpenMetal Hardware for High Performance Computing

This is some of the enterprise bare metal hardware that can support HPC use cases. Reach out to our sales team if you have a specific hardware requirement that you don’t see in our bare metal catalog.

Learn how to enable Intel SGX and TDX on OpenMetal’s Medium, Large, XL, and XXL v4 servers. This guide covers required memory configurations (8 DIMMs per CPU and 1TB RAM), hardware prerequisites, and a detailed cost comparison for provisioning SGX/TDX-ready infrastructure.

Discover the power of the OpenMetal Large v4 Storage Server with dual Intel Xeon Silver 4510 CPUs, 720TB HDD storage, 76.8TB NVMe flash, and 512GB DDR5 RAM. Perfect for building high-performance, scalable, and resilient storage clusters for cloud, AI/ML, and enterprise data lakes.

The OpenMetal Large v1 Storage Server features dual Intel® Xeon® Silver 4210R CPUs, 12x 12TB HDDs, and 4x 1.92TB NVMe SSDs—ideal for scalable, high-capacity storage and Ceph-based clusters.