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R Systems NA Inc is a high-performance computing (HPC) provider for commercial and institutional research customers. Its core message is “We Run Clusters So You Don’t Have To.” The company owns and operates bare-metal clusters, offering compute resources and HPC technical support through the R Systems brand and its Dell HPC Cloud Services Partnership. Its target users include researchers, engineers, enterprise R&D teams, and internal IT departments.
Its offerings are divided into Dedicated, Utility, and HPC Consulting. Dedicated provides customer-specific dedicated bare-metal clusters built to specification, with root access available when needed. It is suitable for long-term workloads, high-security requirements, or special hardware, operating system, and scheduler needs. Utility is a preconfigured shared HPC environment that includes login nodes, scheduling queues, and NFS/Lustre storage. Users can upload custom applications or use preinstalled ISV and open-source software, with access via SSH and VNC. Jobs run with exclusive access to nodes. The system supports Linux and Windows, but the shared Utility queues are explicitly for Linux users only; Windows users need a monthly or annual dedicated agreement. The materials also mention support for secure and portable Singularity containers.
The official website provides relatively transparent estimated pricing: Sandy Bridge CPU Utility costs $0.09 per core-hour, $0.07 on a monthly plan, and $0.05 on an annual plan; K40 GPU Utility costs $1.30 per GPU-hour, $1.00 monthly, and $0.60 annually; dedicated storage is $35/TB/month. It also emphasizes that there are no hidden fees or data transfer charges. Final pricing depends on configuration and requires contacting sales for customization.
The strengths are bare-metal isolation, white-glove support from HPC experts, both burst and long-term resource models, and coverage for typical high-performance computing scenarios such as CFD and genomics. The drawbacks are also clear: the crawled content does not mention APIs, SDKs, CLIs, or modern cloud console capabilities; the publicly listed hardware examples are relatively old, and the current GPU/CPU generations are unclear; the documentation is more sales-oriented and lacks developer onboarding details around schedulers, images, networking, and automated deployment.
It is better suited to research institutions, engineering simulation teams, and enterprise R&D departments that need managed HPC, dedicated clusters, or HPC consulting, rather than internet development teams looking for self-service API-driven elastic cloud resources. Access from mainland China, payment methods, and service locations are not disclosed, so china_access can only be rated as unknown. For local or public cloud alternatives, you may compare options such as AWS ParallelCluster, Azure CycleCloud, Google Cloud HPC Toolkit, and Rescale.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on rsystemsinc.com official site.
rsystemsinc.com is an United States Dev Tools provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach rsystemsinc.com directly.