CPU Compute Server

It depends on your core algorithms. Intel Xeon (e.g., 6966P-C) excels in Finite Element Analysis (FEA) which heavily relies on high single-core frequencies and specific instruction sets (like AVX-512). Conversely, AMD EPYC, with its massive core counts and large cache, offers exceptional throughput for highly parallel First-Principles calculations (DFT) or massive machine learning data preprocessing.

When processing FEA transient solutions with millions of meshes or loading massive ML training datasets, the bottleneck is rarely core computing power, but rather data transfer. Our customized CPU nodes feature maxed-out, multi-channel high-speed DDR5 memory to completely eliminate the "memory wall," preventing processors from idling while waiting for data.

Yes. As a computing team that deeply understands research, we know the hassle of environment configuration. Prior to delivery, based on your specific needs (DFT, MD, FEA, or ML frameworks), we provide optimal compilation and pre-installation services—from underlying system drivers and MPI libraries to specific commercial/open-source software—ensuring out-of-the-box readiness.

While GPUs focus on tensor computation and model training, the entire ML lifecycle requires robust CPU support. Complex data cleaning, feature engineering, and graph construction for Graph Neural Networks (GNNs) heavily rely on the CPU's logical processing and large memory capacity. A high-performance CPU is the fundamental cornerstone ensuring your GPUs are never "starved" for data.

Absolutely. All CPU compute servers we provide for universities and research institutes possess enterprise-grade scalability. When future funding permits, we can connect new nodes and parallel storage systems via InfiniBand or 100G/400G high-speed Ethernet, seamlessly building a large-scale, customized supercomputing cluster.

KEYAN calculation provides 100% on-premise, physically isolated deployment solutions for research enterprises and institutes. Your server is managed entirely within your internal network without forced connections to the public cloud. All underlying structural models and training data run in a closed loop within your exclusive physical drives and nodes, building an indestructible moat for your intellectual property.

Traditional vendors only deliver hardware; our all-postgraduate expert team delivers a "computing ecosystem." Tailored to your specific computational chemistry or mechanics systems, we perform deep tuning at the Linux kernel and BIOS levels (e.g., disabling Hyper-Threading, NUMA node binding) to ensure 100% perfect alignment between hardware performance and your scientific algorithms.

You receive full-lifecycle, scientific-level technical companionship. Beyond rapid-response hardware troubleshooting and node replacement, when your research group encounters compilation challenges deploying novel Molecular Dynamics (MD) force fields or new deep learning frameworks, our expert team provides deep technical assistance, ensuring your research progress is never delayed by IT hurdles.