KEYAN calculation provides custom, top-tier GPU-accelerated server solutions exclusively designed for universities, research institutes, and scientific enterprises. Facing the immense computational demands of million-atom Molecular Dynamics (MD) simulations, massive machine learning data training, and the secure, on-premise private deployment of cutting-edge large language models (like the Gemma 4 series), traditional computing architecture often falls short.
Our all-postgraduate expert team crafts high-end GPU compute nodes featuring exceptional massive parallel processing and tensor computation capabilities to thoroughly shatter the bottlenecks of complex multi-scale physical simulations and AI training. Beyond delivering a robust hardware foundation, we delve into deep hardware-software ecosystem optimization for your research. KEYAN calculation leverages extreme heterogeneous computing momentum to fully accelerate your top-tier journal publications and core technological breakthroughs.
Engineered for long-timescale simulations of complex macromolecules. Powered by top-tier compute graphics cards, we reduce the simulation time for million-atom protein folding or polymer relaxation from months to days. Keyan calculation's extreme parallel hardware optimization ensures every nanosecond trajectory evolution achieves unparalleled computational efficiency.
Accelerating the application of machine learning in materials science. Our heterogeneous computing nodes provide massive tensor computation for Graph Neural Networks (GNN) and deep generative models. Rapidly predict catalytic activity and mechanical properties from massive compound libraries, completely replacing traditional trial-and-error with targeted, top-tier candidate selection.
Guaranteeing the absolute security of your core data and research formulas. We provide institutes with fully localized deployment solutions for advanced LLMs (like the Gemma 4 architecture). Operating entirely offline, all core inference and generation are executed within exclusive high-performance physical nodes, building an indestructible IP fortress.
Revolutionizing traditional Finite Element Analysis (FEA) solver engines. By deploying AI algorithms like Physics-Informed Neural Networks (PINNs), our GPU platforms rapidly construct highly accurate surrogate models for complex fluid or thermodynamics. Compress weeks-long transient field simulations to milliseconds, driving ultra-fast engineering design iterations.
GPUs possess thousands of stream processors specifically designed for massive parallel computing. When handling complex tensor operations, Graph Neural Network (GNN) training, or the 3D spatial evolution of million-atom systems, GPUs deliver throughput dozens of times higher than pure CPUs, thoroughly shattering the computational bottlenecks of highly concurrent tasks.
VRAM size directly determines the model parameter scale and batch size you can load. Our all-postgraduate expert team calculates and recommends the optimal top-tier graphics card combinations based on the specific cutting-edge models you plan to deploy (such as the Gemma 4 architecture) and the size of your exclusive datasets, avoiding both computational waste and out-of-memory errors.
We provide 100% physically isolated, on-premise deployment solutions for universities, research institutes, and enterprises. All your core inference, fine-tuning data, and material design formulas never connect to the public cloud. They run in a closed loop within your exclusive, high-security compute nodes, completely eliminating data leak risks and building an indestructible IP fortress.
Yes. KEYAN calculation provides out-of-the-box, research-grade pre-installation services. Beyond precisely aligning underlying drivers and the CUDA Toolkit, we configure specific versions of PyTorch, TensorFlow, and various proprietary Molecular Dynamics software tailored to your needs, saving you from tedious low-level environment debugging.
We integrate high-speed interconnect technologies (such as NVLink or high-speed PCIe buses) within our multi-GPU architectures to overcome traditional bandwidth limitations. This enables ultra-fast, massive data sharing between GPU nodes, ensuring your distributed AI training and long-term, highly concurrent physical simulations continuously run at peak efficiency.
To address high-density computational heat, we customize rigorous, enterprise-grade cooling architectures. Through optimized airflow layouts and intelligent temperature control systems, we ensure your foundational hardware maintains ultra-stable computing output even during long-timescale, complex multi-physics simulations, never interrupting your research progress.
We are not just hardware vendors; we are professional scientific partners. Our expert team deeply understands computational science and can provide deep integration and optimization for your high-throughput novel material screening codes or multi-physics dimension-reduction solvers. We squeeze every drop of performance from the GPU architecture to accelerate your top-tier publications.
For sudden or short-term computing demands, we offer highly flexible cloud GPU computing rental services. You can bypass heavy initial hardware investments and dynamically allocate top-tier computing resources on demand, empowering your core projects to rapidly acquire critical data at a very low cost.
Tell us what you're working on—our PhD-level team will respond quickly with a tailored solution and quotation (DFT/MD/FEM/CFD, 200+ PFlops compute resources, or end-to-end manuscript support).
