At our core, we specialize in the intricate design phase of supercomputing, making architectures tailored to the unique demands of AI workloads, scientific simulations, and beyond. Our team brings decades of expertise; our key engineers were responsible for designing and building Ecuador's first and only supercomputer, Quinde I.

We have extensive experience designing HPC systems for workloads like molecular dynamics, quantum chemistry, and machine learning. Our expertise spans CPU/GPU architectures, high-speed interconnects (e.g., Mellanox Infiniband EDR at 100 GB/s), and NUMA-based memory hierarchies. We’ve supported applications from climate modeling to granular material simulations, aligning with tools like GROMACS, NAMD, and TensorFlow.

Our design process prioritizes performance modeling before hardware commitments. Using tools like CASTEP and SIESTA, we simulate system behavior to predict throughput and identify bottlenecks. We balance performance, efficiency, and cost by optimizing node configurations and interconnects within budget constraints. Our modular designs can optionally support GPU expansions and node upgrades for long-term scalability.

We tailor architectures to specific workloads, optimizing for software like GROMACS, Gaussian, or PyTorch by fine-tuning CPU/GPU ratios and I/O bandwidth. Clients receive clear deliverables: a detailed architecture blueprint, precise hardware and network specifications, performance benchmarks showing accelerated results (e.g., 15-minute runs vs. year-long traditional methods), and an upgrade roadmap for sustained relevance. Our designs empower clients to tackle ambitious scientific challenges with precision and confidence!