AI FACTORIES for scientific research

Scalable HPC and AI Platforms Engineered

by Atipa Technologies

Atipa Technologies offers AI Factories for Scientific Research—integrated, high-performance computing (HPC) platforms optimized for scientific research at scale. These modular systems combine GPU-accelerated compute nodes, high-throughput storage, and orchestration frameworks to support AI-driven workflows across disciplines such as computational biology, materials science, and climate modeling. Designed for rapid deployment and seamless integration with existing research environments, Atipa’s AI Factories enable parallelized data processing, model training, and simulation tasks, dramatically reducing time-to-insight and enhancing reproducibility in scientific discovery.

Accelerating Discovery with AI Factory Infrastructure

The pace of scientific discovery is no longer limited by human ingenuity—it's constrained by computational capacity. From genomics and drug discovery to climate modeling and materials science, research institutions are generating data at unprecedented scales while simultaneously needing to run increasingly complex AI models to extract meaningful insights. Traditional computing infrastructure simply cannot keep pace with these demands. AI Factories represent the next evolution in scientific computing: purpose-built, integrated systems that combine high-performance computing, massive-scale data storage, and optimized AI/ML capabilities into a unified platform designed specifically for the iterative nature of modern research.

Purpose-Built Infrastructure for the Research Lifecycle

Atipa Technologies' AI Factory solutions are engineered to support the complete scientific research workflow—from data ingestion and preprocessing through model training, simulation, and validation. Unlike general-purpose data centers or cloud environments, our AI Factories integrate GPU clusters, high-throughput storage systems, and ultra-low-latency networking in configurations optimized for the specific demands of scientific computing. Whether you're training foundation models on petabytes of experimental data, running thousands of molecular dynamics simulations, or processing real-time data from particle accelerators, our solutions provide the computational density, memory bandwidth, and I/O performance that research breakthroughs demand.

Partnering with Research Institutions to Advance Science

We understand that every research institution has unique requirements, existing infrastructure investments, and budgetary constraints. Atipa works closely with universities, national laboratories, and private research organizations to design AI Factory solutions that integrate seamlessly with existing HPC environments while providing a clear path for future expansion. Our team brings decades of experience in scientific computing, from system architecture and deployment through ongoing optimization and support, ensuring your researchers spend less time managing infrastructure and more time making discoveries that change the world.

FP64 Workloads: Simulation, Modeling, and HPC

For double-precision (FP64) tasks—critical in physics, engineering, and computational chemistry—Atipa integrates:

NVIDIA H200 NVL (PCIe)

Built for memory-bound scientific workloads

Enhanced memory bandwidth and capacity

Ideal for large-scale simulations and AI-enhanced modeling

NVIDIA H200 and B200 HGX™ Platforms

Multi-GPU scalability for massive parallelism

Optimized for FP64 performance across scientific domains

Supports CUDA, OpenACC, and HPC libraries

These systems deliver the compute density and reliability needed for sustained research workloads.

FP32 Workloads: AI Training, Inference, and Visualization

For single-precision (FP32) tasks—such as training deep learning models, image analysis, and real-time inference—Atipa offers

NVIDIA RTX PRO™ 6000 Blackwell Server Edition

Designed for AI model development and deployment

Exceptional FP32 throughput for training and inference

Server-grade reliability with advanced cooling and power efficiency

This GPU is ideal for research teams working on AI-driven discovery, from medical imaging to particle physics.

Integrated Solutions From Atipa

Atipa Technologies delivers high-performance computing solutions tailored for advanced AI and scientific research:

Custom HPC and AI Clusters featuring:

• NVIDIA H200 NVL

• NVIDIA H200 and B200 HGX™

• NVIDIA RTX PRO™ 6000 Blackwell configurations

Flexible Deployment Options:

• Bare metal provisioning or turnkey systems

• Designed for research institutions, national laboratories, and enterprise R&D environments

Scientific Software Stacks:

• Machine learning frameworks: TensorFlow, PyTorch, JAX, Keras, …

• HPC and simulation codes: OpenFOAM, GROMACS, GADGET, LQCD, …

Whether you're modeling cosmological phenomena, simulating molecular dynamics, or decoding genomic data, Atipa’s HPC and AI clusters provide the computational power and software ecosystem to push the frontiers of scientific discovery.

Partner with Atipa Technologies