Aytubi Transformed Petrochemical Design Simulations with On-Demand GPU Infrastructure from Cloud4U
Executive Summary
Aytubi, a petrochemical design software developer, faced a major infrastructure challenge: its simulation workloads required high-performance GPU resources, but project-based demand made owning dedicated hardware inefficient and costly.
Cloud4U delivered flexible, on-demand GPU infrastructure with enterprise-grade NVIDIA A100 and H100 GPUs, enabling Aytubi to scale resources up or down based on project needs, reduce GPU costs by 40–60% compared with hyperscaler alternatives, and avoid more than $200,000 in planned capital expenditure. The result was a more agile, cost-efficient infrastructure model that turned computing capacity into a competitive advantage.
Client Overview
Aytubi develops advanced software for petrochemical plant design, process optimization, and safety analysis. Its applications support complex computational fluid dynamics (CFD) simulations, molecular modeling, and other high-intensity engineering workloads that require substantial GPU performance.
Because Aytubi operates in a project-driven environment, infrastructure demand fluctuates significantly. Active client projects can require large GPU capacity for days or weeks, while usage drops sharply between engagements. This made traditional infrastructure approaches difficult to justify financially and operationally.
The Challenge
Aytubi’s growth was constrained by the mismatch between its simulation requirements and available infrastructure options.
Purchasing GPU servers would have required substantial upfront investment, with hardware likely to depreciate quickly and remain underutilized between projects. At the same time, public hyperscaler GPU instances proved expensive, difficult to forecast, and often unavailable when needed most.
The company needed access to high-performance NVIDIA GPUs, fast storage for large simulation files, reliable infrastructure for long-running jobs, and the ability to scale from small to large multi-GPU environments depending on project requirements.
“We calculated that purchasing the GPUs we needed would cost over $200,000, and they’d be obsolete in 2–3 years,” explained Aytubi’s Technical Director. “Worse, they’d sit idle half the time between projects.”
The Solution
Cloud4U delivered GPU cloud infrastructure purpose-built for simulation-heavy workloads.
Flexible GPU Capacity
Aytubi gained on-demand access to dedicated NVIDIA A100 and H100 GPUs, with the ability to scale from a small baseline configuration to 20+ GPUs for larger simulations. Resources could be provisioned quickly and released as soon as projects were complete, aligning infrastructure usage with billable work.
High-Performance Storage and Multi-GPU Support
Cloud4U provided high-speed NVMe storage for large simulation datasets and supported multi-GPU configurations for parallel workloads. This improved performance for complex simulations while ensuring reliable operation during long-running jobs.
Transparent Pricing and Specialist Support
Simple hourly pricing gave Aytubi predictable infrastructure costs without hidden fees or egress charges. Cloud4U’s technical team also provided support tailored to GPU simulation environments, helping optimize performance and improve efficiency.
Results and Business Impact
Cloud4U’s infrastructure enabled Aytubi to improve cost control, increase simulation capacity, and pursue more ambitious projects.
Lower Costs and Better Financial Predictability
Aytubi reduced GPU infrastructure costs by 40–60% compared with hyperscaler pricing and eliminated the need for more than $200,000 in hardware investment. Moving from CapEx to OpEx improved cash flow management and made project cost estimation far more accurate.
Improved Performance and Scalability
Dedicated GPU access delivered more consistent performance for long-running simulation workloads, while fast provisioning allowed Aytubi to scale from 2 GPUs to 20+ in under 30 minutes. The company also achieved faster simulation completion times and increased the number of concurrent projects it could support.
Stronger Business Flexibility
With infrastructure no longer acting as a bottleneck, Aytubi was able to accept larger and more GPU-intensive projects, improve turnaround times, and compete more effectively in client bids. Access to the latest GPU architectures without hardware ownership also gave the business greater technical agility.
Client Testimonials
“The GPU infrastructure was our biggest constraint. We’d either over-invest in hardware that sat idle, or deal with unreliable, expensive cloud GPUs. Cloud4U solved both problems. We pay only when we need GPUs, the availability is 100%, and we’re saving 40–60% versus the big cloud providers. It’s transformed our economics.”
“For a recent large-scale project, we needed to burst from our typical 2-GPU setup to 16 GPUs for a week-long intensive simulation. With Cloud4U, we provisioned the resources in 30 minutes, ran the simulation successfully, and scaled back down. That flexibility would be impossible with owned infrastructure and prohibitively expensive with hyperscalers.”
Looking Forward
Since adopting Cloud4U’s GPU infrastructure, Aytubi has expanded its ability to take on larger and more complex simulation projects while improving cost efficiency and operational flexibility. The company is now exploring additional GPU-accelerated capabilities, including AI and machine learning for design optimization, as it continues to grow its platform and services.
