Enabling Scalable AI Innovation With a Custom-Built AI Lab

As the automotive industry increasingly embraces AI for design, simulation, and testing, establishing a unified AI Lab is crucial for streamlining development. Orbit Techsol partnered with a leading automotive company to create an AIHub-powered AI Lab that delivers the computing power and scalable GPU resources necessary for complex engineering tasks. This lab enhances GPU utilization, simplifies workflows, and features a transparent billing model, driving faster and smarter innovations within the industry.

Higher Efficiency

Optimized GPU

utilization with virtualization

Centralized AI Lab

All GPU & HPC workloads
controlled in one place

Cost Transparency

Real-time usage-based
billing for cost control

Client Background

The client operates within a rapidly evolving automotive industry where simulation, model training, and AI-driven testing are critical. They required a sophisticated environment to allow their teams and customers to run GPU-intensive workloads efficiently and securely.

The Challenge

  • No centralized system to host and manage AI workloads.
  • No mechanism to calculate GPU/HPC consumption.
  • Existing systems are not designed for growing AI workloads.
  • Automotive R&D required high compute performance for simulations and modeling.

The Solution

01
Developed a complete end-to-end AI lab with GPU
clusters and HPC nodes, featuring centralized control.
02
Integrated AIHub to provide a unified dashboard
for monitoring and managing all AI workloads.
03
Implemented an automated billing engine to track
GPU usage and generate user-specific reports.
04
Collaborated with HPE and Fortinet to ensure
strong infrastructure and security.

The Result

AI-First Strategy with AIHub

The implementation of the custom AI Lab has equipped the client with a modern, scalable, and easy-to-manage platform that effectively supports their growing technological needs. By combining the right infrastructure, tools, and expertise, Orbit Techsol has enabled the organization to streamline its AI operations and enhance overall efficiency. This initiative not only strengthens the client’s current capabilities but also prepares them for future innovations, ensuring they remain competitive in a rapidly evolving automotive landscape.

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