A Saitech Inc. High-Performance AI Infrastructure Deployment
A fast-growing AI cloud service provider partnered with Saitech Inc. to expand its infrastructure for modern LLM workloads, increased concurrency, and high-density GPU hosting. Saitech engineered and delivered a next-generation GPU compute architecture built on the ASUS ESC8000 platform, powered by AMD EPYC processors and NVIDIA Blackwell GPUs. The deployment included advanced AI hardware totaling over $260,000, providing the AI cloud service provider with a scalable, high-performance foundation designed for current and future AI workloads.
Customer Requirements and Challenges
The AI cloud service provider needed a GPU compute platform capable of:
- Supporting large-scale LLMs (34B–70B+ parameters)
- Delivering consistent multi-tenant performance
- Increasing GPU density per rack
- Protecting long-term infrastructure investments
These requirements guided Saitech’s technical approach and shaped the final architecture, ensuring a solution that met both current workload demands and future growth.
Saitech’s Technical Approach
Saitech analyzed the AI cloud service provider’s workload patterns, execution models, concurrency requirements, and long-term growth plans. The solution architecture was designed to balance memory capacity, PCIe bandwidth, GPU density, and CPU-to-GPU alignment for optimal AI performance. The ASUS ESC8000 platform was selected for its ability to meet these technical requirements while providing flexibility for future GPU generations.
Delivered Architecture (Per Node)
- 2 × AMD EPYC (32-core) processors
- 512GB DDR5 Micron Memory
- 2 × 1.92TB U.2 NVMe Samsung SSDs
- 8 × NVIDIA RTX 6000 Blackwell GPUs
Three fully integrated GPU compute nodes were deployed, totaling over $260,000 in advanced AI infrastructure.
Impact on the AI Cloud Service Provider
Technical Impact:
- Enabled support for large-scale LLMs with long context windows
- Delivered high-concurrency multi-tenant performance
- Accelerated model deployment through NVMe storage
- Provided forward compatibility with future NVIDIA GPU architectures
Business Impact:
- Increased GPU rental capacity and revenue scalability
- Strengthened competitive differentiation
- Improved infrastructure efficiency and consistency
- Secured long-term value through a scalable architecture
Why Saitech Inc. Was Selected
The AI cloud service provider chose Saitech for its deep expertise in AI infrastructure, proven engineering excellence, and strong vendor partnerships. Saitech delivered a turnkey GPU compute system that aligned perfectly with the provider’s growth strategy and performance objectives.
Future-Ready AI Infrastructure
The deployment of the ASUS ESC8000 platform, powered by AMD EPYC processors and NVIDIA Blackwell GPUs, provides the AI cloud service provider with a high-performance, scalable foundation for modern AI workloads. Saitech delivered a robust architecture that meets current demands while preparing the provider for the next generation of AI innovation.
