AI Servers & GPU Computing

High-performance NVIDIA H100, A100, and GPU clusters optimized for large model training and inference.

NVIDIA H100 Tensor Core GPU Server

Built for large model training and inference, typically configured with 4-GPU or 8-GPU nodes such as the NVIDIA DGX H100.

Core Hardware Specifications

GPU Compute Engine

  • • GPU Configuration: 4 or 8 × NVIDIA H100 Tensor Core GPUs
  • • Architecture: Hopper (TSMC 4N process)
  • • AI Performance: Up to 2,000 TFLOPS (FP8) per GPU
  • • Training Speed: Up to 9x faster than previous generation for large language models

Memory & Interconnect

  • • Memory: 80GB HBM3 per GPU
  • • Memory Bandwidth: 3TB/s per GPU
  • • NVLink: 4 ports (SXM4) / 2 ports (PCIe), up to 900 GB/s bidirectional
  • • Total Bandwidth: Up to 3.2 TB/s (SXM4)

Full Server Build & Ready-to-Use Solutions

We don’t just provide hardware — we help you get up and running quickly.

Complete Server Build & Installation

We assist with full server assembly, software installation, and configuration according to your requirements.

API & AI Agent Deployment

We install and configure APIs, AI agents, and necessary software so you can start using the servers immediately.