AI Computing Servers
High-performance AI computing servers and GPU platforms for machine learning training, inference, and high-performance computing. From single GPU workstations to multi-GPU clusters.
Featured Products
NVIDIA DGX/HGX Systems
Purpose-built AI supercomputers for large-scale model training with NVLink interconnect.
- H100/H200 GPUs
- NVLink/NVSwitch
- NVLink interconnect
- DGX Cloud ready
Dell PowerEdge XE Series
GPU-optimized servers for AI/ML workloads with flexible configurations.
- Up to 8x GPUs
- iDRAC management
- Flexible GPU options
- Air/liquid cooling
HPE ProLiant RL/GN Series
AI-optimized servers with HPE iLO management and liquid cooling options.
- HPE iLO 6
- Direct liquid cooling
- Up to 8x GPUs
- HPE GreenLake
AI Inference Servers
Cost-effective inference-optimized servers for deploying trained AI models at scale.
- NVIDIA L4/L40S
- Intel Gaudi
- Low power design
- High throughput
GPU Workstations
Desktop AI workstations for development, testing, and small-scale training.
- RTX 4090/6000 Ada
- 64-512GB RAM
- NVMe storage
- Quiet operation
AI Storage & Networking
High-speed storage and networking infrastructure for AI data pipelines.
- NVMe all-flash arrays
- 100G/400G networking
- Parallel file systems
- QNAP/Synology NAS
Authorized Brands
Frequently Asked Questions
What is the difference between AI training and inference servers?
Training servers need high computational power (multiple high-end GPUs like H100/H200, fast interconnects like NVLink) to train AI models. Inference servers are optimized for running trained models efficiently — they can use fewer or lower-power GPUs (L4, L40S) and focus on throughput and latency. We supply both types.
How many GPUs do I need for AI model training?
It depends on the model size. Small models (under 7B parameters) can train on 1-4 GPUs. Medium models (7B-70B) typically need 4-8 H100 GPUs. Large models (70B+) may require multi-node clusters. Our team can help size the right GPU cluster for your workload.
Do you offer liquid cooling solutions for AI servers?
Yes! We supply both air-cooled and direct liquid cooling (DLC) solutions from Dell, HPE, and custom rack integrators. Liquid cooling is recommended for 4+ GPU servers to reduce power consumption and noise.
Can JSA Solution help build a complete AI computing center?
Yes! We provide end-to-end AI computing center solutions — from server procurement and GPU cluster design to storage, networking, cooling, and rack infrastructure. Visit our AI Computing Center solution page for details.
What is the price range for AI computing servers?
GPU workstations start around ¥50,000, single-GPU inference servers from ¥80,000, and 8-GPU training servers from ¥800,000. Pricing varies by GPU model and configuration. Contact us for a detailed quote.
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