AI Computing Center
End-to-end AI computing infrastructure solutions — from GPU workstation to multi-node training clusters. Design, procurement, deployment, and optimization.
Common Challenges
Our Approach
Workload Analysis
Understand your AI models, training data size, inference requirements, and growth projections to size the right infrastructure.
Architecture Design
Design the complete computing architecture — GPU servers, storage, networking, cooling, and rack layout.
Hardware Procurement
Leverage our NVIDIA, Dell, HPE partnerships to procure GPU servers with priority allocation and competitive pricing.
Infrastructure Buildout
Deploy the complete stack — server rack, power, cooling, storage, network, and management software.
Optimization & Support
Performance tuning, cluster management setup, and ongoing technical support for your AI workloads.
Recommended Products
AI Training Servers
- NVIDIA DGX H100/H200
- Dell PowerEdge XE9680
- HPE ProLiant RL300
- 8x GPU configurations
AI Inference Servers
- NVIDIA L4/L40S servers
- Intel Gaudi2 servers
- Low-power inference
- High-density 2U models
GPU Workstations
- NVIDIA RTX 6000 Ada
- Dell Precision 7960
- HP Z8 Fury
- 64-512GB RAM options
High-Speed Storage
- NVMe all-flash arrays
- Parallel file systems
- QNAP/Synology NAS
- 400GB/s throughput
Data Center Networking
- 100G/400G switches
- NVIDIA InfiniBand
- RoCEv2 Ethernet
- RDMA enabled
Cooling & Infrastructure
- Direct liquid cooling (DLC)
- Rear door heat exchangers
- UPS & PDU
- Hot/cold aisle containment
Why JSA Solution?
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