Price list for 1 6TAI servers for data center interconnection

The cost of 1.6TAI AI servers varies widely depending on configuration, GPU count, and data center requirements, typically ranging from $50,000 to $150,000 per node, with additional costs for power, cooling, and interconnect infrastructure.

Server Hardware Costs

High-performance AI servers like the 1.6TAI are designed for dense GPU workloads and data center interconnection. Each node may include multiple NVIDIA H100 or H200 GPUs, high-core-count CPUs, and large memory configurations. Based on comparable HPE and Dell AI server models, per-node hardware costs can range from $50,000 to $150,000, depending on GPU count, storage, and networking options . Pre-configured HPE ProLiant or Dell PowerEdge servers provide a starting point for pricing, with options for AI acceleration and rack-optimized designs.

Power and Cooling Considerations

1.6TAI servers are power-intensive, often consuming 5–7 kW per node, which is significantly higher than traditional servers . This impacts rack density, as only 8–9 high-performance nodes fit in a standard 42U rack. Cooling and power infrastructure must be upgraded to handle 50–65 kW per rack, including UPS, PDUs, and airflow management . These operational costs can double or triple the total cost per rack compared to standard servers.

Networking and Interconnect Costs

For data center interconnection, high-bandwidth, low-latency networking is essential. Costs include InfiniBand or NVLink switches, fiber optics, and cabling, which can add $10,000–$30,000 per rack depending on topology and distance between nodes . Dense AI clusters may require specialized interconnects to maintain performance at scale.

Total Cost of Ownership (TCO)

Using data center cost calculators, the multi-year TCO includes:

• Hardware CapEx (server purchase)
• Power and cooling OpEx (based on PUE, typically 1.6 for small rooms)
• Maintenance and support (8–15% of hardware value per year)
• Networking and interconnect infrastructure For example, a single 1.6TAI node with 6–8 GPUs may have:
• Hardware CapEx: $75,000–$120,000
• Annual power & cooling: $10,000–$20,000 per node (depending on local electricity rates and PUE)
• Support & maintenance: $6,000–$18,000 per year

Recommendations

• Request vendor quotes for exact 1.6TAI configurations, as prices vary by GPU, CPU, and memory options.
• Include interconnect and cooling costs in your budget, as these can exceed hardware costs in dense AI deployments.
• Use a TCO calculator to model 3–5 year costs, including CapEx and OpEx, for accurate financial planning . By combining hardware pricing, power/cooling estimates, and interconnect costs, organizations can plan for $100,000–$200,000 per rack for fully configured 1.6TAI AI server clusters ready for data center interconnection .