AI Server Components Price List

AI server costs vary widely, from $150,000 for entry-level 4x GPU servers to over $3 million for high-end multi-GPU configurations, with GPUs being the primary cost driver.

GP

U CostsHigh-performance GPUs dominate AI server pricing, accounting for 60–75% of total cost. Common options include: NVIDIA A100: Supports up to 312 TFLOPS, suitable for mid-range AI workloads.

NVIDI

A H100: Scales to 1,000+ TFLOPS for mixed-precision tensor operations, ideal for large-scale training. GB200 NVL72: Used in top-tier servers, pushing total system costs to $3M.

GP

U selection impacts memory requirements, interconnects, and overall server efficiency, with NVLink 4 and NVSwitch improving multi-GPU communication.

Server Platform Costs

The server platform, including CPU, RAM, storage, and chassis, typically represents 15–25% of total cost. Examples of configurations: Supermicro SYS-421GE-TNRT: ~$165,000, suitable for inference and smaller training runs. Supermicro SYS-421GU-TNX: ~$340,000, supports models up to 70B parameters.

Supermicro SYS-421GU-TNXR: ~$400,000, designed for long-context inference and multi-modal AI.

CP

U generation, PCIe/NVLink interconnects, and cooling redundancy are key factors in platform pricing.

Networking and Storage

Networking and storage contribute 5–10% of total cost for multi-node clusters. High-bandwidth interconnects, low-latency networking, and dense storage are essential for AI workloads, especially in GPU-intensive servers.

Additional Cost Considerations

Power and Cooling: AI servers consume 5–7 kW per node, requiring advanced cooling and power distribution, which can double or triple per-rack costs. Rack Density: High-performance nodes in 5U configurations reduce the number of servers per rack, increasing infrastructure costs. Operational Costs: Maintenance, backup storage (100–500 GB), and DDoS protection add to total cost of ownership.

Vendor Options

Top A

I server manufacturers include Supermicro, Dell, and HPE, offering modular configurations, liquid cooling, and professional services for deployment and lifecycle management. Prices vary depending on GPU count, server platform, and additional services. SummaryEntry-level AI server (4x H100 GPUs): ~$150,000Mid-range server (8x H100 GPUs): ~$340,000–$400,000High-end server (GB200 NVL72): ~$3,000,000Primary cost driver: GPUs (60–75% of total)Other costs: CPU, RAM, storage, networking, cooling, and power infrastructure For daily updated component prices across multiple vendors, AI Hardware Index provides a comprehensive tracker ranging from $109 to $500k+ for GPUs, servers, and accelerators.

This breakdown helps in budgeting AI infrastructure, balancing GPU performance, memory, storage, and network throughput to optimize both CAPEX and OPEX.