AI Data Center Power, Cooling and Water Calculator
Estimate AI rack power, grid draw, cooling duty and water use. Compare wet towers, air-cooled chillers and dry cooling with PUE, WUE and annual totals.
Hardware sizing for AI: how much GPU memory and speed a language model needs for its size, quantization and context length.
Estimate AI rack power, grid draw, cooling duty and water use. Compare wet towers, air-cooled chillers and dry cooling with PUE, WUE and annual totals.
Size a PC or multi-GPU AI rig PSU from wattages, check ATX 3.1 transients, estimate wall power and yearly cost, and explore 12V-2x6 contact heating.
Size solar arrays, eclipse batteries and radiators for an orbital AI data center. Compare temperature, orbit geometry, launch mass and launch-price assumptions.
Find which local LLMs fit your GPU, Mac or CPU—or which hardware fits a model. Compare KV memory, prefill, decode, runtime support and measured speed references.
Estimate KV cache capacity, concurrent requests, queue delay and streaming latency. Compare parallel agent completion and cost against local server and API limits.
Estimate inference and training VRAM, maximum sequence length and microbatch, runtime and cost for full fine-tuning, LoRA and QLoRA. Compare GPU sharding, checkpointing and editable MFU assumptions.
Estimate AI agent costs with growing history, cache expiry, mixed models, retries and human review. See cost per run, per month and per successful task.
Compare 2×3090, RTX 5090 and Apple silicon. Plan layers, tensor parallelism or MoE experts in RAM, with per-device memory, prefill/decode estimates and cited benchmarks.
Compare owning an AI rig, renting a GPU and using an API. Include prefill, decode, idle power, resale, upkeep, caching and reasoning tokens to find cost per million tokens and break-even.
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