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The Science of GPU Heat Recovery: Turning FLOPS into Warmth

November 8, 2024IWS Thermal Engineering7 min read

Every floating-point operation generates heat. Every matrix multiplication warms a tensor—and at IWS, every warm tensor warms a family. Today, we're diving deep into the thermodynamics behind our eco-friendly (allegedly) infrastructure.

The Physics of GPU Heating

An NVIDIA H100 GPU consumes approximately 700 watts under full load. Thanks to the laws of thermodynamics (specifically the first one), nearly 100% of that electrical energy is converted to heat. This isn't a bug—it's our entire business model.

At IWS scale, our GPU fleet generates:

Our Heat Recovery Architecture

Traditional data centers pump their heat into the atmosphere and call it a day. We call that "thermal waste" and also "a missed revenue opportunity."

The IWS Thermal Recovery System (TRS™) works as follows:

Stage 1 - GPU-Level Extraction: Custom liquid cooling blocks capture heat directly from GPU dies at temperatures up to 85°C. This is hot enough to make tea, though we don't recommend it.

Stage 2 - Pod Aggregation: Heat from 8-GPU pods is aggregated into a primary loop running at 65°C—optimal for residential heating applications.

Stage 3 - District Distribution: Heated water is pumped through insulated pipes to connected apartment buildings, typically within a 2km radius. Beyond 2km, we just build another data center.

Stage 4 - Apartment Delivery: Standard hydronic radiators in apartments receive the GPU-warmed water. Residents often report their apartments smell faintly of gradient descent.

Thermal SLAs

Unlike traditional cloud providers, IWS offers Thermal Service Level Agreements:

Yes, we have literally created a system where AI inference is used for emergency heating. The future is now.

The Economics of Warmth

Our heat recovery system creates a virtuous economic cycle:

Environmental Impact*

By replacing traditional gas and electric heating, IWS heat recovery prevents an estimated:

*These figures were calculated by our marketing team using a methodology we describe as "optimistic." Independent verification is pending and will remain pending indefinitely.

What Happens When Demand Drops?

A common question: what happens to apartment heating when GPU demand is low?

Answer: GPU demand is never low. We're IWS. But hypothetically:

🌡️ Heat by the Numbers

Training GPT-4-scale model: 3,400 apartment-hours of heat. Single inference request: 0.0003 apartment-seconds. Your fine-tuning job: probably one family's hot shower.