- Crusoe’s **Digital Flare Mitigation (DFM)** technology is deployed directly to oil well sites to convert stranded gas, which would otherwise be wasted and flared, into electricity to power modular data centers housed in 40-foot shipping containers. - Crusoe’s DFM technology offers oil producers an economic and operationally practical alternative to natural gas flaring. Through a process called stoichiometric combustion Crusoe says its DFM technology achieves a combustion efficiency of 99.9% (versus an average of 91.1% for flares), reducing methane emissions approximately 99% and carbon dioxide equivalent emissions by up to 68.6%. - Moving gas and power is more difficult than moving data so it's important to bring the equipment necessary to process intensive computing workloads to the source - The scale-up’s data centers support high-performance computing including cryptocurrency transaction processing (mining) as well as CrusoeCloud, a cloud computing platform for **computational biology, artificial intelligence and 3D rendering.** - The draw for oil producers is that they **generate some revenue from gas** that would otherwise go to waste while reducing their environmental footprint. The advantage for companies that need a lot of processing power, such as AI startups, is that they **can buy greener energy at a steep discount.** - Crusoe says its deployed fleet of flare-eliminating data centers have a capacity to reduce CO2-equivalent emissions estimated at 650,000 metric tons per year, comparable to removing approximately 140,000 cars from the road. - **Crusoe pays companies like Kraken a fee “far below market price” to capture the waste gas**, creating a “greater than zero” revenue stream for the waste gas while helping oil and gas companies reduce their environmental footprint - Crusoe says it is also able to power advanced computing needs **without putting additional demands on the energy grid.** - Increased demand for digital services means that **data centers and data transmission networks each account for about 1% to 1.5% of global electricity use today.** The International Energy Agency predicts an 8X increase by 2030, thanks to the expanded application of blockchain, machine learning, AI, and other emerging services and technologies. - “We are seeing an increase in the demand from AI companies for Large Language Model training and have built a platform that is suited for those customers,” says Lochmiller. “Growing our Cloud business is also a major focus. What we are trying to do for AI and Cloud computing is to show people it can be cheaper to do things in a clean way. **Our prices are 50% to 60% cheaper,** so we are talking about meaningful cost savings. There is tremendous interest,” he says.