Source: Fortune
Summary
Acres, a geospatial data intelligence company, is investing in its own GPU cluster to train models and run site-selection analyses faster and at lower cost. The company’s founder, Carter Malloy, believes owning their own compute will be a competitive edge. Acres is using the GPUs to process large amounts of geospatial data and develop new AI-powered search functionality. The company is rolling out its new platform to enterprise customers, but is cautious not to onboard too quickly.
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The strategy enters a familiar phase.
Acres’ investment in GPUs is a bet on owning its own compute as a competitive edge. The company is processing large amounts of geospatial data, including vector and raster layers, which requires significant computational power. By bringing GPUs in-house, Acres can train models and run analyses faster and at lower cost. The company’s founder, Carter Malloy, is enthusiastic about the potential of combining geospatial data with AI, but is also cautious about keeping up with demand and not getting ahead of themselves. The fact that Acres is carefully rolling out its new platform to customers suggests that the company is aware of the risks of rapid growth.
Malloy’s excitement about the potential of geospatial AI is palpable, but it’s also a reminder that startups often move faster than they can handle.
Author: Evan Null
