Two quantum computing researchers just raised €3.5M to fix AI’s runaway energy bill
AI-summarised brief · reviewed before publication
Two quantum computing researchers have raised €3.5M in seed funding for their startup, Ora Computing, to develop a solution to reduce the high energy costs of running large AI models. The company aims to compress AI models, making them more efficient and cost-effective. Ora Computing has successfully compressed a 70-billion-parameter model in just a few hours for under $1,000, significantly reducing the cost. The startup's algorithm can cut memory use by up to 80% and make models up to four times faster while maintaining accuracy. This innovation has the potential to drive the next wave of AI adoption with more compact and efficient models.
💡 Why It Matters
- · Ora Computing's technology addresses a critical pain point in the rapidly growing AI inference market.
- · By enabling companies to run AI models more efficiently, Ora's solution can help reduce the financial and environmental costs associated with large-scale AI deployment.