NOLA AI today announced the launch of Atomic Speed, a groundbreaking optimization technology that slashes training time and compute costs across all major AI model architectures. By harnessing pure algorithmic innovation rather than relying on ever-expanding data centers and GPU farms, Atomic Speed upends the industry’s hardware-centric approach and redefines how intelligence is built, scaled and deployed.
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Revolutionary results released today by NOLA AI—available now at www.nola-ai.com—demonstrate that these novel techniques can reduce training epochs by 2–4× and slash per-step compute time by over 50%, all while achieving identical model quality. For enterprises, the economic impact is immediate and substantial. AI models that used to take weeks to train can now reach peak performance in days. Massive models like GPT-4 or Gemini Ultra could each have saved over $100 million by using Atomic Speed.
“These results underscore our mission to shake up the AI status quo,” said Scott Kauffman, Chairman of NOLA AI. “While tech giants pour billions into bigger models and faster chips, Atomic Speed proves that mathematical elegance can outperform brute-force hardware spending. We’re empowering organizations of every size to innovate without breaking the bank. Atomic Speed’s private beta will give early adopters a chance to redefine their AI roadmaps and reclaim control over costs, energy usage and time to market.”
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NOLA AI is now accepting applications for its Atomic Speed private beta. Selected participants will gain access to the full optimization framework, hands-on support from the development team, and opportunities to influence product roadmaps. Interested organizations—ranging from startups and enterprise engineering teams to academic labs—can Applicants will be chosen based on their compute requirements, use cases, and commitment to collaborative feedback.
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