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Recogni: Revolutionizing Generative AI Inference with Pareto AI Math

Recogni

Recogni's Pareto AI Math transforms generative AI inference, offering 24x more tokens per dollar, 99.9% accuracy, and blazing speeds. Ideal for hyperscalers, cloud providers, and enterprises.

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Recogni: Revolutionizing Generative AI Inference with Pareto AI Math

Recogni: Revolutionizing Generative AI Inference Compute for Data Centers

Recogni is at the forefront of generative AI, introducing Pareto AI Math to redefine how the world utilizes this transformative technology. Their innovative approach focuses on delivering profitability, sustainability, and accuracy in generative AI inference systems.

Key Features and Benefits

  • Profitability: Recogni's technology achieves 24x more tokens per dollar, making generative AI accessible to a wider range of users and profitable for cloud service providers.
  • Sustainability: Leveraging the latest 3nm TSMC technology node ensures optimal energy efficiency and cost reduction.
  • Accuracy: Maintains over 99.9% accuracy even after quantization, ensuring high-quality results.
  • Speed: Employs HBM3e memory for maximum bandwidth, leading to significantly faster output speeds.
  • Scalability: Supports tensor parallelism across more than 100 chips, enabling the handling of larger models and ultra-low latencies.
  • Ease of Use: A streamlined compiler minimizes compilation time, even for extensive models, to under 10 minutes for Llama 405b.

Technology Deep Dive

Recogni's Pareto AI Math is a core component of their system. It significantly reduces power consumption (4x less than standard math) without compromising model quality. This hardware-software co-design approach optimizes performance across the entire stack, from hardware design and early emulation to software development closely aligned with customer needs.

Target Audience

Recogni's solutions are tailored for hyperscalers, cloud service providers, and enterprises seeking efficient and cost-effective generative AI inference capabilities.

Comparisons

Compared to other solutions, Recogni's system stands out due to its superior efficiency, scalability, and accuracy. The combination of Pareto AI Math and advanced hardware design results in significantly lower power consumption and faster processing speeds, making it a compelling choice for organizations looking to deploy large-scale generative AI models.

Conclusion

Recogni is reshaping the landscape of generative AI inference. Their commitment to innovation, efficiency, and customer alignment positions them as a key player in the future of AI. The Pareto AI Math and the overall system design offer a compelling solution for organizations looking to harness the power of generative AI while optimizing costs and resources.

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