Recogni: Revolutionizing Generative AI Inference with Pareto AI Math
Recogni: Revolutionizing Generative AI Inference with Pareto AI Math
Recogni

Discover how Recogni's Pareto AI Math is making generative AI affordable, profitable, and sustainable for cloud service providers.

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Recogni: Revolutionizing Generative AI Inference

Introduction

Recogni, a leader in AI technology, has introduced Pareto AI Math, a groundbreaking innovation that is set to change how the world runs generative AI. This new system promises to make generative AI not only more affordable but also more profitable for cloud service providers, thanks to its ability to process 24x more tokens per dollar.

Key Features

Profitability

Recogni's Pareto AI Math ensures that generative AI is not just affordable but also profitable. By enabling cloud service providers to process significantly more tokens per dollar, Recogni is making AI accessible to a broader audience.

Sustainability

The future-proof GenAI Inference System is designed with sustainability in mind. Using the latest 3nm TSMC technology node, Recogni's silicon guarantees the best possible energy efficiency and cost.

Largest Models

With Tensor Parallelism, Recogni can parallelize AI models across chips, allowing them to run faster and enabling the use of larger models. Scaling to more than 100 chips with a high-bandwidth network unlocks ultra-low latencies and high per-user throughputs.

Highest Speed

Implementing the latest memory technology, such as HBM3e, Recogni ensures the highest output speeds when running generative AI models. This is crucial for applications where speed is a critical factor.

Design and Development Approach

Recogni's performance is a result of best practices and principles of Hardware-Software co-design. This approach allows for continuous optimization and ensures that the innovations are driven by real-world requirements.

Core Technology

Trust

Recogni's models maintain greater than 99.9% accuracy after quantization, ensuring that the quality of results is not compromised.

Cost

Running a model in Recogni's Pareto FP16 math consumes as much power as running that same model in FP4 on other systems, making it economically feasible.

UX

Recogni's compiler guarantees very low compilation times, even for very large modern models, ensuring a seamless developer experience.

The Bigger Vision

Recogni exists to accelerate the world’s AI ambitions. By creating the most efficient exascale multimodal GenAI inference system for data centers, Recogni is paving the way for a future where AI is both powerful and accessible.

Conclusion

Recogni's Pareto AI Math is a game-changer in the field of generative AI. With its focus on profitability, sustainability, and high performance, Recogni is setting new standards for AI inference systems.

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