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Recogni

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Next-generation AI inference hardware systems that use logarithmic mathematics for high-speed, energy-efficient generative AI compute in datacenters.

Site:https://www.recogni.com/
Adicionado em:13 de jul. de 2026
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34.3K
Redes sociais e e-mail:
AI inferencegenerative AI hardwarelogarithmic mathenergy-efficient AIdatacenter AImulti-modal AI
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Informações da ferramenta

O que é Recogni?

Recogni (official site redirects to Tensordyne) designs and delivers AI inference systems optimized for blistering speed, unmatched energy efficiency, and lower cost of serving large-scale generative, multi-modal, MoE, and agentic AI workloads. Its Napier systems are driven by logarithmic math and the lowest-latency scale-up interconnect, making AI inference faster and cheaper for datacenter and on-premises environments. The Napier system is described as entering high-volume manufacturing in 2026, with SDK and technical deep dive listed as coming soon.

Recursos principais

  • Napier Math

    Logarithmic math architecture that accelerates AI workloads with high speed and energy efficiency.

  • Napier Chip

    Next-gen 3nm silicon purpose-built for multi-modal generative AI inference at a fraction of standard energy costs.

  • Napier Compute Tray

    Compute tray component of the Tensordyne Napier AI inference system.

  • Napier Scale-up Interconnect

    Lowest-latency scale-up interconnect enabling any-to-any cell-based connectivity and seamless linear scaling.

  • Air-Cooled Napier System

    Fully air-cooled AI inference system designed to fit data centers everywhere and serve thousands of users simultaneously at low cost.

Casos de uso

  • #1

    Realtime 4K Video Generation

    Generates 4K content at 30 FPS to unlock conversational AI video, enabled by any-to-any cell-based scale-up interconnect for seamless linear scaling.

  • #2

    Multi-Trillion Parameter Mixture of Experts

    Optimized for DeepSeek-V4 and larger MoE models using EP72 parallelism and TDN Link to serve giant models at 2x the speed of leading solutions.

  • #3

    High-Speed Agentic Coding

    Supports high-speed agentic coding workloads on the Napier inference system.

Melhor para:HyperscalersNeo CloudsEnterprise On-Prem

Planos de preços

No pricing model or cost details are stated on the official site.

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Perguntas frequentes

What is Recogni?
Recogni is a provider of next-generation AI inference hardware systems that use logarithmic mathematics for high-speed, energy-efficient generative AI compute in datacenters. Its official site redirects to Tensordyne, the home of the Napier AI inference systems.
What is Napier Math?
Napier Math is a logarithmic math architecture that accelerates AI workloads with high speed and energy efficiency, forming the foundation of the Napier inference systems.
Who is Recogni / Tensordyne designed for?
The systems target hyperscalers, neo clouds, and enterprise on-premises deployments that need high-speed, energy-efficient inference for generative, multi-modal, MoE, and agentic AI workloads.
Is pricing publicly available?
No pricing model or cost details are stated on the official site.
Is the Napier SDK available?
The SDK is listed as coming soon on the official source. A technical deep dive is also listed as coming soon, and the Napier system is described as entering high-volume manufacturing in 2026.
What platforms does it support?
The systems are designed for datacenter and on-premises environments, including a fully air-cooled Napier system that fits data centers everywhere.

Recogni Contato e mídias sociais

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Informações da ferramenta

Modelo de preçosUnknown
CategoriaChatbots e LLM
Tags
AI inferencegenerative AI hardwarelogarithmic mathenergy-efficient AIdatacenter AImulti-modal AI
IdiomaInglês
Última atualização16 de jul. de 2026
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