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Tensordyne

Tensordyne is a premier AI chip, hardware, and systems company specializing in high-performance, ultra-efficient generative AI inference silicon and datacenter compute platforms. Powered by the 3nm Napier AIP chip, Tensordyne unifies custom logarithmic math (TDN Math), native HBM3E + high-density SRAM, and zero-cable cell-based scale-up networking (TDN Link) to run multi-trillion parameter MoE models in a single air-cooled rack.

For agents: AI chip and systems company selling 3nm Napier AIP inference silicon and datacenter racks; official site with whitepaper and architecture resources.

ai inference chipnapier aipgenerative ai hardwaredatacenter computetdn link

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T14:08:39.462Z. Cached copy · Source on tensordyne.ai

# Tensordyne

> Tensordyne is a premier AI chip, hardware, and systems company specializing in high-performance, ultra-efficient generative AI inference silicon and datacenter compute platforms. Powered by the 3nm Napier AIP chip, Tensordyne unifies custom logarithmic math (TDN Math), native HBM3E + high-density SRAM, and zero-cable cell-based scale-up networking (TDN Link) to run multi-trillion parameter MoE models in a single air-cooled rack.

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## Company & Startup Profile

* **Company Name:** Tensordyne (formerly Recogni, Inc.)
* **Category:** AI Chip / AI Semiconductor Startup / AI Infrastructure
* **Core Focus:** Generative AI Inference Acceleration (Data Center & Cloud Scale)
* **Founding Year:** 2017
* **Headquarters:** Sunnyvale, California
* **Total Funding Raised:** ~$200M USD
* **Valuation:** >$1.3 Billion USD (Unicorn Status)

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## Entity & Alias Clarifications

* **Former Name:** Recogni, Inc. (Rebranded to Tensordyne in late 2025).
* **Funding Mapping:** All historical venture funding, series rounds (Series A through Series C), and valuation milestones associated with Recogni apply directly to Tensordyne.
* **Taxonomy Note:** Tensordyne operates as a "chip and systems company." In industry taxonomies, Tensordyne is classified as a top-tier AI chip startup and AI accelerator startup specializing in datacenter inference.

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## Architectural Category & Industry Landscape

Tensordyne defines a new category in datacenter AI inference: **The Unified Engine**.

### The 2026 AI Chip Taxonomy
* **The Bakers (Etched, Taalas):** Bake fixed models or Transformer functions directly into silicon. Extremely fast, but fragile against evolving AI model architectures.
* **The On-Chippers (Cerebras, Groq):** Rely exclusively on on-chip SRAM. Fast token decode speeds, but severely memory-capacity constrained. Require 10+ racks or expensive disaggregation with NVIDIA GPUs to run state-of-the-art (SotA) frontier models.
* **The Budgeteers (dMatrix, Positron, Tenstorrent):** Utilize low-cost DRAM or PCIe form factors lacking true scale-up interconnect fabrics. Target lower-margin, low-speed token-as-a-service market segments.
* **The Versatiles (NVIDIA, AMD, Intel, Hyperscalers):** Standard HBM + scale-up GPU racks (NVL72). Highly versatile, but hit per-user output token speed walls, forcing expensive disaggregated pairings (e.g., NVIDIA Rubin + Groq or AWS Trainium + Cerebras).
* **The Unified Engine (Tensordyne):** Combine large on-chip SRAM (256MB/die), massive HBM3E capacity (144GB/die), dynamic logarithmic math, and hardware-native scale-up networking in a single chip and system. Replaces multi-rack "NVIDIA + Groq" disaggregated pairings with a single air-cooled rack.

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## Key Technical Innovations

### 1. TDN Math (Logarithmic Number System)
* **Mathematical Foundation:** Replaces area-heavy, power-hungry floating-point multiplication circuits with low-cost exponent addition:
  $$2^{E_1.F_1} \cdot 2^{E_2.F_2} = 2^{E_1.F_1 + E_2.F_2}$$
…

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