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News/Operator Fusion for LLM Inference on the Tensix Architecture
arxiv
PublishedJune 10, 2026 at 4:00 AM
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Operator Fusion for LLM Inference on the Tensix Architecture

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.09879v1 Announce Type: new Abstract: This study addresses on-device inference bottlenecks of Transformer models on Tenstorrent's Tensix architecture and proposes an operator fusion strategy that enhances data locality. RMSNorm is fused with matrix multiplication in self-attention and in t

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Discussion
Mentioned models
04
  • 01
    Transformer
  • 02
    Qwen2.5-0.5B
  • 03
    Qwen3-0.6B
  • 04
    Qwen3-4B
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#optimization#parallelism#efficiency
Mentioned companies
01
Tenstorrent

No replies yet. Be first.

Mentioned models
04
  • 01
    Transformer
  • 02
    Qwen2.5-0.5B
  • 03
    Qwen3-0.6B
  • 04
    Qwen3-4B
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#optimization#parallelism#efficiency
Mentioned companies
01
Tenstorrent

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