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OneTriangle - The fastest, cheapest inference, powered by KV cache transfer

Lightweight novel inference

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YC · launched Aug 21, 2026 · 11 upvotes (top 62%) · 0 views

Niche: llm inference engines · 133 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product
  • Open Source
  • Infrastructure
  • AI

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Could you build this?

No Optimizing LLM inference via KV cache transfer requires low-level CUDA/Triton GPU kernel programming, distributed networking (RDMA/InfiniBand), and deep systems engineering.

What it would actually take: This architecture requires modifying inference runtimes like vLLM, TensorRT-LLM, or SGLang at the C++/CUDA level to manage memory-efficient PagedAttention and remote KV cache serialization. Implementing fast cache transfer necessitates kernel-bypass networking (GPUDirect RDMA, NCCL) across distributed GPU clusters to achieve lower latency than recomputing prefill.

Competitors

Other products that read as similar to this one : 2472 launches clear the similarity bar, closest 8 shown.

Attention rank: #1512 of 2473 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 296 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.