LongCat-2.0 — 1.6T MoE trained entirely on AI ASICs Uses a 1.6 trillion parameter Mixture of Experts architecture.
About LongCat-2.0
LongCat-2.0 is an AI web app built around a 1.6 trillion parameter Mixture of Experts architecture and trained entirely on custom AI ASICs.
Its distinctive edge is its training hardware: the model was trained entirely on custom AI ASICs rather than GPUs, while using a 1.6 trillion parameter Mixture of Experts architecture.
It is for users who prioritize a 1.6 trillion parameter Mixture of Experts model and training on custom AI ASICs rather than GPUs.
It sits among AI web apps as a model distinguished by its 1.6 trillion parameter Mixture of Experts architecture and ASIC-based training rather than GPU-based training.
Sources: the tool's official site, this listing
LongCat-2.0 pros and cons
Pros
- Uses a 1.6 trillion parameter Mixture of Experts architecture.
- Was trained entirely on custom AI ASICs rather than GPUs.
Tagged
- Web-based
LongCat-2.0 alternatives
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- 03Freemium →Braintrust
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- 04Paid →Humanloop
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- 05Freemium →LangSmith
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- 06Freemium →Chroma
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Related reading
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</a>Frequently asked questions
- What is LongCat-2.0?
- LongCat-2.0 — 1.6T MoE trained entirely on AI ASICs
- What are the alternatives to LongCat-2.0?
- Similar tools in AI Web Apps on vibedonalds: Exa, Perplexity Spaces, Braintrust, Humanloop.