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LongCat-2.0

1.6T MoE trained entirely on AI ASICs

Details

External ID
1189943
Source
PH
Company
—
Product
LongCat-2.0
Website domain
producthunt.com
Launched
July 7, 2026
Cohort
—
Upvotes
154
Upvotes percentile
0.022935779816513763
Tags
Open Source, Artificial Intelligence
Fetched at
Sept. 7, 2026, 1:23 a.m.
Updated at
Sept. 7, 2026, 1:23 a.m.

Description

LongCat-2.0 is an MIT-licensed 1.6T-parameter MoE model with ~48B active parameters, 1M context, LongCat Sparse Attention, and post-training for coding and agentic workflows. It was trained on AI ASIC superpods and integrates with Claude Code, OpenClaw, and Hermes.

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
large language model trained on specialized hardware
Manually corrected
False

Could you build this?

No Training a 1.6-trillion-parameter Mixture-of-Experts foundation model on custom AI ASIC superpods requires millions of dollars in compute, specialized distributed training infrastructure, and deep machine learning research.

What it would actually take: Requires deep distributed training expertise (pipeline parallelism, tensor parallelism, 3D/4D parallelism) across thousands of AI accelerator chips (ASICs/TPUs/GPUs). Involves custom sparse attention CUDA/compiler kernels, petabyte-scale data curation and tokenization pipelines, and massive capital expenditure for high-bandwidth fabric networking (InfiniBand/RoCE).

Competitors

Other products that read as similar to this one — 27 launches clear the similarity bar, closest 8 shown.

Attention rank: #28 of 28 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 178 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.