LongCat-2.0: China Breaks Free From Nvidia to Train a 1.6T Model @fahdmirza
LongCat-2.0: China Breaks Free From Nvidia to Train a 1.6T Model  @fahdmirza
Uploaded June 2026 | Updated September 2026, 2 weeks ago
This video reviews and tests LongCat-2.0, a large-scale MoE language model with 1.6 trillion total parameters.

🔥 Get 50% Discount on any A6000 or A5000 GPU rental, use following link and coupon:

bit.ly/fahd-mirza
Coupon code: FahdMirza

🔥 Buy Me a Coffee to support the channel: ko-fi.com/fahdmirza

#longcat #longcat2

PLEASE FOLLOW ME:
â–¶ LinkedIn: / fahdmirza
â–¶ YouTube: / @fahdmirza
â–¶ Blog: fahdmirza.com

RESOURCES:

â–¶ huggingface.co/meituan-longcat/LongCat-2.0

All rights reserved © Fahd Mirza
LongCat-2.0: China Breaks Free From Nvidia to Train a 1.6T ModelInkling by Thinking Machines: Benchmarks, Architecture & Real TestsTrain Your Own CPU TTS Model Locally in Any Language and Any VoiceGLM-5.2 vs MiniMax-M3 vs Qwen3.7-Max — 3 Coding Tests, One WinnerNVIDIA Ships Nemotron 3.5 ASR Streaming 0.6b: Run Locally on CPUNVIDIAs Audex-2B: The Tiny Model That Hears, Thinks, and SpeaksLoopCoder - The 7B Model That Thinks Twice - Does it Beat Others?Qianfan-OCR: End-to-End OCR That Does Layout-as-Thought: Run LocallyGranite 4.2 (3B vs 8B): IBMs New Reasoning Models, Tested LocallyHerdr: Run Multiple AI Coding Agents in Parallel from Your TerminalHow to Run Kimi K3 Locally (3 Ways)Antares-1B: Vulnerability Localization with AI Locally
Fahd Mirza |

LongCat-2.0: China Breaks Free From Nvidia to Train a 1.6T Model

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER