Is This The FASTEST AI Model In The World?!! (Xiaomi MiMo V2.5 Pro UltraSpeed)

Xiaomi and TileRT recently released a 1-trillion-parameter Mixture-of-Experts AI model capable of breaking the 1,000 tokens-per-second barrier on standard hardware. In this video, we dive into the core engineering behind this architecture, looking at how they used DFlash speculative decoding and a persistent GPU kernel runtime to eliminate bottlenecks. We also walk through real-world programming tests using early access to the API to see how the model performs under pressure. 🔗 Relevant Links MiMo-V2.5-Pro-UltraSpeed: https://mimo.xiaomi.com/blog/mimo-til... ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter:   / betterstackhq   Instagram:   / betterstackhq   TikTok:   / betterstack   LinkedIn:   / betterstack   📌 Chapters: 0:00 Intro 0:33 Putting 1,000+ Tokens Per Second into Perspective 1:09 Trillion-Parameter Scale on Standard Hardware 1:37 Layer 1: Selective FP4 Quantization 2:20 Layer 2: DFlash Speculative Decoding 3:03 Layer 3: TileRT Persistent Engine Kernel 3:51 Live Coding Test 1: Hard LeetCode Questions 4:20 Peak Speeds & The Training Data Question 4:41 Live Coding Test 2: Personal Finance Dashboard 5:37 Limits Exposed: Dropping Tokens & Context Freezes 5:54 Live Coding Test 3: Functional Three.js Game 6:51 Final Verdict: Speed vs. Model Capability 7:48 Summary & Outro