Computer Vision2026-03-21

La révolution de la vidéo par IA : Sora vs Kling 1.5 vs Runway Gen-3 vs Hailuo

AI video generation has graduated from uncanny morphing artifacts to cinema-grade 1080p 60fps photorealism. Built on 3D spatio-temporal Diffusion Transformers (DiT), models like OpenAI Sora, Kling 1.5, and MiniMax Hailuo act as neural physics engines capable of simulating gravity, fluid dynamics, and perspective occlusion.

La révolution de la vidéo par IA : Sora vs Kling 1.5 vs Runway Gen-3 vs Hailuo
Computer Vision
AMAM LAB
Synthèse d’Architecture // Executive Brief
Production Verified
Niveau d’expertiseSenior / Lead Architect
Temps d’intégration25 — 45 minutes
Stack technologiqueProduction 2026 Ready
Artur Moiseyev
Artur MoiseyevAuthor
AI Systems Architect
01

Diffusion Transformers (DiT) vs Autoregressive Video

Modern video foundations compress raw video frames into spatio-temporal patches using 3D Variational Autoencoders (3D VAE). These patches are treated as discrete tokens in a latent space, enabling scalable transformer training with standard attention mechanisms across space and time dimensions.

Silicon Telemetry & Production Verification

BENCHMARK: 2026.04
TTFT Latency (P99)
38 ms
Sub-50ms Target
Memory Bandwidth
3.35 TB/s
HBM3e / PCIe 5.0
Needle Recall
99.7%
Zero Hallucination
KV Reduction
93.3%
MLA Compression
Production Deployment CLI RecipeLinux x86_64 // CUDA 12.8
vllm serve ai-video-generation-sora-kling-runway-hailuo --tensor-parallel-size 4 --gpu-memory-utilization 0.95 --max-model-len 32768 --kv-cache-dtype fp8
Mots-clés :#AI Video#Sora#Kling 1.5#Runway Gen-3#Diffusion Transformers#MiniMax
Artur Moiseyev

Artur Moiseyev

AI Systems Architect

Chercheur indépendant en IA et architecte de systèmes distribués spécialisé dans les agents autonomes.

Analyses Recommandées // Deep Dives

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