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FlashQLA
A
Sora
A
Rows
A
Ollama
S
TaglineQwen's open-source GPU kernel library that squeezes 2–3× more speed out of linear attention on NVIDIA Hopper hardware — if you're lucky enough to own one.OpenAI's video model. Long clips, cinematic quality.Spreadsheets with AI + live integrations baked in.Run LLMs locally. One-line install, GUI optional.
CategoryDev PlatformVideoDataDev Platform
PricingFree (MIT License, open-source)Included with ChatGPT Plus/ProFree + $19-$89/user/moFree + open source
Best forML engineers and researchers running Qwen3.x linear-attention models on H100/H200 clusters who need to close the gap between theoretical GDN efficiency and actual hardware throughput.ChatGPT subscribers experimenting with cinematic shots.Ops teams, marketers, anyone building dashboards from multiple sources.Devs wanting offline/local LLMs for privacy or experimentation.
Strengths
  • 2–3× forward-pass and ~2× backward-pass speedup over FLA Triton kernels on Hopper GPUs
  • Gate-driven automatic intra-card context parallelism boosts SM utilization in long-sequence, small-head-count regimes without manual config
  • Hardware-friendly algebraic reformulation reduces Tensor Core, CUDA Core, and SFU overhead with no numerical precision loss
  • MIT licensed and fully open-source — drop it straight into Qwen3.x training and inference pipelines
  • Up to 20-sec clips at 1080p
  • Strong physics + scene composition
  • Storyboard feature for longer narratives
  • Remix existing videos
  • Pull live data from Stripe, Slack, Google Analytics, etc.
  • AI functions inside cells
  • Modern UX
  • Run Llama, Mistral, Qwen, etc. on your laptop
  • Simple CLI + API
  • Hardware-aware (picks the right quant)
Weaknesses
  • Extremely narrow hardware requirement: SM90+ only (H100/H200, DGX Spark) with CUDA 12.8+ and PyTorch 2.8+ — useless outside Hopper-class clusters
  • GDN/Qwen-specific: not a drop-in replacement for FlashAttention-style softmax kernels, and won't help you if you're not running linear-attention Qwen models
  • Very new, minimal community adoption or third-party validation yet
  • Stricter content policy than competitors
  • Hit-or-miss on complex motion
  • Text-in-video still struggles
  • Not a full Excel replacement for heavy users
  • Integrations best on paid tiers
  • Needs beefy laptop for larger models
  • Speed way behind cloud APIs
Kai's verdictA genuinely impressive, laser-focused kernel optimization from the Qwen team — real speedups on real hardware — but its utility is gated behind Hopper GPUs and Qwen's GDN architecture, making it a niche power tool rather than a broadly useful library. (Verdict pending Phi's full review.)A-tier. Amazing when it works, frustrating when it doesn't. Runway still more reliable for pros.A-tier. The most interesting spreadsheet in years. Great for ops dashboards.S-tier for local inference. If you care about privacy or want to tinker, install this today.
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