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FlashQLA
A
Rows
A
Framer
A
Replicate
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.Spreadsheets with AI + live integrations baked in.Design + publish sites with AI assists built in.Run any open-source AI model with an API call.
CategoryDev PlatformDataDesignDev Platform
PricingFree (MIT License, open-source)Free + $19-$89/user/moFree + $5-$30/moPay per second of compute
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.Ops teams, marketers, anyone building dashboards from multiple sources.Designers shipping marketing sites without engineers.Developers using open-source models (Flux, SDXL, Whisper, etc).
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
  • Pull live data from Stripe, Slack, Google Analytics, etc.
  • AI functions inside cells
  • Modern UX
  • AI generates sections + copy + layouts
  • Designer-first publishing (not just templates)
  • Great animations
  • Tens of thousands of models (image, video, audio, LLMs)
  • One-line API for any model
  • Cog framework for custom model deploy
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
  • Not a full Excel replacement for heavy users
  • Integrations best on paid tiers
  • Less flexible than raw code
  • Pricing per-site adds up
  • Cold starts on less-popular models
  • Pricing gets real at scale
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. The most interesting spreadsheet in years. Great for ops dashboards.A-tier for designer-led sites. S-tier if animations matter.S-tier for open-source model APIs. The default in this space.
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