| title: README | |
| emoji: 馃煝 | |
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| **Scalably** builds and runs AI agents for real businesses. One founder directs AI agents that do the engineering; the owned inference tier runs on two GeForce RTX 5090s. | |
| We publish what we measure: serving benchmarks with every row, research notes with their evidence ledgers, and corrections in the open. | |
| - Datasets: [MoE vs dense on vLLM](https://huggingface.co/datasets/Scalably/moe-vs-dense-vllm-rtx5090) 路 [Qwen Flash 256K engines](https://huggingface.co/datasets/Scalably/qwen-flash-dual-5090-serving) 路 [Qwen agent fine-tuning results](https://huggingface.co/datasets/Scalably/qwen-agent-sft-experiments) 路 [Neural Graph Substrate ledger](https://huggingface.co/datasets/Scalably/neural-graph-substrate-evidence) | |
| - Explorer: [RTX 5090 serving explorer](https://huggingface.co/spaces/Scalably/rtx5090-serving-explorer) | |
| - Code: [github.com/scalably-io](https://github.com/scalably-io) 路 Research: [scalably.io/research](https://scalably.io/research) 路 Blog: [scalably.io/blog](https://scalably.io/blog) | |