Skip to content

docs(readme): announce TileFoundry 0.0.3 and the October examples #247

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
zhen8838 merged 3 commits into from
Oct 20, 2026
Merged

docs(readme): announce TileFoundry 0.0.3 and the October examples #247

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
ca5eb12
docs(readme): announce TileFoundry 0.0.3 and the October examples
zhen8838 Oct 20, 2026
b9211b0
docs(readme): describe what 0.0.3 lets an agent do
zhen8838 Oct 20, 2026
c5b9dd8
docs(readme): shorten the 0.0.3 entry
zhen8838 Oct 20, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 5 additions & 2 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,14 +31,17 @@

## Latest News

- 10/2026 🚀: **TileFoundry 0.0.3 is on PyPI** — a new instruction-level schedule, a restructured analysis, and prefill examples on H200 and Apple AMX.
- 10/2026 ⚡: [Qwen3.8-27B prefill](https://github.com/tile-ai/TileFoundry/tree/main/examples/qwen3_8_27b_prefill-tilelang) — a 64-layer gated-delta-net / attention hybrid, **faster than SGLang** at 1024 / 4096 / 8192 tokens, and [**1.88x–1.03x faster** at 128–1024 tokens](https://github.com/tile-ai/TileFoundry/tree/main/examples/qwen3_8_27b_prefill_short-tilelang), across the roofline ridge.
- 10/2026 🍎: [Qwen prefill on Apple AMX](https://github.com/tile-ai/TileFoundry/tree/main/examples/qwen_prefill-amx) — Qwen3-1.7B and Qwen3.5-4B text prefill on an M2 Pro, with the large projections as FP16 AMX outer products.
- 09/2026 📝: [AI Compilers in the Agentic Era](https://tile-ai.github.io/TileFoundry.github.io/blog/AI-compilers-in-the-agentic-era/) — where is the right boundary between coding agents and AI compilers?
- 09/2026 🔧: **TileFoundry 0.0.2 is on PyPI** — bug fixes and refactoring across the analysis, parser, and IR layers.
- 08/2026 ⚡: [Nemotron-3.5-Lightning-30B-A3B](https://github.com/tile-ai/TileFoundry/tree/main/examples/nemotron_3_5_lightning_30b_a3b-tilelang) — a 52-layer Mamba2 / attention / MoE hybrid in a **single mega decode kernel**, one launch a step with no CUDA graph, reaching **97.5% of SGLang** at short context and **83.2%** at 262144.
- 08/2026 📦: Four [worked examples](https://github.com/tile-ai/TileFoundry/tree/main/examples) added — Qwen3-1.7B (tilelang), Qwen3.5-35B-A3B (tilelang), MiniCPM3-4B (CuTeDSL) and granite-4.0-h-small (CUDA C) — each one a real agent run kept whole, with the decode throughput it measured.

<details>
<summary>Earlier</summary>

- 08/2026 ⚡: [Nemotron-3.5-Lightning-30B-A3B](https://github.com/tile-ai/TileFoundry/tree/main/examples/nemotron_3_5_lightning_30b_a3b-tilelang) — a 52-layer Mamba2 / attention / MoE hybrid in a **single mega decode kernel**, one launch a step with no CUDA graph, reaching **97.5% of SGLang** at short context and **83.2%** at 262144.
- 08/2026 📦: Four [worked examples](https://github.com/tile-ai/TileFoundry/tree/main/examples) added — Qwen3-1.7B (tilelang), Qwen3.5-35B-A3B (tilelang), MiniCPM3-4B (CuTeDSL) and granite-4.0-h-small (CUDA C) — each one a real agent run kept whole, with the decode throughput it measured.
- 08/2026 🎉: **TileFoundry 0.0.1 is on PyPI** — the first public release.

</details>
Expand Down
Loading