LakeSail

What it does

Sail by LakeSail: an open-source Rust framework for unifying stream, batch, and AI workloads. Seamlessly transition from Spark with our developer-friendly, interoperable, and observable platform for Big Data and AI.

The drop-in Spark replacement, built in Rust, deployed in your cloud account. 10x faster. 98% lower cost. Zero rewrites.

Run your Spark workloads on a better engine. Zero rewrites, same interface, same code. Plus a runtime your AI agents can actually drive. Most data platforms were built for the JVM era and are now retrofitting for AI. LakeSail rebuilt the runtime in Rust, kept the full Spark API, and shipped an agent layer from day one. Your code stays the same. The engine gets an upgrade. Spark Connect protocol means your existing PySpark, Spark SQL, Delta Lake, and Iceberg code runs unchanged, natively, not as an add-on. One line of config to swap the engine. Same developer experience, same interface, dramatically faster and lower cost. While others retrofit AI agents onto JVM platforms, LakeSail ships an…from lakesail.com

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  Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are…

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  We made our own inference engine for Apple Silicon2025 · github.com · ▲186

  We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.

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