Welcome to the Daft blog

After the First Run

Using Daft’s observability tools to uncover performance pitfalls

Making GPUs Zoom (Part 1)

A deep dive into GPU optimizations for production-scale multimodal data processing

End-to-End Distributed PDF Processing Pipeline

OCR, Spatial Analysis & GPU Embeddings with Python

How to Build Scalable, End-to-end Batch Inference Pipelines with Daft

From prompts to parquet: making batch inference simple, fast, and scalable.

24 Trillion Tokens, 0 Crashes

How Essential AI Built Essential-Web v1.0 with Daft

Embedding Millions of Text Documents With Qwen3

Near-100% GPU Utilization

Processing 300K Images Without OOM

A Streaming Solution

Multimodal Data Processing Goes Global

Launching Daft Chinese Community in partnership with Bytedance

Eventual Raises $30M to Build the Future of Data

We cloned over 15,000 repos to find the best developers

An adventure in AI and data engineering to analyze developers across Github

DeepSeek smallpond, 3FS and data processing for AI

A closer look beyond the AI hype

From v0.2 to v0.3: Harder, Better, Faster, Stronger

Join us on the journey from Daft v0.2 to v0.3!