Welcome to the Daft blog
Join us as we explore innovative ways to handle multimodal datasets, optimize performance, and simplify your data workflows.
Eventual Raises $30M to Build the Future of Data
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
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!
Introducing Daft-SQL
A SQL API enabling users to interact with their data in a new but familiar way!
