Welcome to the Daft blog
Join us as we explore innovative ways to handle multimodal datasets, optimize performance, and simplify your data workflows.
GPU Inference with @daft.cls
Run GPU models on millions of rows without OOM. Real patterns from ByteDance, Essential AI, and more.
Processing 300K Images Without OOM
A Streaming Solution
Multimodal Data Processing Goes Global
Daft Community is expanding to China, bridging the gap between English documentation and Chinese innovation cycles, in partnership with Bytedance Team
Eventual Raises $30M to Build the Future of Data Processing
We've raised $30M to build generational technology for simple, reliable, and performant data processing across all modalities and regardless of scale.
We cloned over 15,000 repos to find the best developers
An adventure in AI and data engineering to analyze developers across Github
High-Performance File System Support With DeepSeek 3FS
Learn how Daft integrates with DeepSeek SmallPond 3FS to deliver faster file access and efficient data handling for modern workloads.
From v0.2 to v0.3: Harder, Better, Faster, Stronger
Join us on the journey from Daft v0.2 to v0.3! Daft v0.3 was released last month, marking the first minor version increment in almost 10 months.
Introducing Daft-SQL for High-Performance Data Exploration
A SQL API enabling users to interact with their data in a new but familiar way. Learn how Daft-SQL brings fast, scalable querying to multimodal workloads, helping teams explore large datasets efficiently with a distributed engine.
Reading Delta Lake with Daft
Discover how Daft reads Delta Lake tables efficiently, giving teams fast access to large datasets and seamless integration into data workflows.
Adversarial file reading: from 10,000 small CSVs to massive Parquet files
Learn how adversarial file reading speeds up data ingestion at scale, enabling fast conversion from thousands of CSVs into efficient Parquet files.
