Welcome to the Eventual blog
Join us as we explore innovative ways to handle multimodal datasets, optimize performance, and simplify your data workflows.
Daft v0.7.15: Safe Type Conversions, Flight Shuffle Optimizations, and PostgreSQL Support
Daft v0.7.15 ships with try_cast for safe type conversion, Flight shuffle LZ4 compression, UUIDv7 timestamp extraction, and PostgreSQL support.
End-to-End Distributed PDF Processing Pipeline
Build production-ready PDF processing pipelines with distributed computing, OCR, spatial analysis, and GPU embeddings
How to Build Scalable, End-to-end Batch Inference Pipelines with Daft
Daft makes it easy to express these pipelines end-to-end, while seamlessly scaling them up to handle massive workloads.
24 Trillion Tokens, 0 Crashes: How Essential AI Built Essential-Web v1.0 with Daft
Essential AI leveraged Daft's data engine to process a massive web-scale dataset for large language model (LLM) training.
Embedding Millions of Text Documents With Qwen3
Learn how to achieve near-100% GPU utilization processing millions of text documents with Qwen3 embeddings.
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.