Train Models Smarter and Faster
Train and fine-tune smarter and faster
Built for Complex Retrieval
Named SQL Views
Create reusable datasets for each model run. Manage experiments without duplicating data or rewriting queries.
Geneva DocsBlob Access Without Load
Stream large files directly from cloud storage. Skip downloads and keep I/O costs low.
Geneva DocsLow Latency Prep
Filter and shuffle data at training time. Keep preprocessing fast and GPUs fully utilized.
Geneva Docs5M+ IOPS Cache Fleet
High-throughput cache built for cost efficiency. Handle extreme concurrency with ease.
Enterprise DocsHow It Works
-
01
Connect to your Data Lake
Ingest and index multimodal data directly from S3, GCS, Azure Blob, or on-prem storage—no migration headaches.
-
02
Turn on your Lakehouse
Leverage enterprise-grade performance, distributed I/O, and multimodal dataset management for training pipelines.
-
03
Train and fine-tune at scale
Feed optimized datasets into PyTorch, JAX, TensorFLow, or Hugging Face—enabling faster iteration and better models.
Train Anywhere
Your stack can reset easy. LanceDB has a rich ecosystem and mature integrations.
LanceDB Open Source
The foundation for AI-native data — open, blazing fast, and ready to build anywhere.
LanceDB Enterprise
A data platform without limits — advanced engines, enterprise security, and world-class support.
Features include:
- Multimodal SQL engine
- Optimized training cache
- Deploy on any cloud
- Distributed data pre-processing engine
- Dedicated infrastructure
- Enterprise security
