TensorRT-LLM provides Python and C++ runtimes with optimizations for language model inference on NVIDIA GPUs.
deeplake
DeepLake provides multimodal data infrastructure for AI agents, including retrieval and training.
About deeplake
Deep Lake is a Database for AI for storing and searching data plus vectors while building LLM applications and managing datasets while training deep learning models. It is serverless and stores data in the user's own cloud. It installs with pip install deeplake, and registration in the Deep Lake App is needed to access all features.
Pricing is not clearly stated.
Key features
- Storage for embeddings, audio, text, videos, images, DICOM, PDFs and annotations
- Querying and vector search with data streaming, versioning and lineage
- Upload, download and stream datasets via S3, Azure, GCP, Activeloop cloud, local or in-memory storage
- Native compression with lazy NumPy-like slicing and indexing
- Built-in dataloaders for Pytorch and TensorFlow
- Integrations with LangChain, LlamaIndex, Weights and Biases, MMDetection and MMSegmentation
- Instant visualization with bounding boxes, masks and annotations in Deep Lake Visualizer
deeplake at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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