DeeplakeActiveloop
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About
Deeplake is a GPU-native database for AI agents that helps teams store, retrieve, and process data where their models already run. Built by Activeloop, it is designed as a memory and data layer for production-grade AI agents, agentic loops, physical AI, and generative media workflows. The platform combines a familiar Postgres-style interface, analytical query performance, multimodal data lake capabilities, and GPU acceleration into one AI-focused data system. Deeplake supports use cases involving text, images, video, sensors, 3D scans, model weights, embeddings, and other complex data types. It helps agents retrieve context faster, reduce data movement, and run large volumes of queries more efficiently than traditional CPU-based database architectures. With SOC 2 Type II certification, VPC deployment, open-source traction, and support for modern AI stacks, Deeplake gives AI teams a scalable foundation for agent memory, retrieval, and multimodal data management.
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About
Fastino is an applied AI platform focused on specialized, open-weight language models and the Fastino Fine-Tuning Agent. The agent lets users describe a task in plain language, then automatically selects the architecture, generates training data, trains and evaluates the model, and returns a task-specific model ready to deploy. Fine-tuning projects can be created and revisited from one interface, with models trained on the user’s terms and deployable in their own environment. The resulting models are designed for production-grade performance, with typical response times under 50 ms, while model weights remain private and owned by the user. Models can move from a task description to a trained result in hours, giving teams a faster path to specialized deployment. Fastino also provides open-source and open-weight models for specialized AI workloads.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Deeplake is best suited for AI engineers, machine learning teams, agent developers, robotics teams, RAG builders, data infrastructure teams, generative media companies, and enterprises that need GPU-native retrieval, multimodal data management, vector search, serverless Postgres, and scalable memory for production AI agents
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Audience
AI developers, data scientists, and engineering teams wanting to create, fine-tune, deploy, and control specialized open-weight models for production AI workflows
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0
Usage-based
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationActiveloop
Founded: 2018
United States
deeplake.ai/
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Company InformationFastino
Founded: 2026
United States
fastino.ai/
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Categories |
Categories |
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Integrations
Activeloop
Supported
Amazon SageMaker
Supported
Amazon Web Services (AWS)
Supported
ChatGPT
Supported
Google Cloud Platform
Supported
Jupyter Notebook
Supported
LangChain
Supported
OpenAI
Supported
PyTorch
Supported
TensorFlow
Supported
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Integrations
Activeloop
Not Supported
Amazon SageMaker
Not Supported
Amazon Web Services (AWS)
Not Supported
ChatGPT
Not Supported
Google Cloud Platform
Not Supported
Jupyter Notebook
Not Supported
LangChain
Not Supported
OpenAI
Not Supported
PyTorch
Not Supported
TensorFlow
Not Supported
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