AWS Budgets
Amazon CloudWatch
AWS Cost Explorer
Azure Cost Management
Nutanix Beam
Turbonomic
Cloudability
Site24x7
Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
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Based on our record, AWS Budgets should be more popular than Activeloop. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
With AWS Budgets, you can set custom budget limits for cost, usage, RI/Savings Plan coverage, or utilization. When thresholds are exceeded, you get alerts via email or SNS, and optionally, you can automate actions using Lambda. - Source: dev.to / 12 months ago
Regularly review and terminate idle EC2 instances to eliminate unnecessary costs. Use AWS Budgets to set alerts for unexpected usage spikes (AWS Budgets). - Source: dev.to / about 1 year ago
AWS Budgets: This service allows you to set custom budgets for your AWS costs and receive alerts when your costs exceed your budgeted amount. Source: over 3 years ago
You might be better off trying to get a prepaid visa card (or similar) and set your account up with that. And definitely create budget alerts so you'll get an email as soon as your bill goes over a dollar (or whatever limit you choose). Source: almost 4 years ago
Automated billing and budget setup with alerts for increased usage. - Source: dev.to / over 4 years ago
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 3 years ago
u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 4 years ago
Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
AWS Cost Explorer - Cloud Cost Management
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Azure Cost Management - Monitor, allocate, and optimize cloud costs with transparency, accuracy, and efficiency using Azure Cost Management.
Scale - Get human tasks done with just one line of code.