DBeaver
DataGrip
MySQL Workbench
HeidiSQL
phpMyAdmin
Navicat
DbVisualizer
Sequel Pro
AWS Deep Learning AMIs
AWS Auto Scaling
IBM Cloud Bare Metal Servers
Faronics Deep Freeze
Amazon Elastic Inference
Amazon Simple Workflow Service (SWF)
Zing
MxToolBox
DBeaver AWS Deep Learning AMIsNo AWS Deep Learning AMIs videos yet. You could help us improve this page by suggesting one.
Based on our record, DBeaver seems to be a lot more popular than AWS Deep Learning AMIs. While we know about 94 links to DBeaver, we've tracked only 3 mentions of AWS Deep Learning AMIs. 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.
Now that we've talked about databases, we are going to look at some software for connecting and managing your databases. DBeaver is a good free software that works on all platforms. But for those who are using JetBrains, you can also use Datagrip. - Source: dev.to / 6 days ago
It’s cool to show a demo and talk about the infrastructure with cute diagrams, but I always want to prove, even if just to myself, that things work as expected. So I thought a good way to test it would be to try connecting directly to both databases using my database client, DBeaver. - Source: dev.to / about 2 months ago
List of db clients I have bookmarked https://dbeaver.io/. - Source: Hacker News / 2 months ago
As a great alternative to DBeaver, DBGate provides a variety of tools to manage your databases. Besides in built-in support charts and a query builder, you can use Javascript to query data. It even supports NoSQL drivers and native script builders. Give it a try if your project demands simplicity over in-depth features for SQL databases. - Source: dev.to / 4 months ago
This isn’t meant to be an exhaustive list. There are many other database management software packages out there, including MySQL Workbench, DBeaver, and pgAdmin. We’ve chosen these database tools because they cover the most common database systems and use cases, but if you find they aren’t meeting your needs, be sure to explore further or consider building your own database user interface — it’s easier than you... - Source: dev.to / 4 months ago
AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 2 years ago
Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago
Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago
DataGrip - Tool for SQL and databases
AWS Auto Scaling - Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.
IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.
HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.
