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FloydHub has shut down

Product Featured

FloydHub has shut down

FloydHub - our ML platform used by thousands of Data Scientists and AI enthusiasts was shut down on August 20, 2021.

5 advanced features that save you time on FloydHub

5 advanced features that save you time on FloydHub

FloydHub has a lot of features that accelerate various stages of your ML workflow. In this post we are sharing the 5 most useful features and how to incorporate them in to your workflow.

Metrics on FloydHub

Metrics on FloydHub

At FloydHub we offer cutting edge infrastructure [https://floydhub.ghost.io/benchmarking-floydhub-instances/] for training your machine learning projects. These are highly tuned instances in the cloud that come pre-installed with the frameworks of your choice [https://docs.floydhub.com/guides/environments/]. With the machines running in the cloud it is

FloydHub for Teams

FloydHub for Teams

We're launching a Teams plan on FloydHub today. You can now have a secure, centralized hub for your entire data science team's model development, training, and deployment pipeline, along with roles-based permissions, consolidated billing, and even more collaboration magic.

Creating Datasets from Public URLs

Creating Datasets from Public URLs

We're trying to make it easier to discover and use interesting datasets on FloydHub. To that end, we just released an improved file-viewer to help you dig in and explore data directly on FloydHub. For example, here's one of my favorite pups [https://www.floydhub.com/

Should I buy my own GPUs for Deep Learning?

Should I buy my own GPUs for Deep Learning?

Deep learning algorithms involve huge amounts of matrix multiplications and other operations which can be massively parallelized. GPUs usually consist of thousands of cores which can speed up these operations by a huge factor and reduce training time drastically. This makes GPUs essential to doing effective deep learning. Most data