More Power to Small/Medium-sized GPU Providers

BY ZHEN LU - MARCH 9, 2022
With ethereum moving to PoS in the near(?) future, there is much uncertainty around what will happen to all of us that are currently mining as a side-business or hobby. The RunPod platform offers a solution to those small to medium-sized hosts that are serious and want to stay in business rather than liquidating their hardware.

With ethereum moving to PoS in the near(?) future, there is much uncertainty around what will happen to all of us that are currently mining as a side-business or hobby. The RunPod platform offers a solution to those small to medium-sized hosts that are serious and want to stay in business rather than liquidating their hardware.

We'll cover how to onboard in the next blog post if this one piques your interest. In this blog post, we're going to go over the features that are in RunPod's initial launch that will be beneficial to hosts that want to join the platform. Without further ado, let's start the list!

Customization: RunPod currently supports background host jobs that you can run while your machine isn't being rented. You can mine, do your own machine learning, whatever you want to do. In addition to this, your background job can be loaded from a local docker image and it supports power limiting and overclocking for just your background jobs, so you don't affect your clients.

machine metrics

Metrics: RunPod's supports some basic metrics out of the box. These are stored in our time series database, so it will be easy for us to generate more robust charts in the future like historical hardware performance and how much money your machines are earning over time. For now, it is easy to see how your machine hardware is operating at a glance.

mobile overview

Mobile Friendly: All of RunPod's dashboard pages are mobile friendly. You can check in on your machines from your phone!

Easy: The RunPod host daemon is a one-line command that will take care of all everything you need to get started. All you need to do is install Ubuntu LTS and set up your SSH access. That's it. You can learn more in our short installation guide.

Goals: We have our sights set high. The RunPod platform is already capable of serving the needs of a large consumer base, but we are just getting started. We eventually aim to build SaaS services on top of the framework that we created. This means that hosts will get exposure to an entirely new pool of clients that are willing to pay more for convenience and features that other platforms don't have.

Agile: One of the biggest strengths of the RunPod platform is that the team is devoted to making it successful. The entire platform as it stands was built in less than 3 months of development time and is a testament to how fast it can evolve. Join the hustle!

Client Friendly: Last, but probably the most important, RunPod is client centric. After all, without clients, what is the use in having a bunch of dashboards that show your machines are idling? Here's a clip of the client rental experience for renting 12 GPUs on a basic Jupyter notebook with TensorFlow pre-installed.

Renting a GPU got easier

It's that easy for someone to get started if they want something simple, and we have an advanced mode for power users. RunPod is a great platform for students, academics, scientists, enthusiasts, and hobbyists to run a variety of deep learning, machine learning, artificial intelligence, and any other GPU intensive workloads they can imagine at affordable prices.

I hope I was able to share just a little bit of the enthusiasm that I have for the platform with you. The team and I think that we can build something that can be great for both hosts and clients and we'd love for you to join us!

While you're waiting for the next post, please feel free to have a look at our host FAQ.

Zhen is one of the co-founders of RunPod. He holds a PhD in Computational Chemistry and has lots of experience teaching, coding, and talking to people.

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