Thank you for your responses. To address the comments, I've recently written a blog post about why we have created Cluster One.
Feel free to read my article on Medium: Announcing Cluster One, the largest AI Supercomputer
OR
To wrap it up for you:
AI will be the key to unlocking new scientific discoveries. A year ago, top cancer researchers reported to President Obama about the state of cancer research, and most of their recommendations mentioned large scale computing as a way to move the industry forward.
AI is not affordable for every company and we see ourselves as solving a part of that problem. Organizations such as the Allen institute are advancing and spreading algorithms. Companies such as Andrew Ng’s deeplearning.ai are trying to spread deep learning skills.
What’s missing in that picture is spreading affordable infrastructure and tools. That’s why we are launching Cluster One.
We want to enable researchers to address life-threatening problems, by scaling AI to the next level.
It is important to understand what size we need to reach before being able to do something meaningful.
For example, take Diabetic Retinopathy, a disease that affects people with diabetes, and can ultimately cause blindness. It affects nearly 100 Million people in the world.
For the sake of understanding what it would take to offer a screening solution through AI, let us assume the following.
explore 100 ideas
run 50 experiments per idea
run each of them for a week of computation, on 50 machines
That’s a total of 42MM compute hours.
That would cost around $10MM on the public cloud (eg: on AWS’s c4.2xlarge), or several dozens of millions of upfront investment for a private infrastructure.
Or it could be provided by 15,000 contributors who provide 8 hours of compute a day for a year, on recent computers.
That’s why we believe in the power of distributed computing and we’re on a mission to scale AI to enable researchers push science further. Feel free to reach out to me if you have any further questions or would like to know more about the movement. Or if you want to help, sign up to join Cluster One community.
Thank you for your responses. To address the comments, I've recently written a blog post about why we have created Cluster One. Feel free to read my article on Medium: Announcing Cluster One, the largest AI Supercomputer OR To wrap it up for you: AI will be the key to unlocking new scientific discoveries. A year ago, top cancer researchers reported to President Obama about the state of cancer research, and most of their recommendations mentioned large scale computing as a way to move the industry forward. AI is not affordable for every company and we see ourselves as solving a part of that problem. Organizations such as the Allen institute are advancing and spreading algorithms. Companies such as Andrew Ng’s deeplearning.ai are trying to spread deep learning skills. What’s missing in that picture is spreading affordable infrastructure and tools. That’s why we are launching Cluster One. We want to enable researchers to address life-threatening problems, by scaling AI to the next level. It is important to understand what size we need to reach before being able to do something meaningful. For example, take Diabetic Retinopathy, a disease that affects people with diabetes, and can ultimately cause blindness. It affects nearly 100 Million people in the world. For the sake of understanding what it would take to offer a screening solution through AI, let us assume the following. explore 100 ideas run 50 experiments per idea run each of them for a week of computation, on 50 machines That’s a total of 42MM compute hours. That would cost around $10MM on the public cloud (eg: on AWS’s c4.2xlarge), or several dozens of millions of upfront investment for a private infrastructure. Or it could be provided by 15,000 contributors who provide 8 hours of compute a day for a year, on recent computers. That’s why we believe in the power of distributed computing and we’re on a mission to scale AI to enable researchers push science further. Feel free to reach out to me if you have any further questions or would like to know more about the movement. Or if you want to help, sign up to join Cluster One community.
