After much anticipation, the Hypernet team is today launching Galileo, the universal solution for distributed computing. Galileo is the portal to Hypernet, through which the world’s computing power will be accessed.
The Galileo app advances the Hypernet mission of democratizing the means of discovery and technological progress, as Kyle Wiggers so clearly explains in this piece for VentureBeat. It is a revolutionary tool for engineers, researchers, and data analysts, who can now simply drag and drop their code to access remote computing resources. It helps to automate DevOps by eliminating the need for extensive, complicated, and time-consuming cloud setup. With Galileo, Hypernet enables brilliant minds, wherever they may be found, to focus on solving the world’s greatest problems.
We invite Hypernet supporters and the engineers and data scientists in their networks to sign up and try it out, themselves, for free.
Ivan Ravlich, our project lead and co-founder at Hypernet Labs, explains, “With Galileo we want to immediately upskill your entire team by eliminating the need for specialized knowledge to access compute power through a fast and easy-to-use platform. This allows people to spend minutes, rather than weeks, accessing required computing power. In terms of accessibility and usability, Galileo and Hypernet do for cloud tools and distributed computing what the desktop and mouse did for the operating system and PC revolution.”
Whereas the Magellan application was designed only for our supply-side supporters, Galileo encompasses both the demand and supply sides of the Hypernet network. Our next step is to connect Galileo with the marketplace features our blockchain engineers have developed for our testnet. The public release of the testnet will be preceded by testing within Project Magellan.
The concept of a global decentralized supercomputer was introduced with the advent of Ethereum, and Hypernet is making this a functional reality for the purposes of all compute intensive work (data analysis, AI/ML, simulation, rendering). As an extremely useful technical innovation, Galileo helps us to drive widespread adoption of blockchain technology.
A sampling of Galileo’s first real-world applications
Dam breach analysis for dam safety: Engineers in hydrology and hydraulics have used Galileo for hundreds of hours of runs.
Bio Life Sciences: A researcher used Galileo to render 60GB of data and produce 3D imaging of the simulated effects of air pollution inside lungs.
Market Analysis: A market analyst built an algorithm to predict currency markets and used Galileo for data analytics, achieved 60% accuracy.
Social Sciences: A legal scholar and anthropologist used Galileo for quantitative comparative country studies of the effects of specific laws.
Space Exploration / Video Rendering: A plasma rocket company used Galileo to process 3D 4k renderings of their proof of concept ships.
Scale up your compute resources in minutes with no setup
- Got a large project with a short deadline? Access more powerful machines quickly and easily.
- Stop wasting weeks or months configuring your cloud setup. Enable engineers and researchers to focus on their areas of expertise, not cloud infrastructure.
Easily access remote computation machines, on- and off-premises
- Simply drag and drop project folders onto office workstations or cloud devices you control and run remotely immediately
- View all jobs in progress on each machine
- Improvement over Remote Desktop and SSH: multiple users can now run different jobs in one machine simultaneously
Automate deployment of compute jobs and script against the Galileo engine
- Parallel computational workloads on one or many machines
- Easy-to-use SDK to deploy hundreds or thousands of runs for sensitivity analysis or full-blown Monte Carlo simulations
Run securely and privately
- By default, no one can run on your machine. If you want friends or colleagues to be able to run on your machine, you can invite them and set permissions.
- Secure communications: HTTPS, WSS. All communications hashed (256-bit SHA3) and signed (2048-bit RSA, RSASSA-PSS)
- End-to-end encryption: AES-CTR (256-bit key, 128-bit unique counter block)
Work smarter with collaborators — shared project folders
- Share data sets, models, and results using any network drive or major cloud storage provider.
- Easy management of large datasets: avoid transferring and copying large projects & results files on every deployment, and start running remotely immediately.