Galileo for
Academic Research
Galileo delivers easily accessible computing power to streamline academic research. Built-in organizational productivity tools are tailored to the unique needs of academic labs, across fields and subject areas.
Max Efficiency, Easy to Run
Galileo enables researchers to effectively leverage computing power, share resources, and streamline computing intensive workflows.
Galileo for Resource Management
Galileo takes the hard work out of administering resources for scientific applications.
Max Efficiency, Easy to Run
Galileo enables researchers to effectively leverage computing power, share resources, and streamline computing intensive workflows.
Quick & easy access to secure computing power
- On-demand, easy access to HPC, cloud, and machines you control
- Easy-to-use, drag-and-drop interface; no engineering experience needed
- Free up your local machine. Run computationally intensive projects elsewhere
- Automate iterative parallel computations (such as Monte Carlo simulations)
Get results faster,
keep your work organized
- Free yourself from deployment setup, pipeline monitoring, and delays
- Fast deployment of workloads to on-demand machines and parallel runs
- Easily share computational resources with collaborators or across a team
- Never misplace results again with Galileo’s searchable historical databases
- Reduce deadlines stress with easier access to machines you need
Graduate students and research teams across fields and disciplines are using Galileo
- Pharmaceutical researchers working on COVID-19
- Fast deployment of workloads to on-demand machines and parallel runs
- Material scientists building the world’s most efficient batteries
Quick & easy access to secure computing power
Easy-to-use, drag-and-drop interface; no engineering experience needed
Free up your local machine. Run computationally intensive projects
elsewhere
Automate iterative parallel computations (such as Monte Carlo simulations)
Get results faster,
keep your work organized
Fast deployment of workloads to on-demand machines and parallel runs
Easily share computational resources with collaborators or across a team
Never misplace results again with Galileo’s searchable historical databases
Reduce deadlines stress with easier access to machines you need
Graduate students and research teams across fields and disciplines are using Galileo
Fast deployment of workloads to on-demand machines and parallel runs
Material scientists building the world’s most efficient batteries
TURN YOUR LAB INTO A CLUSTER!
Leverage the combined resources of your team of collaborators by connecting your machines to create a group computing station in 5 easy steps:
1
Install Landing Zone
Ease of install to leverage your existing infrastructure
with only one command.
2
Create Station
Add your landing zones to a station to group resources.
3
Invite Students to Your Station
Easily share resources with collaborators or across a
team. Team leads can quickly share and track project
input and results files.
4
Control Resources
Set fine-grained permissioned access rules and usage
quotas. Avoid setup complications, pipeline monitoring,
and delays.
5
Create Missions and Deploy to Station
Access machines, projects, data, results, and version
history in one central location.
Galileo Magazine
Hypernet Labs collaborates with water resources engineers, software creators, and engineering firms at the forefront
of innovation in the field. Read about their work in the Magazine.
Galileo Facilitates Biochemical Process Engineering from Home During Pandemic
The global pandemic may have changed in-person office work forever, but working from home is only feasible with the right tools. For Diego Radillo, master’s student in biochemical process engineering at the University of Colima in Mexico, the lockdown posed a serious...
Hypernet Labs and KU Leuven Researchers Aim to Streamline Pharmaceutical Research with Programmable Biology Pipeline
Dr. Rinaldo Montalvao is a post-doctoral researcher in rational protein design at the Pinheiro Lab for synthetic biology at KU Leuven in Belgium. The field of rational drug design, of which protein design is a part, involves the development of pharmaceuticals using...
Monash University Researchers Shift Focus to COVID Antivirals and Get Results with Galileo
Since early spring, Dr. Tom Karagiannis and his students and collaborators at Monash University in Melbourne, Australia, have been studying the SARS-CoV-2 main protease using Galileo and computing resources donated by Hypernet Labs. They aim to find antiviral...
UC Berkeley Statisticians use Galileo to estimate COVID-19 fatality rates more accurately, improve data collection
The other researchers involved in the study are Michael I. Jordan of UC Berkeley (named by Science as the most influential computer scientist alive in 2016), Reese Pathak of UC Berkeley, and Rohit Varma of the Southern California Eye Institute. Read about the study,...
To Quit or not to Quit: Galileo, Stata, and the Economics of Labor Mobility in Spain
In the midst of a global pandemic and the economic destruction it has already wrought, it can be easy to forget that we are also still feeling the effects of the 2008 financial crisis, twelve years after the fact. José Garcia-Louzao, an economics researcher at the...
Cleaning up Lake Erie with Compute: Econometric Modeling + Galileo = Smart Policy
From massive wildfires to melting icebergs, news of the harmful impact of climate change is all around us. Many of the researchers who use Galileo—in the fields of alternative energy or flood modeling, for example—are crafting engineering solutions to these complex...