01
Memory to spare
From 256GB of RAM — built for single-cell, genomics, and large-data jobs.
General compute
High-memory serversready the moment you log in
From 20 CPU cores and 256GB of memory. Built for bioinformatics, data processing, and jobs that run for days.
From 20 CPU coresFrom 256GB memoryAnalysis environment preconfigured
General compute
Memory, environments, and technical support are handled up front, so jobs can run unattended.
02
Environment set up
RStudio, Jupyter, Python, Conda, and common research software configured for you.
03
Set it and forget it
Jobs keep running on the server — no need to keep your own machine on.
04
Help when you need it
Dependencies, migrations, and failed runs — engineers are on hand.
When to switch
Keep light analysis on your laptop. When jobs get memory-hungry and long, that’s the time to move.
Local machine
For light analysis and everyday use
- Memory
- Capped by your hardware
- Long-running jobs
- Your computer stays on around the clock
- Cost
- Big upfront purchase, outdated within a few years
- Environment setup
- Configured per machine
Public cloud on-demand
For ad-hoc tests and short jobs
- Memory
- You pick the config yourself
- Long-running jobs
- Billed by the hour — multi-day runs add up fast
- Cost
- Pay-as-you-go bills are hard to predict and easy to overspend
- Environment setup
- Usually self-serve
General compute server
For high-memory, long-running jobs
- Memory
- From 256GB
- Long-running jobs
- Jobs run on the server
- Cost
- Flat yearly pricing, costs stay predictable
- Environment setup
- We help configure
Plans & pricing
Solo researchers and teams need different setups.
For personal analysis, code development, and everyday research workloads.
3.0 Starter
$1,199/ year
- 20 CPU cores
- 256GB memory
- 512GB storage
For transcriptomics, routine bioinformatics pipelines, and first-time server users.
3.0 Pro
$2,199/ year, from
- 40 CPU cores
- 512GB memory
- 1TB storage
For more samples, heavier jobs, or bigger memory needs.
Shared plans are sized for long-term individual use; exact resource allocation is confirmed before provisioning.
Use cases
Single-cell & genomics
Headroom for high-memory pipelines like CellRanger and Seurat.
Transcriptomics & metagenomics
Keep data, scripts, and results together — no more shuttling files around.
R & Python analysis
RStudio and Jupyter in the browser, environments already set.
Long-running compute
Leave jobs on the server instead of keeping your laptop on for days.
Tell us about your workloads
Send us your analysis type, data scale, and team size. We’ll figure out whether the job is memory- or CPU-bound, then recommend a configuration.
No need to know server specs up front
Software versions and environment confirmed before launch
FAQ
Can I use it without knowing Linux?
Yes. RStudio and Jupyter open right in the browser — everyday work doesn’t require the command line.
Can I migrate existing code and data?
Yes. We confirm software versions, dependencies, and file paths before provisioning.
Can several people share it?
Yes. The right setup depends on team size and whether you run jobs at the same time.
What if I need GPUs?
For model training, deep learning, and GPU-accelerated work, cloud GPU servers are a better fit.