Adviser: Run Cloud Jobs with One Command
No devops. No setup. Just adviser run <your command>.
7 followers
No devops. No setup. Just adviser run <your command>.
7 followers
First $100 of compute is free! Adviser lets you run heavy workloads in the cloud with a single command. No devops, no setup, no Terraform. Just prepend "adviser run" to whatever you normally execute (Python, R, C++, binaries, whatever) and Adviser handles provisioning, environments, scaling, cost optimization, and cleanup. Built for researchers and engineers who want cloud power without the overhead.
I'm giving away $100 in free compute to each new user!
Hey everyone! 👋 I’m one of the co-founders of Adviser Labs. Over the last year, we kept running into the same problem across research, ML, data engineering, quant finance, and biotech teams: running code in the cloud takes way more devops work than it should. Configuring clusters, picking instance types, setting up environments, managing IAM, writing Terraform, cleaning up resources afterward… it all adds friction to what should be a simple workflow.
So we built Adviser, a one-command execution layer for cloud workloads.
How it works...
You take whatever command you normally use:
python train.py
Rscript analysis.R
./simulate
…and just prepend:
adviser run
Adviser handles:
-provisioning the right compute/storage/networking
-environment setup
-scaling
-cost/performance optimization
-teardown and cleanup
All automatically. No need to know Terraform, Kubernetes, or cloud internals.
Who is this for? Anyone who runs heavy jobs but doesn’t want to deal with cloud infrastructure: ML engineers, Data scientists, Quant researchers, Bio/chem researchers, Simulation workloads, Pipeline-heavy workflows
Free to try: To make testing easy, the first $100 of compute is free. Enough to run several real workloads without committing to anything.
Links
🔗 Docs: https://github.com/adviserlabs/docs
💬 Slack Community: https://www.adviser.sh/
Would love your feedback, feature requests, and critiques. We’re still early and trying to shape this around what teams actually need. Your input genuinely helps.
Thanks for checking it out! 🚀