I left my job earlier this year after watching companies get crushed by cloud bills for workloads that didn't need hyperscaler complexity. Some examples from my previous life: - $1k/month for a basic 16 vCPU VM - $50k/month for a high-RAM instance - Over $1k/month for notebook platform start-stop execution
We built Carolina Cloud for data scientists and small teams who need serious compute without the sticker shock. Our sweet spot: if you're running VMs, notebooks, or RStudio and not deeply tied to AWS/Azure/GCP service ecosystems, we can save you a lot of money.
What we offer: - Standard Ubuntu VMs - One-click Marimo notebooks - One-click RStudio Server and Shiny hosting - S3-compatible object storage (launching soon) - Prepay discounts for commitments as short as 2 weeks - SOC2-certified, HIPAA-compliant datacenter in Charlotte, NC
Simple pricing: $0.005/vCPU/hr, $0.005/GiB RAM/hr, and $0.0001/GiB of hot storage/hr on AMD EPYC Turin processors. A 32 vCPU, 128GB RAM instance runs ~$240/month vs $800+ on AWS.
We're not trying to replicate every AWS service - if you need Lambda + Secrets Manager + S3 with pre-signed URLs, stick with AWS. But if you're a hedge fund running backtests, a biotech team analyzing genomics data, or a researcher who just needs a beefy VM without surprise egress fees, we're 1/3 the price.
Check us out at console.carolinacloud.io - happy to answer questions about our infrastructure, pricing, or why we think there's room for regional clouds built on owned hardware.