v1.0 Public Beta is Live

Your Data and AI Stack.
Your Cloud.

AI and data infrastructure, unified — without managed service lock-in.

bash — protostack
# Deploy a production LLM on AWS
protostack deploy llm --model llama-3-70b --provider aws
Initializing Infrastructure...
✔ VPC Configured
✔ GPU Nodes Provisioned (Spot Instances)
✔ Ingress & TLS Setup
Endpoint ready: https://api.yourdomain.com/v1/chat

DEPLOY ANYWHERE, INSTANTLY

AWS

Google Cloud

Azure

Stop building infrastructure from scratch

Protostack gives you the ease of a PaaS with the control and cost-savings of raw IaaS.

Sovereign AI Models

Fine-tune Llama, Mistral, or Gemma on your proprietary data inside your VPC. Your data never leaves your environment.

Serverless Serving

Run LLMs on a 'Scale-to-Zero' architecture. Pay only when your users are actually querying the model.

No Vendor Lock-in

Switch between AWS, Azure, and GCP with a simple config change. We use standard Kubernetes under the hood.

Instant Data Lake

Deploy a ClickHouse cluster for analytics or OpenSearch for Vector Search in minutes, not weeks.

Streaming Ready

Spin up Kafka or Flink clusters effortlessly. POC on a single node, then scale to multi-node for production.

Cloud Agnostic

A unified control plane. Manage your data infrastructure across hybrid clouds from a single CLI.

Why Protostack?

Managed services charge a 300% premium for convenience. Raw Kubernetes requires a team of DevOps engineers. Protostack sits in the middle.

  • Own your weights and data completely.
  • Drastically lower inference costs with spot instances.
  • Automated Day-2 operations (Backups, Updates).
  • Built-in Observability (Grafana/Prometheus).

Annual Cost Comparison (Sample)

Managed AI Services $120,000/yr
DevOps Team + Raw AWS $85,000/yr
Protostack $45,000/yr

*Based on typical fine-tuning and inference workloads for a mid-sized startup.

Ready to regain control?

Join the private beta. Deploy your first Sovereign AI stack in under 15 minutes.

Open source edition coming Q3 2026.