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Drizzle AI Systems

Open Source Prod-Ready AI Infrastructure Solutions

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Important

We are the AI Infrastructure Partner for Funded Startups and Enterprises

Skip the consultants and the DIY headaches.

Use our ready-to-go pre-built blueprints for:

✅ Production-ready AI infrastructure in your cloud, managed by our experts in days, not months
✅ Maintained end-to-end by our experts who does this everyday
✅ We partner with your team in our proven plan-deploy-operate process

Talk to Us

💡 Learn More about Drizzle AI Systems

Our Approach

We bridge the gap between slow, fragile DIY builds and expensive, black-box managed services. Our approach combines the speed of pre-built blueprints with the flexibility of open-source solutions, giving you complete ownership of your AI infrastructure without the headaches.

  • Speed First: Deploy production-ready AI infrastructure in days, not months
  • Zero Lock-in: You own 100% of the code and infrastructure
  • Enterprise-Grade: Security, observability, and compliance built-in from day one
  • Expert-Led: Our team of cloud-native and AI infrastructure specialists guide you every step

How it Works

Our streamlined process gets you from concept to production AI infrastructure in record time:

  1. Discovery & Strategy: We assess your needs and design a customized infrastructure plan
  2. Rapid Deployment: Using our battle-tested blueprints, we deploy your AI infrastructure in your cloud
  3. Handoff & Enablement: We transfer complete ownership and provide comprehensive training
  4. Ongoing Support: Our experts remain available to ensure your success

What We Do

We provide comprehensive AI infrastructure services built on three core pillars:

Infrastructure Engineering (The Foundation)

  • Cloud-native GPU-based infrastructure on AWS, GCP, Azure, or On-Prem
  • Infrastructure as Code with Terraform and GitOps with Argo CD
  • Serverless inference workloads with automatic scaling
  • Service mesh and canary rollouts

AI/LLM Engineering (The Engine)

  • Production-grade inference platforms (vLLM, AIBrix)
  • OpenAI-compatible APIs and unified AI/LLM gateway
  • Multi-framework support and distributed LLM serving
  • High scalability with LLM Mesh

AI/LLM Infrastructure Observability (The Cockpit)

  • Real-time monitoring with Prometheus and Grafana
  • LLM tracing and analytics with Langfuse
  • Performance, cost, and usage metrics tracking
  • Pre-built dashboards and alerts

Professional Services

  • Platform Advisory: Expert guidance like having a fractional Cloud AI CTO
  • Team Enablement & Training: Hands-on workshops and knowledge transfer
  • Legacy Platform Migration: Seamless transition from brittle setups
  • Custom AI Application and Agent Deployment: Deploy your AI solutions with ease

Resources & References

Architecture References

Blog & Guides

Popular repositories Loading

  1. pre-commit-sops pre-commit-sops Public

    Pre Commit hook to ensure that secret files are encrypted with SOPS

    Python 1

  2. public-drizzle-ai-materials public-drizzle-ai-materials Public

    Public Repo to share the Drizzle:AI Resources

    1

  3. terraform-aws-oidc-github-actions terraform-aws-oidc-github-actions Public

    Terraform module to deploy and configure AWS OpenID Connect for Github Actions

    HCL 1

  4. terraform-aws-vllm-eks-helm terraform-aws-vllm-eks-helm Public

    Terraform module to deploy LLM Models with vLLM using Helm

    HCL 1

  5. .github .github Public

  6. terraform-azurerm-aks terraform-azurerm-aks Public archive

    Forked Terraform Module for deploying an AKS cluster

    HCL

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