AI Infrastructure Powered by Cutting-Edge Technologies

AIBrix Stack

AI & ML Tooling

Construct scalable, enterprise-grade GenAI inference infrastructure with DAIS expert implementation of the AIBrix building blocks.

KGateway & Gateway API Inference Extension

AI & ML Tooling

Drizzle AI Systems uses modern, Kubernetes-native gateways like KGateway, built on the official Gateway API and its Inference Extensions, for intelligent, LLM-aware routing.

KServe

AI & ML Tooling

The open-source standard for self-hosted AI, providing a unified platform for both Generative and Predictive AI inference on Kubernetes.

LangGraph

AI & ML Tooling

Drizzle AI Systems leverages LangGraph to enable the creation of powerful, stateful, and resilient AI agents and multi-step applications.

NVIDIA Dynamo Platform

AI & ML Tooling

Deploy enterprise-grade LLMs with ease and unparalleled performance using NVIDIA Dynamo Platform, expertly integrated by Drizzle:AI.

Qdrant Vector Database

AI & ML Tooling

Power your GenAI applications with a production-ready Qdrant Vector Database, expertly deployed and managed by Drizzle.

Vertex AI

AI & ML Tooling

Leverage Google Cloud's end-to-end MLOps platform to build, deploy, and scale GenAI applications with Vertex AI and Google's Gemini models.

vLLM Production Stack

AI & ML Tooling

Achieve state-of-the-art LLM inference performance with Drizzle's expert implementation of the vLLM Production Stack.

Argo CD & GitOps Workflows

Automation

Drizzle implements automated, auditable, and secure deployment workflows for your AI platform using Argo CD and GitOps best practices.

CI/CD & GitOps Automation

Automation

Drizzle AI Systems uses robust CI/CD pipelines with GitHub Actions and GitLab CI to automate the entire lifecycle of your AI platform, from infrastructure to application deployment.

Terraform by HashiCorp

Automation

Drizzle leverages Terraform to automate the deployment of your entire AI platform, ensuring a secure, repeatable, and production-ready environment from day one.

Amazon Web Services (AWS)

Cloud Provider

Leverage the full power of AWS with Drizzle's automated platform accelerator for deploying secure, scalable, and production-ready AI workloads.

Microsoft Azure

Cloud Provider

Deploy high-performance AI platforms on Microsoft Azure with Drizzle's automated accelerator, ensuring a secure, scalable, and production-ready environment.

Google Cloud Platform (GCP)

Cloud Provider

Harness Google Cloud's powerful infrastructure with Drizzle's automated accelerator for deploying secure, scalable, and production-ready AI workloads.

Amazon EKS

Kuberenets

Gain invaluable predictive analytics and actionable insights, empowering your to make data-driven decisions.

Azure Kubernetes Service (AKS)

Kubernetes

Deploy scalable and efficient AI solutions on Azure Kubernetes Service (AKS) with Drizzle's fully automated platform accelerator.

Google Kubernetes Engine (GKE)

Kubernetes

Build and scale your AI applications on Google Kubernetes Engine (GKE), the pioneering Kubernetes service, with Drizzle's automated platform accelerator.

Karpenter

Kubernetes

Drizzle AI Systems integrates Karpenter for intelligent, just-in-time node provisioning, optimizing cluster efficiency and significantly reducing cloud costs.

Langfuse

Observability

Drizzle integrates Langfuse to provide deep, open-source observability for your LLM applications, giving you detailed tracing, evaluation, and analytics.

Prometheus-Grafana Stack

Observability

Gain deep insights into your AI platform's performance and cost with Drizzle's integrated implementation of the O11y Stack.

Automated Security

Security & Compliance

Every Drizzle:AI platform is secure by design, with integrated tools like Cert Manager and External Secrets Operator to automate critical security workflows.