Your Trusted AI Infrastructure Partner Enterprise-grade AI infrastructure built for mission-critical performance, in your cloud. Managed by our experts, fully owned by you and with zero vendor lock-in.
- Secure, Observable & Compliant from Day 1
- Zero vendor lock-in
- Scale with confidence
AI Infrastructure Powered by Cutting-Edge Technologies
Harness top open-source technologies for innovation and scalability.
Discover our Core Technologies
AIBrix Stack
KGateway & Gateway API Inference Extension
KServe
LangGraph
NVIDIA Dynamo Platform
Qdrant Vector Database
Vertex AI
vLLM Production Stack
Argo CD & GitOps Workflows
CI/CD & GitOps Automation
AIBrix Stack
KGateway & Gateway API Inference Extension
KServe
LangGraph
NVIDIA Dynamo Platform
Qdrant Vector Database
Vertex AI
vLLM Production Stack
Argo CD & GitOps Workflows
CI/CD & GitOps Automation
Terraform by HashiCorp
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
Amazon EKS
Azure Kubernetes Service (AKS)
Google Kubernetes Engine (GKE)
Karpenter
Langfuse
Prometheus-Grafana Stack
Automated Security
Terraform by HashiCorp
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
Amazon EKS
Azure Kubernetes Service (AKS)
Google Kubernetes Engine (GKE)
Karpenter
Langfuse
Prometheus-Grafana Stack
Automated Security
Enterprise-Grade AI Infrastructure Deployment & Enablement
We partner with you through a proven process designed to de-risk your investment, accelerate deployment, and ensure long-term success.
Planning Phase
Every successful AI initiative begins with strategy. We partner with you to understand your business goals, technical landscape, and success criteria, providing a clear, actionable roadmap.
- Business & Technical Discovery
- Comprehensive AI Infrastructure Assessment
- Customized Delivery Roadmap
- Optimal Design & Solution Architecture
Assessment
Strategy
Architecture
Deployment Phase
Using our automated, battle-tested blueprints, we build and deploy your complete, production-ready AI Infrastructure on your own cloud
- Kubernetes based AI Infrastructure Deployment on AWS | GCP | Azure
- Secure AI Gateway & Multi-Model Management
- Infrastructure as Code, GitOps and full observability
- GPU-Optimized Performance
- Serverless LLM Inference & Autoscaling
Automation
Autoscaling
Security
Operation Phase
Our partnership doesn’t end at deployment. We ensure your AI Infrastructure remains secure, optimized, and up-to-date.
- Proactive Support and Maintenance
- Continuous Platform Evolution
- Direct Access to Our Experts
- Knowledge Transfer & Training
Support
Maintain
Enablement
The Core Pillars Of Our Solutions
Every Drizzle platform is built on foundational pillars that ensure it is modern, scalable, secure, and ready for production from day one.
Unified Automation with IaC & GitOps
We use a unified approach to automation. Your core infrastructure is built with Terraform (IaC), and your applications are deployed with Argo CD (GitOps), creating a single, auditable system for managing your entire platform.
- Infrastructure as Code using Terraform
- Declarative GitOps deployments with Argo CD
- A single source of truth for your entire stack
Optimized for LLM Serving
Utilize state-of-the-art inference engines like the vLLM Production Stack, AIBrix or NVIDIA Dynamo to create a tailored GenAI inference infrastructure on Kubernetes.
- LLM inference and serving with vLLM
- Production implementation with KServe, vLLM Prod Stack and AIBrix
- Essential building blocks to construct scalable GenAI inference infrastructure
- High-throughput, low-latency inference
- Cost effective cloud deployment
Full-Stack Observability
Monitor everything from GPU utilization to token costs with our integrated O11y Stack, built on Prometheus, Grafana, Langfuse and OpenTelemetry.
- Real-time metrics and tracing with Prometheus and Langfuse.
- Pre-configured Grafana dashboards.
- Monitor GPU usage & LLM token costs.
- Pre-build LLM alerting with Alert Manager.
AI Infrastructure Built for Speed, Scale, and Intelligence
Our solutions core principles: unified automation for speed, a secure and scalable inference engine for performance, and complete observability for control.
Infrastructure Engineering (The Foundation)
We build your cloud-native GPU-based infrastructure platform foundation on AWS, GCP, or Azure, or On-Prem using Infrastructure as Code, GitOps and CI/CD.
- Run anywhere: AWS, Azure, GCP, on-premises, or hybrid environments with consistent behavior.
- GPU-powered Kubernetes clusters in secure VPC environments.
- Serverless Inference Workloads - Automatic scaling including scale-to-zero on both CPU and GPU
- Service Mesh
- Canary rollouts and A/B testing
AI/LLM Engineering (The Engine)
Deploy the engine for your AI/LLM applications. You’ll will be provided with a robust, production-grade Inference Platform.
- OpenAI-Compatible APIs
- Serverless Inference Workloads and Dynamic custom scaling
- Unified AI/LLM Gateway with Envoy AI Gateway Integration
- Multi-frameworks Support (Hugging Face, vLLM, AIBrix, and custom models
- KV Cache Offloading and Distributed LLM serving
- Local Model Cache for faster startup
- High Scalability and Density using LLM Mesh
AI/LLM Platform Observability (The Cockpit)
You can't optimize what you can't see. We deploy a complete, AI-native observability stack so you can monitor everything from GPU utilization to token costs from day one.
- Real-time monitoring with Prometheus and Grafana
- Agents and LLM tracing and analytics with Langfuse
- Track performance, cost, and usage metrics
- Pre-built dashboards and alerts.
Stop Building Infra. Start Delivering AI Innovation.
Your AI agents and applications are ready, but infrastructure complexity is creating bottlenecks. We eliminates these obstacles with enterprise-grade AI infrastructure that seamlessly integrates into your existing cloud environment—transforming months of deployment work into days of rapid delivery.