The Challenge: Bridging the Gap Between Model and Production
For DevOps and AI engineering teams, the pressure to deploy AI is immense, but the path is filled with friction. Brilliant models that work perfectly in a notebook often break when faced with the complexities of production infrastructure.
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For DevOps & Platform Teams: You’re tasked with managing a chaotic new stack. This means wrestling with GPU drivers, complex Kubernetes configurations, securing a dozen unfamiliar open-source tools, and firefighting performance issues on expensive, stateful hardware—all while trying to maintain uptime and control costs.
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For AI & ML Engineers: You’re stuck waiting. Long delays for infrastructure, dependency conflicts, and a complete lack of visibility into production performance (latency, throughput, cost) kill your velocity. A/B testing models or deploying a new agent becomes a month-long project instead of a day-long task.
The Drizzle:AI Solution: Your Production-Ready AgentOps Framework
Drizzle:AI eliminates this friction by providing a standardized, automated, and fully-owned platform that bridges the gap between development and production.
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Unified Automation with IaC & GitOps: We provide a single source of truth for your entire AI stack. The platform is deployed with battle-tested Terraform modules, and all applications are managed declaratively with ArgoCD. This means you get repeatable, secure, and auditable environments from day one.
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Secure & Scalable LLM Inference: Get a production-grade model serving stack out of the box. We deploy vLLM or AIBrix on Kubernetes with intelligent GPU autoscaling. Our framework is secure by design, integrating tools like Trivy, Checkov, and SOPS to ensure your infrastructure is compliant and protected.
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The AI Hub for Governance & Speed: Our centralized LLM Gateway provides a unified, OpenAI-compatible API for all your developers and agents. You can enforce team-based quotas, manage access, and use intelligent routing to A/B test models, all while maintaining strict governance and security.
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Out-of-the-Box Observability for AI: Stop guessing about performance and cost. Our platform comes with a pre-configured observability stack—Langfuse, Prometheus, and Grafana—giving you immediate, actionable insights into the metrics that matter.
Key Outcomes for Your Team
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Slash Time-to-Production: Go from a model in a notebook to a scalable, production endpoint in hours, not months.
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Gain Full Cost Control: Finally get clear, actionable dashboards on your cost per 1k tokens and GPU utilization.
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Deploy with Confidence: Eliminate ad-hoc scripts and fragile setups with a battle-tested, GitOps-driven workflow that gives you predictable p95 latency, throughput, and error rates.