Deployment Options

Deploy the way you work — full control, zero compromise.

Geodd’s deployment architecture adapts to your operational needs.

Whether you want fully managed performance, private infrastructure control, or a hybrid balance — we provide flexible deployment paths that maintain the same speed, consistency, and reliability.

INFRASTRUCTURE SUMMARY

Overview

Every workload is different — some demand total control, others demand total freedom from maintenance.
Geodd supports three deployment paths designed to match your performance, compliance, and operational requirements.

Teams who want zero ops overhead.

Managed Deployment

Fully managed infrastructure hosted and maintained by Geodd.

Enterprises with strict compliance or control needs.

Private Deployment

Deployed on your infrastructure, with our software layer and management stack.

Teams balancing cost, performance, and data control.

Hybrid Deployment

Mix of both — Geodd manages the performance layer while compute runs in your private environment.

OUR ENGINEERING DNA

Everything handled — from orchestration to optimisation.

Geodd hosts and operates the full deployment stack for you.

We handle scaling, observability, and optimisation — so your team focuses only on the workload.

Fully automated scaling and monitoring are built into every deployment.

Get a performance-tuned environment ready to run models at peak speed.

Automated Ops Stack

Fully automated scaling and monitoring are built into every deployment.

Zero Setup, Zero Maintenance

Eliminate setup and maintenance; focus purely on building your product.

Direct Expert Access

Direct access to our support and MLOps engineering teams.

Fastest Path to Production

Go from an AI model to a global endpoint in minutes.

OUR ENGINEERING DNA

Your hardware. Our performance layer.

For teams operating in sensitive or compliance-bound environments, Private Deployment allows Geodd’s software layer to run on your infrastructure — giving you full control over data, networking, and compute allocation.

Full Compute Ownership

Retain complete ownership of your compute resources and security posture.

Local Orchestration Integration

Geodd's orchestration layer integrates directly within your local environment.

Existing Pipeline Compatibility

Seamlessly compatible with your current monitoring and CI/CD pipelines.

Fully Isolated Environment

No shared resources; ensures maximum security and predictable performance.

Custom SLAs and Maintenance

Tailored SLAs and maintenance schedules meet your unique operational requirements.

ISOLATED & SECURE

The best of both — performance managed, data controlled.

Hybrid deployments give you the flexibility of private control with the efficiency of Geodd’s managed performance layer.

We handle orchestration, monitoring, and model optimisation — you decide where your compute runs.

Run On Your Own Terms

Run workloads on your hardware or preferred cloud provider.

Geodd Performance Software

Leverage Geodd’s software for performance and deep optimization capabilities.

Data Control and Compliance

Maintain full control over data flow, security, and compliance requirements.

Sustained Operational Excellence

Scalable, monitored, and continuously optimized for sustained performance.

Maximum Concurrency Throughput

Achieve 25–50% higher throughput during intense concurrent traffic loads.

Stable P99 Latency

Guarantees stable p99 latency even when handling high request volumes.

Accelerated Token Generation

Achieve 2–3x faster generation using speculative decoding techniques.

Сontinuous monitoring and turning

No extra MLOps overhead.

FLEXIBILITY & SCALE

Why It Matters

Regardless of how you deploy, the underlying performance remains the same

All options are powered by the same Optimised Model Engine and Deploy Pad orchestration stack — just configured for your environment.

GLOBAL FREEDOM

Deploy where you want,
with confidence.

Whether fully managed, privately hosted, or hybrid — you get the same speed, optimisation, and reliability Geodd is known for.

Choose the deployment path that fits your team, your workloads, and your priorities.