Deploy LLMs in minutes
without infrastructure.
Pick a pre optimized model, define your tokens per day, and let Deploy Pad choose the most cost effective GPU configuration. We handle orchestration, scaling, and monitoring, so you don’t have to.
AI inference at scale,
without infrastructure overhead.
Deploy Pad is a fully managed inference deployment engine. Instead of provisioning GPUs, optimizing models, or managing MLOps stacks:
Start with an Optimized Model
Choose a throughput-optimized model from our library, or connect your own.
Define Your Performance Needs
Choose to deploy on the latest Nvidia GPUs from Hopper to Blackwell
Instant Cost-Efficient Setup
Deploy Pad recommends the most cost-efficient dedicated GPU configuration automatically.
Fully Managed Production
We continuously monitor, maintain, and scale the entire deployment for you.
From AI model to
deployment in minutes
Our streamlined process ensures your models are production-ready with zero infrastructure management.
Choose model
Accelerate your time-to-market by choosing from our extensive, curated library of models. These are already pre-optimized for Deploy Pad’s runtime, guaranteeing peak speed and efficiency right out of the box.
If your model isn’t in the library, visit our Contact Page to request it, we’ll handle the onboarding for you.
Why teams choose Deploy Pad
Compare our fully managed enterprise solution against typical self-managed inference stacks.
| Feature | Typical Stacks | Deploy Pad |
|---|---|---|
Infrastructure Management | Manual procurement & hardware lifecycle management | Fully managed, serverless GPU infrastructure |
Model Optimization | Complex CUDA & library version management | Pre-tuned weights & optimized CUDA kernels |
Scaling Logic | Custom orchestration & manual load balancing | Instant auto-scaling across hundreds of GPUs |
Cost Efficiency | High idle costs & wasted capacity from over-provisioning | Pay-per-token with automatic resource optimization |
Operational Overhead | Internal DevOps team required 24/7 | Zero maintenance with enterprise-grade SLA |
Custom support at any stage
Contact Our Experts
Get in touch with our team directly via the Contact page to discuss your specific infrastructure needs.
Submit Model & Define Workload
Initiate the process by submitting your model and defining your expected traffic details.
End-to-End Management by Geodd Experts
We handle onboarding, optimization, and serving.
Trusted at
production scale.
Deployment time
Rapid cluster orchestration powered by our proprietary Laminar substrate.
Nvidia GPUs
Available on demand across global clusters.
higher Throughput
Optimized kernel execution for large language models.
region
Coverage
Redundant data centers with ultra-low latency interconnects.
Reduced MLOps overhead
Automated scaling and self-healing nodes let your engineers focus on the math, not the metal.
AI Labs and Teams
Trusting Geodd with their most sensitive model training.
Deploy faster. Spend less.
Deploy Pad turns your workload definition into a fully managed, cost-optimized inference deployment in minutes. Forget infrastructure and focus on your application.