Deploy Pad
Deploy your LLMs in minutes without touching 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.
ZERO DEVOPS FRICTION
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:
< 5 minute deployment
Start with an Optimized Model
Choose a throughput-optimized model from our library, or connect your own.
500+ Nvidia GPU Pool
Define Your Performance Needs
Choose to deploy on the latest Nvidia GPUs from Hopper to Blackwell
Cost-based GPU selection
Instant Cost-Efficient Setup
Deploy Pad recommends the most cost-efficient dedicated GPU configuration automatically.
Auto-scaling & observability built-in
Fully Managed Production
We continuously monitor, maintain, and scale the entire deployment for you.
INSTANT PRODUCTION
From AI model to deployment in minutes
Step 1
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.
Step 2
Define workload
Input your anticipated daily token workload and define your target latency requirements (p99). This data allows Deploy Pad to automatically recommend the optimal, cost-efficient GPU configuration for your needs.
Step 3
Get recommendation
The platform’s proprietary AI engine actively scans multi-cloud capacity for the most efficient hardware available. It then selects the optimal GPU configuration to deliver the required performance at the absolute lowest operational cost.
Step 4
Deploy at scale with over 500+ Nvidia GPUs
Achieve truly infinite capacity by auto-scaling across a network of over 500+ GPUs in multiple regions. This guarantees resource availability under any load.
Step 5
We monitor & maintain
Our dedicated MLOps team provides 24/7 coverage, actively monitoring and maintaining your deployment around the clock. We handle all observability and continuous optimization, ensuring your infrastructure is always performing at peak efficiency without requiring your constant attention.
If your model isn’t in the library, visit our Contact Page to request it, we’ll handle the onboarding for you.
THE DEVOPS SOLUTION
Why teams choose Deploy Pad
Typical inference stacks
- Source and manage GPU infrastructure
- Handle model optimization and performance tuning
- Build and maintain scaling logic
- Over provision resources to stay online
Deploy Pad
- 25–50% higher throughput out of the box
- Automatic cost optimization for your chosen LLM
- No model optimization overhead - models are already tuned
- Auto-scaling across Hundreds of GPUs
- Full infrastructure maintenance by our team
ALL-IN-ONE PLATFORM
Everything you need. Already built in
Pre Optimized Models
All models in the library are tuned for high throughput and low latency.
Cost Optimizer
Automatic GPU selection for the best price-performance ratio.
Latency Optimized
p99 performance guarantees.
Auto Scaling
Scale from 1 to 500+ of GPUs on demand.
Observability Built-In
Metrics, logs, alerts, and monitoring included.
Custom Model Requests
Submit new model requests via the Contact page.
Global GPU Pooling
Lower operational cost through shared capacity.
MLOps Reduction
70% less overhead.
YOUR MLOPS PARTNER
Custom support at any stage
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.
Fully managed
Submit Model & Define Workload
Initiate the process by submitting your model and defining your expected traffic details.
SLA-backed deployment
End-to-End Management by Geodd Experts
We handle onboarding, optimization, and serving.
ENTERPRISE RELIABILITY
Trusted at production scale
AGILITY IS KEY
Built for developers who move fast
Pre-Optimized Model Library
Start with a curated model tuned for maximum speed and efficiency.
Intuitive API-First Workflow
Integrate effortlessly using standardized APIs, eliminating complex setup for developers.
Real-Time Observability
Instantly monitor performance, cost, and latency across all your global deployments.
Tooling and Integration Support
Automate deployment and management using native CLI and dedicated SDKs.
One GPU Pool. Multiple Nvidia Generations.
Access a flexible GPU pool spanning Hopper and Blackwell, so workloads land on the right hardware without vendor lock-in.
START NOW
Deploy faster. Spend less. Forget infrastructure.
Deploy Pad turns your workload definition into a fully managed, cost-optimized inference deployment in minutes.