---
title: "AI/ML Infrastructure"
description: "GPU compute at the edge for AI and ML workloads. Train models, run inference, and scale globally with low latency."
url: https://edge.network/solutions/ai/
---

# AI/ML Infrastructure

AI & Machine Learning

# Inference is better at the edge

Run LLMs and SLMs on distributed GPU infrastructure. Low-latency inference,
cost-effective training, and global scale.

[Get Started](https://edge.network/account) [View GPU Pricing](https://edge.network/compute/gpus)

## Purpose-Built for AI Workloads

Infrastructure designed from the ground up for machine learning.

### GPU Compute at the Edge

NVIDIA GPUs deployed globally for low-latency inference. Run models closer to your users.

### Model Hosting

Deploy and scale ML models with automatic load balancing and version management.

### Sub-100ms Inference

Edge deployment means faster responses. Critical for real-time AI applications.

### Global Distribution

Serve AI workloads from 60+ locations. Automatic routing to the nearest GPU cluster.

### Flexible Infrastructure

From shared GPUs to dedicated clusters. Scale compute up or down as demand changes.

### Cost-Effective Training

Access GPU compute at a fraction of hyperscaler prices. No egress fees for model deployment.

## Built for Every AI Use Case

### Real-Time Inference

Deploy models for instant predictions – image recognition, NLP, recommendations.

### LLM Applications

Host and serve large language models with low latency and high throughput.

### Computer Vision

Process video and images at the edge for surveillance, quality control, and more.

### Training Workloads

Access affordable GPU compute for model training and fine-tuning.

## Why Edge for AI?

Traditional cloud providers charge premium prices for GPU compute and add steep egress fees.
Edge offers a better way.

Up to 60% lower GPU costs vs. hyperscalers
Zero egress fees for model deployment
Global edge locations for low-latency inference
Simple, predictable pricing
No long-term commitments required

Example Savings

### A100 GPU Instance

AWS p4d.24xlarge $32.77/hr
Google Cloud a2-highgpu-8g $29.39/hr
Edge GPU Compute $12.00/hr

[View full GPU pricing](https://edge.network/compute/gpus)

## Ready to deploy AI at the edge?

Get started with GPU compute today. No commitment, pay only for what you use.

[Get Started](https://edge.network/account) [Talk to an Expert](https://edge.network/contact)