Powered by Latitude.sh, Megaport Compute as a Service gives you the flexibility to deploy dedicated CPU and GPU infrastructure in minutes, with private connectivity through Megaport’s global Software Defined Network. Run workloads your way with the same speed, control, and simplicity you expect from Megaport.
Compute and network, now seamlessly integrated.
Features
On-demand deployment
Deploy compute resources on dedicated servers across 20+ global Latitude.sh locations — no upfront commitments or long provisioning times.
Reserved instances
Secure a more cost-efficient setup by reserving instances on a long-term commitment for more predictable projects.
CPU and GPU configurations
Choose from a variety of CPU or GPU configurations to best suit your needs, from everyday compute tasks to large-scale AI training.
Connect everywhere
Extend your compute to supported public clouds, private data centers, and on-prem environments using Megaport’s global network backbone across more than 1000 enabled locations.
How It Works
Deploy and connect compute in three easy steps.
- Choose a location. Select your preferred Latitude.sh location, close to your users, applications, or data.
- Select and deploy compute. Choose an available CPU or GPU configuration, and launch dedicated compute resources on demand.
- Connect your infrastructure. Create private connectivity between your compute resources and supported clouds, data centers, applications, or edge environments through the Megaport Network.
Latitude
Compute at your doorstep.
Get closer to the cloud with Megaport. Access the services and resources you need no matter where your business lives.
Reach out to our team
Let our experts help you find the right connectivity solution.
Solutions
Latitude compute options.
CPU Compute
General-purpose compute for everyday workloads. CPU servers deliver consistent, scalable performance for applications, virtualization, and containerized environments.
Best suited to
General-purpose and processor-intensive workloads
Example workloads
Applications, virtualization, containers, data processing
Resource model
Dedicated server, VM, or both
GPU Compute
Accelerated compute for AI, ML, and high-performance computing. Get GPU virtual machines for burstable workloads to scale capacity according to your needs.
Best suited to
Parallel and accelerated workloads
Example workloads
AI training, inference, machine learning, HPC
Resource model
Dedicated GPU, GPU VM, both
Get Started
Power your AI network
Latitude.sh’s high-performance compute clusters are built for training, inference, and real-time data processing. NVIDIA-powered GPUs and high-speed interconnectivity make it easy to scale your infrastructure for modern applications. And it’s all integrated directly through the Megaport Network.
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