Different reasons, same answer: AWS-compatible APIs on infrastructure you control. Here's where we see it most.
Mission software was built for AWS. Operations happen where AWS isn't. Spinifex closes that gap: an AWS-compatible cloud running on the hardware already on-site, hardened for disconnection.
Cloud-native software assumes the cloud is always there. Defence reality is the opposite. The AI stops inferring, the EW pipeline stops processing, the command app stops responding the moment the link degrades.
An AWS-compatible cloud on operator-owned hardware. Air-gapped, hardened, deployable to site. Same EC2 / S3 / VPC / EBS APIs your software already uses. No rewrite, no re-platform.
ISR & EW providers, command software ISVs, defence integrators, and sovereign capability programs running mission software at the edge.
Forward operating bases, tactical vehicles, ships, drones, ground stations, sovereign data centres. Where the operation is.
AWS got you to market. Now leaving is the project most teams never start. Spinifex takes the rewrite out of the equation: repoint, don't re-platform.
The bill scales faster than usage. The lock-in deepens with every AWS-specific service you adopt. Regulators ask harder questions about jurisdiction. The case to leave gets stronger every quarter, and the rewrite cost kills it every quarter.
Move workloads onto your own data centre, your private cloud, or a Neocloud partner, by changing an endpoint, not the software. Same APIs. Predictable bill. Open core you can audit.
Regulated industries: financial services, healthcare, gov, energy. Platform teams running mature AWS workloads. Organisations with sovereignty or data-residency mandates.
Smaller, more predictable spend. End-to-end control of your stack. Data in the jurisdiction you choose. No next lock-in, because the core is AGPL and yours to keep.
Run your AWS-native training and serving stack on a Neocloud's GPU fleet. Same code, same APIs, often half the cost.
GPU on AWS is the most expensive, queue-bound, region-locked place in cloud. Neoclouds have the H100s, the H200s, and the B200s for less. But your stack is built for AWS, and re-platforming it eats months you don't have.
Spinifex sits on a Neocloud GPU fleet and exposes EC2 / EBS / S3 / VPC. Your existing AWS training and serving pipelines run unmodified. Terraform, the AWS CLI, the SDKs all just work.
AI labs, model-serving startups, ML platform teams running large GPU fleets and looking at their AWS bill.
Neocloud GPU capacity is often 50%+ cheaper than the same iron on a hyperscaler, without the egress traps. Spinifex makes that capacity addressable from your existing stack.