ETT and CUDO Compute
Technology we implement
CUDO Compute is ETT's infrastructure partner for dedicated GPU-hosted IaaS — the platform behind the H100 compute capacity ETT provisions for clients building AI native to their business.
CUDO Compute is a technology ETT designs with, deploys and supports. No formal partnership is claimed, and CUDO Compute is not an ETT customer.
About CUDO Compute
CUDO Compute is a GPU cloud platform providing on-demand and reserved access to high-performance NVIDIA infrastructure across a globally distributed network of data centres.
It gives organisations a flexible alternative to hyperscaler GPU capacity, with transparent pricing and the ability to reserve dedicated hardware for sustained AI workloads.
How CUDO Compute fits into how we work
Access to GPU power has become one of the real bottlenecks in enterprise AI. Hyperscaler capacity is contended, expensive and often hard to reserve when a workload genuinely needs it. CUDO Compute is how ETT solves that for clients, and it is a deliberate part of the story we tell about building AI that an organisation actually owns and controls.
Working through CUDO Compute lets ETT give clients dedicated, high-performance infrastructure without tying them to a single hyperscaler or asking them to build their own data centre. It means the infrastructure conversation stops being a blocker and becomes something we can simply provision and manage on the client's behalf, so the focus stays on the outcome rather than the plumbing.
Our work around CUDO Compute
We specify, provision and support dedicated GPU environments through this provider where a sustained workload justifies dedicated capacity.
Capacity when it is needed
We use CUDO Compute to reserve dedicated GPU capacity for sustained workloads, so a client's AI initiative is not held hostage to whatever a public cloud happens to have spare that week.
Transparent, predictable cost
Clear pricing on dedicated hardware means clients can plan AI spend with confidence rather than being surprised by variable cloud GPU billing, which makes the business case easier to stand behind.
Managed, not just rented
ETT designs, provisions and oversees the environment around CUDO capacity, so the client gets a working platform rather than a bare instance they then have to operate themselves.
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