Orama Zetta · deployment
Your cloud, on-prem, or dedicated
Orama Zetta deploys in your own cloud, on-premises, or on dedicated infrastructure. And wherever it runs, the cluster underneath is true hybrid: CPUs, GPUs, and ASICs from any vendor, across operating systems, architectures, and multiple clouds at once, squeezing the most out of whatever hardware you give it.
01 · Where it runs
Deployed onto infrastructure you run.
Your cloud
Provision Orama Zetta nodes into your own AWS, Azure, GCP, or Oracle Cloud account, or your Kubernetes cluster. The platform runs under your identity provider and your controls.
On-premises
Run entirely within your own data center for the most regulated environments — the same workflow and the same governance, with no dependency on a public cloud.
Dedicated
Run on dedicated infrastructure isolated to your organization. Start on a single machine to validate a use case end-to-end, then promote the same graph to a shared target.
02 · The payoff
Control over cost, flexibility, and resilience.
Because the cluster is never bound to one vendor's hardware, prices, or availability.
Cost
Run each workload on the cheapest hardware that fits, and spend capacity you already own or have idle before renting more. Burst into a cloud only when needed, under a cost cap. No premium for standardizing on one vendor.
Flexibility
Mix any vendor, architecture, and cloud in a single cluster. Adopt new silicon as a backend, not a re-architecture — place each workload where it runs best.
Resilience
An outage or slowdown in one cloud, region, or GPU vendor does not take the cluster down. The cluster self-heals, healthy nodes pick up the pending work, and the job keeps running on whatever is still up.
03 · What it spans
Every major vendor, in one cluster.
Heterogeneous compute: native execution on every backend for high performance at lower cost
| Backend | Hardware |
|---|---|
| CPU | x86-64 · ARM |
| CUDA | NVIDIA GPU |
| ROCm | AMD GPU |
| MLX | Apple silicon |
| Vulkan | Cross-vendor GPU |
| SYCL | Intel · oneAPI / cross-vendor |
| GCP TPU | Google ASIC |
| AWS Neuron | Trainium · Inferentia |
Talk to sales
Bring us the problem
Tell us what you want your data to do and where it has to run. We will scope the deployment with you on a call.