Compute instances
start CPU or GPU workloads instantly

From idea to production, at any scale, anywhere. One platform. One binary.
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start CPU or GPU workloads instantly
more workloads per node vs VM-based environments
from cold metal to running cluster
fully self-contained, no external services
no hypervisor, no virtual machines
same software across all environments
No one else delivers both.
A self-contained, no-stack platform that eliminates external dependencies
Full ownership of workloads and data, regardless of where they run
Container-native, non-virtualized architecture with direct GPU/Hardware access
Seamless operation across AMD64/ARM64, edge, on-prem, and hyperscalers.
Built-in multi-tenant isolation designed for air-gapped and high-sec environments
Manage outcomes, not stacks. Agent-based management over MCP and AsyncAPI, driven by our own Animas models running on your metal.
Everything you need to build, ship and operate — on hardware you own.
Kubernetes, MC2 containers, workstations, networking, registry, certificates, observability and security — one API, with an AI editor, GitHub integration and an MCP server for agents.
Explore the API → DesktopThe dashboard as a native application for Windows, Linux and macOS. Trusts your cluster on first run, stays fenced to it, no browser to share.
See the desktop app → Animas-ROur own language-model engine in pure C — training and inference, no Python and no framework, answering inside the enclave with the link down.
Explore Animas-R → Animas-VObject detection in pure C, on the modern YOLO ladder. Detects on live video, moves CPU to GPU in a click, and learns a new class in front of you.
Explore Animas-V →Deploy QBO as an appliance, on your own hardware, or on your existing Linux environment.
Fill the tank before the journey — don’t pay by the mile.
QBO Units are fuel for your infrastructure. One Unit — qū — is one measure of compute: CPU, GPU, RAM, disk or network, all in the same currency. You buy the Units your workloads need and spend them however you like.
Units buy access to compute, not consumption. No per-hour surprises, no egress bills, no overage.
A GB200 and a Jetson Nano are priced in the same Unit, so you can plan and compare across anything you own.
Cloud, on-premises, edge, airgapped or hybrid — one Unit system across all of it.
One qū is about a dollar before discount. Pre-purchase them, assign them to teams, track them over time.
Air-gapped deployments, full control, no external dependencies.
Private GPU infrastructure for training and inference on your hardware.
Launch and operate GPU cloud services with higher density and lower cost.
Run AI workloads across sites with a consistent, self-contained platform.
“QBO exhibits metal performance across the board with all our ML/AI workloads.”
“With QBO, we took our Kubernetes cluster build-time down from 9 minutes to 70 seconds. It’s mind-blowing; I’ve never seen anything like it!”
“I don’t understand it cause in theory, it (a 60-second deployment) shouldn’t be possible!”
“To be able to deliver on our GTM strategy, we needed a lower and predictable infrastructure cost model, like QBO’s.”
QBO is a proud Silver Member of CNCF and Linux Foundation. QBO Kubernetes also aligns with the Cloud Native Computing Foundation (CNCF) standards, ensuring adherence to best practices in cloud-native computing. This conformance establishes a solid foundation for interoperability.
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