CueCloud

PRIVATE INFERENCE / HARDWARE + RUNTIME

Vault /

AI, in your environment.

Mac Studio hardware and CueCloud inference software, configured for your models and workloads.

Discuss your Vault pilot ↗

Hardware availability and installation are confirmed for your deployment.

RequestYour modelResponse
Vault conceptual local compute illustrationAn abstract solid compute volume on a gridded plane, with a luminous model-serving layer above it. This is not a physical enclosure or internal hardware diagram.
Conceptual system illustration

VAULT / YOUR FIRST WORKLOAD

Sized for your work.

01 / CHOOSE YOUR WORKLOAD

Check the engineering loop.

  • Code quality on representative tasks
  • Tool-use behavior and response format
  • Responsiveness across repeated steps

We confirm model compatibility, licensing and capacity during sizing.

Model selection and estimates

Selected checkpoints, context and concurrent requests affect memory needs. Explorer estimates cover raw weights, not total serving memory. Training and fine-tuning require separate scope.

Explore models and comparisons ↗
YOU BRINGModels + contextUsers + concurrencyPower + cooling + network + space
WE CONFIGUREYour Vault configuration
VALIDATE TOGETHER Model fit Response time Operating limitsPilot acceptance criteria.

Hardware and site readiness are agreed before the pilot.

Confirm hardware delivery and site readiness before installation.

Site readiness and installation

Review power, cooling, network and space. Configuration planning is separate from hardware delivery and installation.

Restricted or offline environments

Plan model and package imports, local identity, updates and support. Test the complete workflow within the agreed network boundary.

Access, records and operating handoff

Agree access, storage, recording and retention. Hand over configuration, acceptance results and recovery procedures with named owners.

Explore Blitz for engineering work ↗

Vault also serves your applications without Blitz.

VAULT / THE HARDWARE EVOLUTION

Vault hardware.
Today and next.

Mac Studio is the current path. Aether-1 is in development.

VAULT / GENERATION EXPLORERLOCAL INFERENCE SYSTEMS
GEN 1 / SYSTEM ANATOMYAPPLE SILICON
Mac Studio shared-memory inference pathCueCloud inference software schedules work on an Apple Silicon CPU and GPU accessing unified memory. Applications connect through a local inference endpoint. Logical architecture, not a chip floorplan.01 / SHARED MEMORY + CUSTOM INFERENCECUECLOUD INFERENCE STACKModel execution · memory management · schedulingAPPLE SILICON / LOGICAL VIEWCPUHost + orchestrationGPUModel computationUNIFIED MEMORYModel weights + writable state in a shared poolMAC STUDIO / INSTALLED ON YOUR PREMISESAPPLE SILICON / LOGICAL ARCHITECTURE
SCHEMATIC / SWIPE TO EXPLORE ↔

The same memory serves CPU and GPU. Serving capacity depends on the model, context and concurrent workload.

CURRENT DEPLOYMENT PATH

Software optimized for Apple Silicon.

Mac Studio + CueCloud inference software. Configuration, installation and acceptance are scoped with your team.

Why develop our own processor?

Model capacity, memory bandwidth and whole-system power all affect local inference. Mac Studio establishes the current path. Aether-1 explores a different balance for larger models within site constraints. These goals require workload testing; they do not establish better performance, lower power or future compatibility.