CPU orchestration
Match workload requirements to suitable high-performance server resources, with explicit capacity and lifecycle planning.
AIOTOR CLOUD / PRIVATE INFRASTRUCTURE
The infrastructure behind your next breakthrough.
AIOTOR CloudFabric unifies CPU and GPU compute, resilient storage, high-speed networking, KIVVEC security and PixelD experiences into an integrated private-infrastructure architecture.
Designed for enterprises, research institutions, data centers and infrastructure partners that need to keep complex workloads close to the data, under their control.
01 / COMPUTECPU and GPU
02 / DATAKVFES fabric
03 / PROTECTIONKIVVEC
04 / EXPERIENCEPixelD
A MORE COHERENT INFRASTRUCTURE MODEL
Stop assembling isolated systems. Start operating one fabric.
CloudFabric brings the major infrastructure layers together around real operational outcomes: faster access to the right compute, governed data, stronger evidence and simpler service delivery.
GPU infrastructure
Plan interactive GPU workstations, private AI inference, rendering, simulation and scientific acceleration in one environment.
Resilient data with KVFES
Connect distributed storage and recovery-oriented design to the compute fabric, with integrity and restoration as qualification goals.
High-speed connectivity
Architect traffic segmentation, east–west data paths and edge or branch connectivity for each deployment.
KIVVEC protection
Bring security visibility, runtime evidence and controlled policy decisions into the infrastructure operating model.
PixelD workspaces
Deliver visual computing, virtual applications and managed GPU desktops without requiring every user to own a high-end workstation.
CLOUDFABRIC ARCHITECTURE
One platform. Specialized layers.
CloudFabric is the integrated deployment offering; its components retain their own functions, security boundaries and qualification requirements.
CLOUDFABRIC CONTROL PLANEIdentity · Workload Placement · Lifecycle · Observability · Policy
EXPERIENCEPixelDRemote workspaces & GPU apps
EXECUTIONCPU + GPUAI, HPC & interactive compute
DATAKVFESDistributed data & recovery
SECURITYKIVVECEvidence & protection
NETWORKConnectivityFabric & site interconnect
PRIVATE DATA CENTERDedicated racks · Enterprise sites · Qualified partner regions · Research laboratories
Architecture diagram represents integration goals and deployment layers, not a claim that every component is pre-integrated or certified in every configuration.
BUILT AROUND THE WORKLOAD
Private infrastructure for high-value computing.
AI / ML
Private AI environments
Inference, model experimentation and governed enterprise data processing.
ENGINEERING
GPU workstations
CAD, 3D, simulation, animation and accelerated application streaming through PixelD.
SCIENCE
Research and HPC
Data-intensive experiments, analysis pipelines and scientific computing infrastructure.
CLOUD / MSP
Regional compute services
Infrastructure-provider offerings for enterprises, institutions and local markets.
CONFIGURATION & DEPLOYMENT
Size it for your environment. Validate it before rollout.
CloudFabric is offered as an architecture-led solution engagement, not a published one-size-fits-all appliance specification.
Evaluate
Define workload, data, security and latency constraints. Choose a representative pilot workload and acceptance criteria.
Qualify
Measure performance, energy, data paths, recovery, network behavior, GPU experience and security controls on the selected hardware.
Operate
Plan lifecycle, monitoring, access, support boundaries and scale-out with the customer or qualified infrastructure partner.
ENGINEERING QUALIFICATION
Specifications should be proven, not imagined.
CPU / GPU models, node counts, network throughput, capacity, latency, availability and performance are defined for each proposal and verified through appropriate testing. The conceptual image is not a published technical datasheet.
COMMON QUESTIONS
Know what you are evaluating.
Is CloudFabric a fixed hardware product?
No. It is a configurable integrated-infrastructure offering. Deployment scope and final hardware depend on workload and engineering qualification.
Can it host private AI and PixelD GPU workstations?
Those are target workloads. Suitability, performance and application support are confirmed against the proposed hardware, security boundaries and network conditions.
How do KVFES and KIVVEC fit in?
KVFES provides a resilient data and recovery-oriented layer; KIVVEC provides security observability and evidence-led protection capabilities. Their exact integration is established in the pilot design.
Is the configuration shown in the rendering available to order?
The rendering illustrates a product direction, not a stock keeping unit or verified bill of materials. Contact AIOTOR to scope a real configuration and commercial proposal.
BUILD YOUR CLOUDFABRIC
Your infrastructure should be designed around your ambition.
Bring a real workload. We will help frame the architecture, pilot boundaries and measurable acceptance criteria.