AGENTIC INFRASTRUCTURE

HYPERMACHINE

AGENTIC HYPERVISORS FOR THE 21ST CENTURY

Autonomous virtual machine orchestration powered by AI agents. Self-healing infrastructure that adapts to workload demands in real-time.

HYPERVISOR CAPABILITIES

AGENTIC ORCHESTRATION

AI agents autonomously manage VM lifecycle, resource allocation, and workload placement.

SELF-HEALING

Automatic failure detection, live migration, and recovery without human intervention.

PREDICTIVE SCALING

ML-driven capacity planning that provisions resources before demand spikes.

SECURE ISOLATION

Hardware-backed VM isolation with confidential computing support.

GPU PASSTHROUGH

Direct GPU access for AI/ML workloads with dynamic device assignment.

DISTRIBUTED CONTROL

Multi-node clusters with consensus-based coordination and no single point of failure.

ARCHITECTURE LAYERS

AGENTS

Orchestration Agent
Scaling Agent
Security Agent
Monitoring Agent

CONTROL PLANE

Cluster Manager
Scheduler
API Gateway
State Store

HYPERVISOR

KVM / QEMU
Device Emulation
Memory Manager
vCPU Scheduler

HARDWARE

CPU Virtualization
IOMMU / VT-d
SR-IOV NICs
GPU Passthrough

USAGE

terminal

# Initialize a HyperMachine cluster
hypermachine init --nodes 3 --backend kvm

# Deploy a VM from a declarative spec
hypermachine deploy --spec inference-server.yaml
# ✓ Provisioned: 8 vCPUs, 32GB RAM, 1x A100 passthrough
# ✓ Network: 10.0.1.42 (vlan: ai-workloads)
# ✓ Storage: 500GB NVMe (thin-provisioned)
# ✓ VM 'inference-01' running in 4.2s

# List running VMs
hypermachine list
# NAME            vCPU  RAM    GPU        STATUS    UPTIME
# inference-01    8     32GB   A100       running   2h 15m
# training-node   16    128GB  4x H100    running   18h 42m
# dev-sandbox     4     16GB   —          running   45m

# Live migrate a VM to another node
hypermachine migrate inference-01 --target node-02 --live

INFRASTRUCTURE THAT THINKS

Agentic hypervisors that manage themselves. Built for the age of autonomous systems.