UNITED RESOURCE
Heterogeneous resources into a single pool
Unify management of GPU, CPU, NPU, and storage and allocate resources optimally to each workload.
Products
NUBISON Kubernetes
An era when dozens of AI models run simultaneously. NUBISON Kubernetes unifies GPU, NPU, CPU, and Storage
on a single control plane, predicts demand and scales ahead of it, and runs AI services without interruption.
In the AX era,
AI infrastructure determines competitiveness
If infrastructure can't keep pace with AI, the value in the field disappears too.
Fragmented
Fragmented management of heterogeneous resources
GPU, CPU, NPU, and storage are managed separately, reducing asset utilization efficiency.
United Resource
Unify management of CPU, GPU, and NPU on a single platform
Downtime
Risk of service downtime
Model deployments, patches, and incident response repeatedly halt services, undermining operational continuity.
Non-Stop Operation
Guarantee service continuity through non-stop operations
Unpredictable
Unpredictable AI workloads
Training and inference workloads swing rapidly — reactive operations alone can't respond reliably.
Smart Scaling
Predict demand and scale proactively before issues arise
NUBISON Kubernetes provides an integrated control plane for AI infrastructure operations. An on-premises AI infrastructure optimized for enterprise environments — resources become more efficient, services more reliable, and operations simpler.
The decisive difference
NUBISON Kubernetes makes
GPU INTELLIGENCE
Turn GPUs into flexible shared resources
Safely partition and share GPUs, allocate dynamically by priority, and reclaim idle resources instantly.
SMART SCALING
Predict AI demand and scale first
Instead of reacting after issues arise, prepare before they do — this is Predictive Kubernetes.
NON-STOP OPERATION
Quadruple non-stop operations for AI services
A highly available architecture that keeps services running through deployments, incidents, and patches.
ENTERPRISE PRODUCT
13 components delivered as one product
Version compatibility, dependencies, and operating standards are guaranteed by a single vendor — no more assembly and validation effort.
OPERATIONAL KNOW-HOW
Field-proven on-premises operations know-how
Operational experience and automation assets validated across 100+ industrial AI projects are built into the product.
Resource efficiency, service stability, and operations productivity
— visible results across the board
2.4×
AI workload throughput
Up to 2.4× on the same GPU infrastructure through partitioned sharing and proactive scheduling
70%
Operations effort
Cut with an automated Day-2 operations framework
99.95%
Service availability target
Highly available control plane with self-healing
30 sec
Average incident recovery time
Automatic detection and rescheduling of Pod/node failures
GPU Utilization
Same GPUs, up to 2.4× more AI workload
Reclaim the GPUs that sat idle under fixed allocation through partitioning, sharing, and preemption.
Don't respond after problems arise —
prepare before they do
Use real-time metrics to predict demand and scale ahead. A quadruple non-stop framework keeps AI services running through deployments, incidents, and patches.
- 01Observe
Observe demand
Collect Pod, Node, GPU metrics, model QPS, and queue length in real time.
- 02Predict
Predict demand
Forecast resource demand over the next 15–60 minutes based on time-series patterns.
- 03Scale
Proactive scaling
Combine HPA, VPA, and Cluster Autoscaler to scale vertically and horizontally in advance.
Predictive proactive scalingDemand · model QPS
Actual demandPredicted demand (confidence interval)Reserved capacity
The quadruple non-stop operations framework
for AI services
Rolling Update
Non-stop rolling updates
Roll out new model versions one Pod at a time and instantly roll back if a problem occurs.
0 secDeployment downtime
Self-Healing
Self-healing
Automatically detect Pod/node failures and reschedule to healthy nodes instantly.
< 30 secAverage recovery time
HA Control Plane
Highly available control plane
Redundant master nodes and distributed etcd remove single points of failure (SPOF).
99.95%Availability target
Traffic Mesh
Safe traffic switching
Canary and Blue-Green deployments control traffic ratios between old and new versions.
CanarySafe model validation
One cluster, dozens of AI services,
complete operational independence
A wide range of AI services run reliably in isolation on a single Kubernetes cluster.
AI Services LayerSimPlatform AI services
SIM-QualitySIM-PhyDiagnoSIM-RCASIM-Sports Insight OpsOmni AI Maker
Control PlanePer-service operational independence
NUBISON Kubernetes
IsolationNamespace-based tenant isolation
QuotaPer-model resource quotas & priorities
SecurityRBAC and network policy-based security
SLOPer-service SLOs / independent metric tracking
Physical InfrastructureOn-premises
GPU nodes
NPU nodes
CPU nodes
Storage
Competitiveness in industrial AI starts with
operating environment and know-how
In industrial AI, data sovereignty, OT equipment integration, and predictable operating costs are essential. Compare with managed cloud Kubernetes.
100+
Operations experience validated across industrial AI projects — baked into the product
Installation, Day-2 operations, failure recovery, and training — the automation assets used in the field are included by default.
Day-0
Installation automation
Standard node images · IaC-based one-day setup
Day-2
Operations dashboard
Unified monitoring of GPU, model, and node status
Security
Security baseline
RBAC, image scanning, and network policies built in
Recovery
Failure recovery framework
Field-validated RCA runbook included
Backup · DR
Backup & DR standard
Automated etcd/PV snapshots and cross-region replication
Training
Operations training
Tailored training programs for administrators and developers
Expected Adoption Impact
When infrastructure keeps pace with AI, costs shrink, services speed up, and the field never stops.
Reduce CAPEX
Delay GPU expansion timing to reduce facility investment costs.
Accelerate AI Service Launch
Bring AI services to market faster with a validated platform and automation.
Improve Yield & Uptime
Minimize downtime for field AI services to boost yield and uptime.