SOLUTIONS
GPU infrastructure
for every environment.
Purpose-built solutions for AI/ML training, edge inference, sovereign cloud, and high-performance computing — all on bare metal, zero virtualization overhead.
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
Bare Metal
PerformanceDirect hardware access to NVIDIA H100 and A100 GPUs eliminates virtualization overhead. Achieve maximum computational throughput for large language models, computer vision, and deep learning workloads.
23% FASTER THAN VIRTUALIZED EQUIVALENTS →
Kubernetes clusters deploy in under 60 seconds with pre-configured NVIDIA GPU Operator and MLOps toolchain. Integrated container registry and model versioning for production AI workflows.
60-SECOND CLUSTER DEPLOYMENT →Rapid
Deployment
Enterprise
SecuritySOC 2 Type II and ISO 27001 compliance with encryption at rest and in transit. Role-based access controls, audit logging, and integration with existing identity management systems.
SOC 2 TYPE II · ISO 27001 · FEDRAMP →
Per-second billing with no hidden fees or egress charges. Predictable cost structure enables accurate ROI calculations for enterprise AI initiatives and budget planning.
PER-SECOND BILLING · NO EGRESS FEES →Transparent
Pricing
EDGE COMPUTING INFRASTRUCTURE
Ultra-Low LatencySub-10ms processing latency for real-time applications. Deploy GPU compute at network edge for autonomous vehicles, industrial IoT, and augmented reality.Unified OperationsSingle management plane across edge and cloud environments. Consistent deployment, monitoring, and security policies from central data centers to remote edge.Autonomous OperationSelf-healing edge platforms operate independently during connectivity disruptions. Local processing with automated sync when connectivity is restored.Security by DesignProcess-level isolation and encryption for sensitive edge workloads. Full support for air-gapped deployments and data sovereignty requirements.
GPU CLOUD PLATFORM
Dedicated ResourcesDedicated GPU clusters with guaranteed resource allocation. No noisy neighbors. No performance degradation. Reserved capacity for predictable workloads.Flexible ProcurementEnterprise contracts with volume discounts and committed use pricing. On-demand scaling with per-second billing granularity for variable workloads.Global AvailabilityGPU resources across 12 global regions with multi-zone redundancy. Automated failover and disaster recovery with RPO less than 15 minutes.Enterprise IntegrationNative integration with DevOps toolchains. Terraform providers, Kubernetes operators, and APIs for automated infrastructure provisioning.
# Deploy edge GPU cluster with air-gap
$ qbo create cluster –type edge –gpus 4 –airgap
✓ Edge cluster “field-ops-01” created
✓ 4x NVIDIA A100 allocated
✓ Air-gap mode: no external routes
✓ Latency: 3.2ms p99
# Time elapsed: 52s
Find your solution.
Our solutions architects will design the optimal GPU infrastructure for your specific workload — on-prem, edge, or cloud.