Why Dedicated Instances
Standard cloud GPU instances share physical hosts with other tenants. For regulated workloads or performance-sensitive inference, dedicated instances guarantee that no other workload runs on the same physical server. You get consistent performance, hardware-level isolation, and the compliance posture that auditors require for sensitive AI processing.
No Shared Hardware
Dedicated hosts or bare-metal instances ensure your AI workload is the only tenant on the physical server. Eliminates side-channel attack vectors and noisy-neighbor performance variability.
VPC Network Isolation
Instances deploy into private subnets with no public IP addresses. Access controlled through VPN, Direct Connect, or ExpressRoute. Security groups restrict traffic to your application tier only.
Guaranteed SLA Performance
Reserved capacity means your GPU instances are available when you need them. No spot interruptions, no capacity shortages during peak demand. 99.9% uptime SLAs with financial credits for violations.
Auto-Scaling with Limits
Scale within your reserved capacity pool based on inference queue depth. Minimum and maximum instance counts prevent runaway costs while ensuring responsiveness during traffic spikes.
Dedicated Instance Architecture
Size
Capacity modeling and reservation
Isolate
VPC, subnets, and security groups
Deploy
Model serving on dedicated hosts
Scale
Auto-scaling within reserved pool
Size
Capacity modeling and reservation
Isolate
VPC, subnets, and security groups
Deploy
Model serving on dedicated hosts
Scale
Auto-scaling within reserved pool
Dedicated Cloud Architecture
Instance Families by Provider
Each cloud provider offers GPU instances optimized for different workload profiles. We match your model size, concurrency requirements, and budget to the right instance family.
AWS Dedicated Hosts. p5.48xlarge on a Dedicated Host gives you 8x H100 GPUs on hardware no other customer can access. Placement groups with cluster strategy ensure minimal network latency between multi-node deployments. Savings Plans reduce costs by up to 50% with 1- or 3-year commitments.
Azure Dedicated Hosts. ND H100 v5 series on Azure Dedicated Hosts provide physical server isolation within your subscription. Availability Zones ensure redundancy across data center buildings. Azure Reservations provide predictable pricing for committed workloads.
GCP Sole-Tenant Nodes. A3 Mega instances on sole-tenant nodes keep your GPU workloads physically separated. Committed Use Discounts of up to 57% for 1-year commitments. Custom machine types allow fine-grained CPU/memory sizing alongside GPU allocation.
Cost Management
Dedicated instances carry a premium over shared instances, but the right purchasing strategy minimizes the gap. We model your workload patterns and recommend the optimal mix of reserved, on-demand, and scheduled capacity.
A typical enterprise pattern uses reserved dedicated hosts for 80% of peak capacity, with on-demand instances for burst demand. Idle instances during off-hours can be released back to the reservation pool or used for batch processing workloads like embedding generation and document indexing.
Who This Is For
Dedicated cloud instances are the right choice for organizations that need cloud scalability without hardware sharing. Particularly relevant for HIPAA-covered entities, FedRAMP-authorized systems, PCI DSS workloads, and any environment where auditors require evidence of physical isolation.
Contact us at ben@oakenai.tech