AI node hosting
Private RTX 5090 nodes for inference and training. Not a shared public LLM. Isolated tenancy, SOC-backed controls, and visibility when agents touch docs and files.
AI nodes
RTX 5090 AI nodes
Multi-region footprint
Isolated tenancy
Private inference paths
GPU over CPU
Inference throughput
GPUTraining and fine-tunes
GPULower latency per token
GPUCPU left for control plane
SPLIT
Why private nodes
- 01
Shared LLM tenants leak context
Off-the-shelf models run on multi-tenant stacks. Prompts, keys, and business data can sit where other customers and competitors can reach them.
- 02
Your docs stay on your systems
When agents read company documentation and file systems, that access must live on nodes you control, not a public model endpoint.
- 03
Company-wide security controls
Same access reviews, audit trails, and containment playbooks as our managed detection work. Applied to every AI path.
- 04
File change detection
Watch agent and user writes on mounted stores. Unexpected edits trigger alerts instead of going unnoticed.
- 05
Broken access control checks
Flag over-permissioned agents, open shares, and paths that should not be readable before they become an incident.
- 06
Malware and payload scanning
Scan uploads, tool outputs, and retrieved artifacts before they move further into the environment.
AI nodes in the same regions as our security operations footprint.
Regions with nodes
15
Countries with active AI hosting
On the ground
- RTX 5090 class GPUs
- Isolated tenancy
- SOC-backed access
Hosting controls
Isolated tenancy
DEFAULTEncryption at rest
AES-256Encryption in transit
TLSAccess control
IAMAudit logs
RETAINEDNetwork segmentation
VPCSOC-backed monitoring
24/7Private inference paths
NO EGRESSExample deployments
- 01
Private LLM inference
Inference · Isolation · Latency
- 02
Batch fine-tune jobs
Training · Queues · Retention
- 03
Agent tool-runtime isolation
Agents · Sandbox · Audit
Tell us capacity, tenancy, detection coverage, and regions. We return one engagement plan.