Powerful AI infrastructure.
Managed for your business.
Build, deploy, and scale your AI applications with infrastructure designed around your needs. BRJ Consulting helps you source and manage GPU compute, storage, networking, and the supporting environment for AI workloads—without taking on infrastructure management alone.
From your first private AI project to a dedicated GPU deployment, we help you choose the right capacity, deployment model, and level of support.
Infrastructure for your AI ambitions
GPU Compute
Access GPU capacity for inference, model fine-tuning, training, and data-intensive applications.
Dedicated AI Environments
Plan dedicated servers and GPU clusters for workloads requiring greater control and resource isolation.
Private AI Solutions
Connect AI applications to your business documents and knowledge through permission-based search and retrieval.
Managed Infrastructure
Get help with deployment, configuration, monitoring, maintenance, and ongoing technical support.
Storage & Networking
Bring together the data storage and connectivity your AI applications need.
Security & Access
Design access controls, network protections, and data handling around your business requirements.
Start with the right fit
Three ways to engage — from raw GPU capacity to a fully managed private AI solution.
AI Compute
GPU capacity for teams building and running their own AI workloads.
- —Inference and API workloads
- —Fine-tuning and experimentation
- —Teams with in-house AI engineers
Dedicated AI Cloud
A dedicated infrastructure environment configured for your applications and capacity requirements.
- —Resource isolation and control
- —Predictable, reserved capacity
- —Sensitive or regulated workloads
Managed Private AI
Infrastructure, business-data integration, and ongoing management for a complete private AI solution.
- —AI on your own documents
- —No in-house AI infrastructure team
- —One partner end to end
From idea to deployment
We assess your workloads, recommend an architecture, coordinate deployment, and define a management plan that supports your business as it grows.
Assess
We review your AI workloads, data, performance needs and security requirements.
Recommend
An architecture, capacity plan and deployment model that fit the workload.
Deploy
We coordinate hardware, location, networking, storage and configuration.
Manage
A management plan for monitoring, maintenance and support as you grow.
Common questions
How is BRJ AI Cloud priced?
We prepare custom proposals based on GPU capacity, storage, deployment location, service scope, and contract term.
Do I need my own AI team?
No. AI Compute suits teams with their own engineers; Managed Private AI covers the infrastructure, business-data integration and ongoing management for organizations without one.
How does this relate to BRJ Private AI?
BRJ AI Cloud is the infrastructure layer. BRJ Private AI is the solution on top — assistants and search over your business knowledge — and can run on BRJ AI Cloud, your cloud tenant or on-premises.
Let’s size the infrastructure for your AI.
Custom proposals based on GPU capacity, storage, deployment location, service scope, and contract term.