TBW / AI solutions
Local AI
Run selected inference workloads near your data and users.
The business problem
Local hardware is not automatically cheaper, faster or safer; capacity and operational ownership matter.
What TBW provides
Workload assessment and sizing
Designed around your environment, requirements and operating constraints.
Workstation or server inference architecture
Designed around your environment, requirements and operating constraints.
Deployment, monitoring and update practices
Designed around your environment, requirements and operating constraints.
Architecture and workflow
- Workload
- Model and quantization
- VRAM and RAM
- Local inference
- Validation
- Operations
Architecture is selected after reviewing the actual data, identity, operations and integration boundaries. See enterprise integration →
A representative workflow
An engineer checks model size, context length and concurrent users before selecting a workstation or server class. This illustration describes a design pattern, not a deployed customer case study.
Technologies involved
Technology categories below are examples for architecture discussion, not a vendor partnership or an assertion that every tool is deployed.
Implementation methodology
- Discover requirements
- Assess data and access
- Architect and prototype
- Integrate and secure
- Validate and operate
Security and governance
Classify data; authenticate users; apply least-privilege model and tool access; review retention and residency; test prompt injection and unsafe retrieval; log meaningful decisions; require human approval for sensitive actions. The controls and assurance required depend on your environment.
Related services
Frequently asked questions
How much GPU memory is required?
It varies with model weights, quantization, context, concurrency and serving configuration. Size against a representative workload, not an unsupported universal figure.
How are access and data boundaries defined?
Start with a data inventory, named owners and role-based permissions. Test the actual flow before production and revisit access as systems change.
What is the next step?
Bring a bounded use case, constraints and existing architecture to a consultation. No deployment or result is assumed before assessment.
Plan the next architecture decision
Discuss the workload, data boundaries, integrations and operational ownership with TBW.
