01 / Choose the serving architecture
Choose the serving architecture
Assess model size, expected concurrency, latency needs, and available infrastructure. Compare deployment options against actual workloads.
Plan and implement language-model serving within the infrastructure and access boundaries your organization requires. Balance model capability with security, capacity, maintenance, and operating cost.
AI Transformation / Specialist service
Plan and implement language-model serving within the infrastructure and access boundaries your organization requires. Balance model capability with security, capacity, maintenance, and operating cost.
Discuss your project01 / Choose the serving architecture
Assess model size, expected concurrency, latency needs, and available infrastructure. Compare deployment options against actual workloads.
02 / Control access and data flow
Define authentication, network boundaries, logging, retention, and the handling of prompts and outputs across the application.
03 / Prepare for ongoing operation
Set up health checks, capacity monitoring, version management, and recovery procedures. Make operating responsibilities explicit.
04 / Your project
Discuss private llm deployments in the context of your current systems, your team, and the outcome you need. Define a focused starting point before implementation.
Talk to DEQXShape the engagement around the work you need. Specific deliverables, access, responsibilities, and acceptance criteria are agreed during discovery.
A staged approach gives your team clear review points. Timing and responsibilities depend on the scope and the readiness of the systems involved.
01
Agree the workflow, users, data sources, and the evidence needed to judge whether the approach is useful.
02
Evaluate representative examples, failure cases, and human review needs before expanding the scope.
03
Connect the agreed capability to the application and its permitted tools, with access and exception handling defined.
04
Document evaluation, monitoring, ownership, and the improvement cycle needed after release.
Before we begin
A few questions to help frame your private llm deployments project.
No. Hosting location is one part of the design. Identity, permissions, data handling, application security, patching, and operational processes also need to be addressed.
We begin with your current situation and the outcome you need. For this service, the discussion covers choose the serving architecture, control access and data flow, prepare for ongoing operation. Deliverables, dependencies, review points, and commercial terms are agreed before implementation.
Handover, maintenance, and ongoing improvement are discussed as part of the engagement. The arrangement depends on your internal team, the systems involved, and the operating responsibilities you want DEQX to support.
Let’s talk about your project
Tell us what you want to improve, what you have today, and the constraints that matter. We’ll help define a practical starting point.
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