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IBM · IBM watsonx Code Assistant → Custom Enterprise Code LLM · Migration

Trusted watsonx to self hosted Code LLM migrations – fixed scope & senior engineers

Yes, migrating IBM watsonx Code Assistant to a Custom Enterprise Code LLM is a well-understood project. Here is how it works: We build the private infrastructure, pipelines, and integrations – you keep 100% data

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Get your Custom plan in 2 weeks

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Powered by the 3PS Migration Engine

The lowest-cost way off IBM watsonx Code Assistant: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your IBM watsonx Code Assistant estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Custom Enterprise Code LLM, automated where it's safe
Parity validation
Side-by-side testing proves Custom Enterprise Code LLM matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
40-70%
savings vs vendor support renewals on legacy platform
4-6 months
typical project duration with 3-5 senior consultants
$120K–$450K
typical fixed-scope project budget

How we support IBM watsonx Code Assistant → Custom Enterprise Code LLM after migration

  • Fixed-scope project – no cost overruns or timeline surprises.
  • Senior platform engineers handle model training + hosting infrastructure.
  • 100% private – your Code never leaves your environment.
  • Eliminate seat-based licensing fees for proprietary software.
  • Domain-optimized models for your proprietary APIs and frameworks.
  • Post-migration: ongoing model tuning, GPU monitoring, RAG maintenance.

Strict corporate mandates against cloud SaaS Code models

Your security policy forbids sending proprietary Code to any third-party cloud. A self-hosted Code LLM keeps everything inside your firewall.

High upfront GPU costs & scarce Enterprise infrastructure

Qualified GPU instances are expensive and hard to procure. We handle procurement, provisioning, and optimization to control costs.

No internal MLOps or data science team for model maintenance

Custom LLMs need ongoing fine-tuning and monitoring. Our team takes full responsibility for model performance and infrastructure uptime.

IBM watsonx Code Assistant → Custom Enterprise Code LLM migration — your questions answered

How do you migrate watsonx Code Assistant to codellama or StarCoder 2?+

We conduct a feasibility study, then build the Custom model pipeline (StarCoder 2, Llama 3, Codellama). We handle data preparation, model training, integration with your IDE, and ongoing RAG pipeline updates.

What happens to my IBM watsonx support contract during migration?+

You keep active vendor support as long as your contract is in force, so you can migrate on your timeline with no forced cutover. If the renewal lapses, our independent third-party support covers most operational issues on the legacy platform while you finish the move (not vendor support, no vendor patches).

We have highly proprietary APIs – can the Custom model learn them?+

Yes. Unlike general-purpose SaaS models, we fine-tune on your internal frameworks, proprietary APIs, and domain-specific documentation. The model understands your exact codebase and style.

How do you handle the GPU scarcity issue?+

We source Enterprise-grade GPU instances through our procurement partners and configure for optimal cost/performance. Our fixed-scope pricing includes infrastructure provisioning, so you pay a predictable amount.

Move IBM watsonx Code Assistant to your own Enterprise Code LLM

Stop sending Code to third parties. Stop paying seat-based licensing. Get a private, Custom Code Assistant built and maintained by senior engineers. Start with a feasibility & architecture study – no commitment, just a clear plan.

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