IBM has made a self-hosted deployment option for IBM Bob generally available. Bob is IBM’s agentic software development platform. It covers the full lifecycle: understanding code, planning work, executing changes and validating results. The new option lets enterprises run Bob on premises, in private or sovereign clouds, and in air-gapped networks.
Is it deployable today? Yes. The self-hosted option is generally available to enterprise customers. You must source, license and host a supported model yourself. IBM has not published pricing and routes buyers to a demo request.
What IBM Shipped at GA
The self-hosted deployment includes:
- Bob running in customer-managed enterprise environments.
- Core Bob capabilities: the IDE experience, BobShell, parallel tool calling, the agent harness, skills and modes.
- Self-hosted, air-gapped and hybrid model configurations.
- Bring-your-own-license (BYOL) for eligible models on IBM’s supported list.
- Integration with supported IDE and infrastructure environments.
- Optional Premium Packages for Java Modernization, IBM i and IBM Z.
The Model Layer Decides Where Inference Runs
Bob self-hosted does not bundle a model. Customers bring one from IBM’s supported list. IBM groups the list by deployment method:
| Deployment method | Who hosts the model | Supported models at GA |
|---|---|---|
| Self-hosted | Customer, on its own infrastructure | NVIDIA Nemotron, Poolside Laguna |
| Hybrid or private SaaS | External service via an approved private connectivity pattern | Claude Sonnet 5.0, Claude Opus 4.8, Gemini 3.7 Flash, OpenAI GPT 5.6 Sol |
This choice determines where code and context get processed. With a self-hosted model, code, development context and build artifacts can remain inside the customer environment.
IBM gives a concrete example. A bank could run on-premises inference for core banking applications. The same bank could route a less restricted workload to an approved external model. Developers see a consistent core Bob experience in both cases, while platform and security teams control the architecture underneath.
IBM also plans to expand the model portfolio and add multi-model routing. Treat that as roadmap, not a shipped feature.
Interactive Explainer
How Bob Self-Hosted Compares With Its Closest Competitors
| Feature | IBM Bob (self-hosted) | GitLab Duo Agent Platform Self-Hosted | Mistral Vibe for Code (Enterprise) | GitHub Copilot CLI (BYOK) |
|---|---|---|---|---|
| On-prem or private cloud | Yes | Yes, on GitLab Self-Managed | Yes, on-prem or private cloud | CLI only; core Copilot runs on GitHub.com or GHE.com |
| Air-gapped | Yes, with supported self-hosted models | Yes, with an offline license | Open-weight Devstral models suit air-gapped use | Yes, offline mode with a local model |
| Hybrid local plus external models | Yes, per workload | Yes, hybrid AI Gateway | On-prem, private cloud or Mistral Cloud | Yes, via BYOK providers |
| Models when self-hosted | NVIDIA Nemotron, Poolside Laguna | Supported list on vLLM, Bedrock or Azure OpenAI | Mistral models, fine-tuning via Forge | Any provider with tool calling and streaming |
| Developer surfaces | IDE, BobShell | GitLab UI, IDE, CLI (beta) | CLI; VS Code, JetBrains, Zed | Terminal |
| Commercial model | Enterprise, via IBM sales | Premium or Ultimate plus add-on | Enterprise, contact sales | No Copilot license needed with BYOK |
Sources: IBM, GitLab docs, Mistral Vibe, Mistral coding stack, GitHub changelog, GitHub Docs.
The differentiator is scope. GitLab and GitHub bring agents to their own DevOps platforms. Mistral pairs its agent with its own open-weight models. IBM targets modernization of long-lived estates, especially Java, IBM i and mainframe code, inside environments that cannot touch the public internet.
Key Takeaways
- IBM Bob self-hosted is GA for on-prem, sovereign cloud and air-gapped use.
- Customers bring their own model: Nemotron or Poolside Laguna for full isolation.
- Hybrid mode routes selected workloads to Claude, Gemini or GPT models.
- Premium Packages extend Bob to Java, IBM i and IBM Z modernization.
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Sana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.
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