Deployment
Deploy AI around your requirements.
Use Bibha as a cloud service, or discuss hybrid and on-premises deployment. Our team works with you to define where your system runs, what it connects to and who operates it.
Choose where your AI runs.
Start from the option that matches your requirements. Hybrid and on-premises arrangements are defined with you for each system, based on what it needs to reach and who operates it.
Bring your requirements for data location, security and procurement to the first conversation. We work through them with you for the configuration you need.
Cloud service
Use Bibha as a cloud service. Build, deploy and monitor your system from the platform.
Hybrid
Discuss a hybrid arrangement when some parts of your system need to run in your own environment. We define with you which parts run where and how they connect.
On-premises
Discuss on-premises deployment when the system needs to run on infrastructure you control. We define the configuration and operating responsibilities with you.
Run and monitor it from the platform.
The platform covers the work of putting a system into operation and keeping it running.
Compute and inference
Manage the compute your models and AI systems use, and run inference, the step where a model produces its output, as part of your system. The operating scale is scoped for each system and its workload.
Deployment
Deploy models and AI systems and manage them from the platform. Put them to work through customer-facing channels, backend APIs or both.
Monitoring
Monitor activity and usage once the system is live. Use what you learn to decide what to change in the model, the workflow or the operating setup.
Decide who operates it.
Deployment also means deciding who does the work once the system is live. Bibha offers two ways to share that responsibility.
Co-build
Our team works alongside yours to configure, integrate and deploy the system. Who operates each part after launch is agreed as part of the engagement.
Fully managed
Bibha handles the agreed build, deployment and ongoing operation. Your team sets the business goals and reviews the outcomes. What is included is agreed for each engagement.
Questions to bring
Use these questions to prepare for a first conversation with our team. They are written for platform, security and procurement teams, and for the business owner of the workflow. Answer the ones you can; the rest can be worked through together.
Where it runs and what it uses
- Where may your data be stored and processed?
- Which data will the system use, and who owns and approves access to it?
- Does any part of the system need to run in your own environment, and why?
- Which internal policies, contracts or regulations must the deployment meet?
What it connects to
- Which systems, data sources and tools must the system reach?
- Will people use it through a customer-facing channel, will it run behind the scenes, or both?
- Which identity and access arrangements must it work with?
- Who should be able to view information, take actions and approve changes?
Who operates it
- Do you want to co-build with our team, or choose a fully managed engagement?
- Who will run the system day to day, and who responds when something needs attention?
- What volume of work do you expect, and when does it peak?
- What do you need to see in monitoring and usage reporting, and who reviews it?
How changes are approved
- Who approves changes to the model, workflow or configuration?
- How should changes be tested and reviewed before they go live?
- How will you judge whether the system is doing the job?
- Which reviews must the deployment pass, such as security, legal or procurement, and what will those reviewers ask for?
Deployment questions
Your AI system can run on Bibha as a cloud service. Hybrid and on-premises deployment are options to discuss with our team. For those, we define with you where each part of the system runs, what it connects to and who operates it. The right arrangement depends on your data, the systems involved and your operating requirements, so each configuration is defined for the system rather than assumed.
Who operates the system depends on the engagement you choose. In a co-build engagement, our team works alongside yours to configure, integrate and deploy the system, and operating responsibilities after launch are agreed with you. In a fully managed engagement, Bibha handles the agreed build, deployment and ongoing operation, while your team sets the business goals and reviews the outcomes.
Yes. You manage compute, inference and deployment from the Bibha platform, or our team manages them for you in a fully managed engagement. The operating scale is scoped for each system and its workload.
Bring your deployment requirements.
Tell us where your system may run, what it must connect to and who should operate it. Our team will work through the options with you.