Microsoft Azure OpenAI deployment
Design, provisioning and deployment of Azure OpenAI Service instance and LLM models for production use, addressing Azure OpenAI specific concerns like model versioning, quotas, content filters, monitoring, security and high availability.
Your business challenges
Complex, cross cutting concerns when deploying Azure OpenAI Service for production use. Azure OpenAI Service has specific design and implementation challenges that are different from most other workloads in Azure - model versioning, quotas, content filters, monitoring and even security and high availability.
Unless addressed properly at design stage, these concerns may break production workloads and cause unexpected costs during operations.
Our Solution
Have you decided to start using Azure OpenAl Service but feel overwhelmed by deployment decisions to make and options to choose?
Azure OpenAl Service has many design areas different from most other Azure workloads and require special attention during design and deployment.
This packaged offering is designed for you to ensure production grade, sustainable deployment of Azure OpenAl Service.
Our standard delivery process:
- Fixed price engagement.
- Assistance requesting access to Azure OpenAl Service (if required).
- Design according to customer-requested models and parameters.
- Provisioning and deployment in customer tenant.
- Demonstration and BCDR consultancy session.
Engagement checklist and structure
1. Planning
- Kick-Off meeting to familiarize with engagement, agree on timeline and key design targets (Quotas, Versioning, Content filters)
- Assisted request submission for access to Azure OpenAl Service (if needed)
- Review of the list of requested models and expected performance metrics
2. Design
- Creating design architecture draft (Landing Zone design, Quotas, Versioning, Content filters, Monitoring and Alerts)
- Design session (remote Teams, ca. 1hour) to approve Design Architecture
3. Deploy
- Provision Azure OpenAl instance as part of the designed Landing Zone
- Setup monitoring and alerting for Azure OpenAl Service
- Deploy and configure requested models
4. Present & Consult
- Demonstrate deployment in Playground (remote Teams session, ca. 1 hour)
- Dedicated High Availability consultancy session with DevOps team (remote Teams, ca. 1.5 hour)-present HA options and answer questions
Your benefits and deliverables
Deliverable:
- Provisioned designed Landing Zone, including Azure OpenAI Service instance
- Deployed models requested
- Deployment demonstrated in Playground
- BCDR consultancy session for DevOps team (remote)
Benefits:
- Production ready Azure OpenAI Service deployed to your tenant
- Service specific design and delivery areas addressed, such as:
- Networking and security
- Versioning
- Quotas
- Content filters
- Monitoring and alerting
- High Availability (BCDR)
We are ready to tell you more
Why us?
Our suite of competencies in artificial intelligence, cybersecurity, and infrastructure capabilities, allows us to provide our customers with full support throughout the solution lifecycle – from design to operations.
Augmented by vendor partnerships, we ensure the design, development, and operations of sustainable GenAI solutions.
Azure OpenAI service for custom language models (LLM)
Squalio's Azure OpenAI service focuses on designing and deploying advanced Large Language Models (LLMs) tailored to your specific business needs. This service allows you to harness the power of OpenAI's cutting-edge technology within the secure and scalable Microsoft Azure environment. We ensure each model is fully optimized by expertly managing the unique challenges of the platform, including model versioning, quota management, content filtering, real-time monitoring, security, and high availability.
Questions and answers
