Priyanka Shah
Avanade Australia
TEMUKAN, HUBUNGKAN, TUMBUH
Reaktor Microsoft
Bergabunglah dengan Microsoft Reactor dan terlibat dengan startup dan pengembang secara langsung
Siap untuk mulai menggunakan AI? Microsoft Reactor menyediakan acara, pelatihan, dan sumber daya komunitas untuk membantu startup, wirausahawan, dan pengembang membangun bisnis mereka berikutnya pada teknologi AI. Bergabunglah dengan kami!
TEMUKAN, HUBUNGKAN, TUMBUH
Reaktor Microsoft
Bergabunglah dengan Microsoft Reactor dan terlibat dengan startup dan pengembang secara langsung
Siap untuk mulai menggunakan AI? Microsoft Reactor menyediakan acara, pelatihan, dan sumber daya komunitas untuk membantu startup, wirausahawan, dan pengembang membangun bisnis mereka berikutnya pada teknologi AI. Bergabunglah dengan kami!
Kembali
AI Factory Platform: AI Infrastructure as a service
27 Mei, 2025 | 8.00 PM - 9.00 PM (UTC) Waktu Universal Terkoordinasi
- Format:
Streaming Langsung
Topik: Menggunakan Produk AI
Bahasa: Inggris
As organizations move from AI experimentation to AI Operationalization, they are hit with several realizations around optimum Token utilization of the Azure Open AI Instances, how to scale and how many AOAI instances to maintain, calculation of chargeback for Azure AI services utilization, rate limiting, observability and monitoring. Also, for large organizations, while experimenting with AI Usecases, there is an overhead cost for creating the required infrastructure and ensuring its compliance with the internal security policies etc.
The AI Factory Platform is a scalable and secure environment designed to support the development, deployment, and management of AI solutions across our client's organization. This platform enables application developers to request approved AI services, look at shared dashboards for utilization metrics, rate limits and application chargeback costs.
There are also routing mechanisms implemented to ensure graceful failover from PTU to PAYG instances, retry with backoff of certain limited Azure Open AI deployments, priority-based routing and weight-based routing with the APIM policies. We also demonstrate how to handle instances scaling, load and traffic management via APIM for busy workloads and how to prevent throttling of Azure OPEN AI instances by chatty applications.
We essentially build an AI control tower for organizations to easily and securely scale and manage their GEN AI workloads in different environments.
Speaker
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