Traditional infrastructure works well for standard applications, but AI apps come with unique challenges like managing large datasets, high computational needs, and real-time processing. As AI workloads grow more complex, legacy infrastructure struggles to keep up. Modern AI systems call for innovative solutions.
In this webinar on architecting composable AI systems, you’ll learn what sets AI systems apart from traditional infrastructure practices. Discover the modern technologies required to support AI workloads effectively. We dive into the key components of modern AI systems and explore how your design decisions can directly influence business outcomes. You'll explore essential architectural patterns, demonstrating how microservices can be effectively adapted for AI workloads. Subject matter experts shared the most important factors and best practices for designing AI systems, covering microservices patterns, infrastructure needs, and performance optimization.
Plus, Craig (Developer Educator, AI) from Cloudlfare joined us to share their insights with real-world use cases and solutions.
What to Expect:
▶️ Traditional Hosting vs AI Systems: Learn how AI infrastructure differs from traditional hosting, with a focus on specialized resources.
▶️ Key Components of Modern AI Systems: Understand the core elements of modern AI systems.
▶️ Business Implications of AI System Design Choices: Discover how your AI system design can impact costs, time-to-market, and long-term maintenance.
▶️ Design Patterns for AI Systems: Explore what design patterns are used to effectively scale and manage AI workloads.
▶️ Infrastructure Requirements: Dive into AI systems' specific computing, storage, and network needs.
▶️ Performance Optimization: Learn strategies for optimizing AI performance, including resource allocation and load balancing.
▶️ Practical Implementation Showcase: Watch a live demo of how Cloudflare Workers can help you run fast, low-latency inference tasks on pre-trained machine learning models.
Who Should Watch This:
💻 Software Developers: Build and optimize AI applications with scalable patterns.
💻 Project Managers: Learn the architectural considerations critical to AI project success.
💻 Team Leads: Guide your teams to implement best practices in AI system design.
💻 Tech Enthusiasts: Gain insights into cutting-edge AI system strategies and trends.
⌚Timestamps
0:00 Welcome and speaker introduction
5:59 AI vs Traditional Systems
10:44 Core components of AI Systems
14:12 Business considerations while building AI systems
20:04 Building blocks of modern AI systems
26:04 System patterns
30:55 Design patterns
37:15 Performance optimization strategies
43:50 Cloudflare Workers AI
46:10 Cloudflare stack
50:00 Cloudflare live demo
1:06:18 Live Q&A
1:08:16 Summing it up
Check out the example here in this repo shared by Dennis Carig from Cloudflare: https://github.com/craigsdennis/autotranscriber-r2-workers-ai
Visit Workers AI Docs: https://developers.cloudflare.com/workers-ai/
Prefer reading? Check out our AI blogs here: https://www.infracloud.io/blogs/category/ai-cloud/
Ready to Transform & Build Your AI Cloud? Elevate your org's AI & GPU cloud capabilities with tailored consulting and management services: https://www.infracloud.io/build-ai-cloud/
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