Unlock the Secrets of AI Systems Performance Engineering!
Are you ready to dive deep into optimizing modern AI workloads? My upcoming O’Reilly book offers a hands-on approach for AI/ML engineers, researchers, and systems teams. Here’s what you’ll learn:
- GPU Optimization: Master profiling and reduce bottlenecks using Nsight and PyTorch.
- Scalable Inference Techniques: Utilize advanced tools like vLLM and TensorRT for high-throughput serving.
- Cost-Effective Strategies: Engineer performance-per-watt and optimize for budget-friendly scaling.
This book includes:
- 200+ Performance Checklist: Covering everything from system architecture to CUDA tuning.
- Real-World Case Studies: Apply empirical methodologies that translate theory into practice.
Chris Fregly, an industry leader with experience at Netflix and AWS, brings you this essential guide.
🚀 Ready to elevate your AI performance game? Fill out the interest form and get notified when the book releases in November 2025! 📅 Share this with your network to spark conversations about improving AI systems!
