1. 1. Introduction / Case Studies
2. 2. Transitioning workloads to AWS Graviton
3. 3. Optimizing for Graviton
4. 1. 3.1. C/C++
   2. 3.2. Go
   3. 3.3. Java
   4. 3.4. JAR files
   5. 3.5. .NET
   6. 3.6. Node.JS
   7. 3.7. PHP
   8. 3.8. PHP OPcache
   9. 3.9. Python
   10. 3.10. Rust
   11. 3.11. R
   12. 3.12. Spark
   13. 3.13. AWS Lambda
5. 4. Operating Systems support
6. 5. Containers on Graviton
7. 6. Headless website testing with Chrome and Puppeteer
8. 7. Kafka
9. 8. AMIs for Graviton
10. 9. AWS Managed Services available on Graviton
11. 10. Third-party Software Vendors
12. 11. HPC (High Perf Computing)
13. 12. Build HPC software
15. Machine Learning
16. 13. PyTorch
17. 14. TensorFlow
18. 15. llama.cpp
19. 16. vLLM
20. 17. ONNX
22. Performance Runbook
23. 18. Pre-requisites and FAQ
24. 19. Introduction to Benchmarking
25. 20. System Load and Compute Headroom
26. 21. Defining your benchmark
27. 22. Configuring your load generator
28. 23. Configuring your system-under-test environment
29. 24. Debugging performance — “What part of the system is slow?”
30. 25. Debugging performance — “What part of the code is slow?”
31. 26. Debugging performance — “What part of the hardware is slow?”
32. 27. Optimizing performance
33. 28. Appendix — Additional resources
34. 29. References
36. Deep dive
37. 30. Runtime feature detection
38. 31. DPDK, SPDK, and other datapath software
39. 32. Taking advantage of Arm Advanced SIMD instructions
40. 33. Assembly Optimization Guide for Graviton Arm64 Processors
41. 34. Profiling
44. How To Resources