Full-Stack AI & Systems Roadmap
Distributed AI Systems & GPU Infrastructure
DDP, FSDP, DeepSpeed, Ray distributed compute, NVLink, and Slurm/K8s orchestrations.
2 weeks · wk 25–26Core / deep pace4 topics12 Interview Questions
Why this pace:Frontier AI models and multi-billion parameter foundation models exceed the VRAM and compute capacity of a single GPU. Scaling requires distributed communication topologies and multi-node clusters.
SEC FOCUS
GPU clusters are vulnerable to silent hardware degradation (e.g. PCIe degradation, bad HBM sectors); implement automated node health checks before launching distributed jobs.
Topics & Action Items (4)
01
Distributed Training: DDP, Tensor Parallelism & Pipeline Parallelism
5 hrs02
FSDP & DeepSpeed ZeRO Memory Optimizations
5 hrs03
GPU Interconnects: NVLink, NVSwitch, InfiniBand & NCCL
4 hrs04
Ray Framework: Ray Core, Ray Train & Ray Serve
4 hrs