Expert Modules
Deep-dive technical modules covering system architecture, performance analysis, and AI infrastructure.
Advanced GPU Architecture for ML
expertDeep dive into modern GPU architectures optimized for machine learning, from latest datacenter GPUs to next-generation designs
AI Hardware Simulation & Modeling
expertDevelop high-fidelity simulators and performance models for evaluating next-generation AI accelerator architectures
Cluster-Level Thinking — Scheduling, Placement, Isolation
expertSRE and platform engineering for ML training/serving clusters: resource allocation, gang scheduling, and system-level optimization
Cluster-Level Thinking — Scheduling, Placement, Isolation
expertSRE and platform engineering for ML training/serving clusters: resource allocation, gang scheduling, and system-level optimization
Deep Learning ASIC Architecture
expertMaster the design principles of custom AI accelerators, from tensor processing units to emerging neuromorphic architectures
Interconnect Fabrics for AI Systems
expertDesign and optimization of high-performance interconnects for distributed AI training and inference systems
ML Systems in Datacenters — LLM Inference Realities
expertTTFT vs tokens/s optimization, batching strategies, KV-cache memory management, PagedAttention/vLLM impact, and practical serving tactics
Modeling & Simulation
expertStrategic simulation methodology: choose the right simulation paradigm and fidelity level; ask targeted questions, validate against reality
Multi-Node AI Training Systems
expertMaster the design and optimization of distributed AI training systems across hundreds of nodes and GPUs
Multimodal Foundation Models: Architecture & System Design
expertComprehensive analysis of multimodal foundation model architectures, training methodologies, and system engineering challenges for vision-language AI systems
Power & Thermal Awareness — From Activity to perf/W
expertTranslate simulated activity into power/thermal behavior and communicate perf/W trade-offs credibly using McPAT and HotSpot
PPA Analysis Methodologies
expertMaster Performance, Power, and Area analysis techniques for evaluating hardware design trade-offs in AI accelerators
System & Microarchitecture Deep Dive
expertEnd-to-end reasoning about compute + data pathologies with evidence-based fixes for CPU pipelines, GPU occupancy, and memory hierarchies
Tail Latency & Scale-Out — p95/p99/p99.9 Engineering
expertDesign for tails, not means: queueing theory, amplification effects, and tail-tolerant distributed system patterns
Tools & Methods: Top-Down, CDRD, and Roofline
expertTurn counters and simple models into clear diagnoses and action items using systematic performance analysis methodologies
Transformer Hardware Optimization
expertDeep dive into optimizing hardware architectures for transformer-based models, from attention mechanisms to large language model inference
Validation & Measurement — Trust, But Verify
expertCross-validate models with real counters, quantify uncertainty, and communicate limits in performance analysis