Platform & Infrastructure
Running AI at scale — scheduling, MLOps, observability, security, cost engineering, and physical data center design.
Resource Scheduling
Cluster Managerscoming soon
Slurm (HPC/training), Kubernetes (cloud-native/serving), and hybrid approaches.
GPU Schedulingcoming soon
Gang scheduling, bin packing, preemption policies, priority queues.
GPU Virtualizationcoming soon
MIG (hardware partitioning), MPS (time-sharing), time-slicing — when to use each.
Dynamic Allocationcoming soon
Elastically resizing RL resources, auto-scaling inference, spot instance integration.
Model Lifecycle & MLOps
Experiment Trackingcoming soon
W&B, MLflow, Neptune — logging hyperparameters, metrics, artifacts, comparing runs.
Model Registrycoming soon
Versioned weights, metadata, promotion workflows (staging → canary → production).
CI/CD for Modelscoming soon
Automated eval pipelines, regression tests, format conversion (HuggingFace → TensorRT-LLM).
Prompt Managementcoming soon
Versioning prompt templates, A/B testing prompts, prompt-level analytics.
Evaluation & Quality
Offline Evaluationcoming soon
lm-evaluation-harness, custom benchmarks, multi-task evaluation (MMLU, HumanEval).
LLM-as-Judgecoming soon
Using a stronger model to evaluate a weaker one — prompt design, calibration, limitations.
Human Evaluationcoming soon
Annotation platform design, inter-annotator agreement, preference data collection.
Safety Evaluationcoming soon
Red-teaming infrastructure, toxicity/bias benchmarks, refusal rate testing.
Online Evaluationcoming soon
Canary deployments, shadow mode, quality monitoring dashboards.
Serving Infrastructure
API Gatewaycoming soon
Rate limiting, authentication, request routing by model/priority, logging.
Load Balancing for LLMscoming soon
Variable request duration, streaming connections, KV-cache-aware routing.
Caching Layerscoming soon
Exact prompt cache, semantic cache, KV cache sharing across users.
Multi-Model Hostingcoming soon
Model loading/unloading policies, cold-start mitigation, memory management.
Streaming & SSEcoming soon
Delivering tokens as generated, backpressure handling, connection management.
Observability & Reliability
Metricscoming soon
GPU utilization, memory, queue depth, TTFT/TPOT percentiles, cost per token — instrumentation.
Distributed Tracingcoming soon
Following a request: gateway → scheduler → engine → response — finding where latency is spent.
Alertingcoming soon
SLO-based alerts (P99 TTFT > threshold), anomaly detection for quality degradation.
Graceful Degradationcoming soon
Request retry, load shedding, fallback to smaller models when GPUs fail.
Capacity Planningcoming soon
Predicting GPU needs from traffic forecasts, provisioning buffers for spikes.
Security & Multi-Tenancy
GPU Isolationcoming soon
MIG partitions, namespace-level quotas, preventing side-channel leakage between tenants.
Model Access Controlcoming soon
API key management, usage quotas, billing per tenant.
Guardrail Infrastructurecoming soon
Inline toxicity/PII classifiers, latency budget for safety checks.
Confidential Computingcoming soon
TEE for AI — protecting model weights and user data from infrastructure operators.
Compliancecoming soon
Audit logging, data residency, model lineage tracking for regulatory requirements.
Cost Engineering
GPU Cloud Economicscoming soon
On-demand vs reserved vs spot across AWS, GCP, Azure, CoreWeave — cost per GPU-hour by generation.
TCO Modelingcoming soon
Hardware, power, cooling, networking, staff, amortization — owning vs renting.
Optimization Leverscoming soon
Quantization, batching, caching, right-sizing, spot instances — reducing cost without losing quality.
Demand Forecastingcoming soon
Predicting token volume growth, seasonal patterns, GPU capacity provisioning.
Carbon & Energy Awarenesscoming soon
PUE, GPU power consumption, renewable sourcing, carbon-aware scheduling.
Physical Data Center
Power Deliverycoming soon
Per-GPU power (300W-1000W+), rack density (30-100+ kW), facility constraints.
Cooling Systemscoming soon
Air cooling limits, direct liquid cooling, immersion cooling, rear-door heat exchangers.
Physical Topologycoming soon
Cable management for NVLink vs InfiniBand, rack layout, maximizing bisection bandwidth.
Facility Planningcoming soon
Lead times for power/cooling upgrades, site selection, renewable energy, climate for free cooling.