Open Seas 25 min read
GPU Sizing for ML Workloads
Learn to calculate VRAM requirements, select the right AWS instance, and optimize costs. Includes real benchmarks and a Python sizing calculator.
#gpu
#infrastructure
#aws
Production AI
Deployment, latency, and scale.
Open Seas 30 min read
Experiment Tracking with MLflow and Langfuse
Set up experiment tracking for ML models with MLflow and LLM observability with Langfuse. Includes hyperparameter sweeps, model registry, and cost tracking.
#mlflow
#langfuse
#mlops
Deep Dive 35 min read
CI/CD for Machine Learning
Build a complete ML pipeline with GitHub Actions: data validation, model training, automated testing, and staged deployment to production.
#cicd
#github-actions
#mlops
Deep Dive 40 min read
Model Serving on AWS
Deploy ML models to production with optimized inference: torch.compile vs ONNX benchmarks, FastAPI serving patterns, and AWS deployment options.
#inference
#deployment
#optimization
Deep Dive 35 min read
ML Monitoring and Drift Detection
Monitor production ML models with data drift detection, performance tracking, and automated alerting. Includes working Python implementations.
#monitoring
#drift
#mlops
Deep Dive 30 min read
ML Security Best Practices
Secure your ML infrastructure with IAM roles, secrets management, VPC configuration, and input validation. Practical patterns for production systems.
#security
#iam
#vpc
Open Seas 20 min read
Data Models for AI Applications: Pydantic vs Python Built-ins
Compare Python's data modeling options for AI/ML applications. Learn when to use dataclasses, TypedDict, or Pydantic for API responses, embeddings metadata, and agent tool contracts.
#pydantic
#python
#api
Deep Dive 25 min read
Mamba for Predictive Maintenance: State Space Models vs Transformers
Compare Mamba's selective state space architecture against LSTM and Transformer for hard drive failure prediction. Learn when SSMs beat attention.
#mamba
#state-space-models
#predictive-maintenance
Open Seas 45 min read
Predicting Hard Drive Failures with XGBoost, LSTM, and Transformers
Build a production-ready failure prediction system using real Backblaze data. Compare traditional ML vs deep learning approaches and learn when each shines.
#xgboost
#lstm
#time-series