ARTIFICIAL INTELLIGENCE

ROCHESTON AINA
The AI Operating System

Everything AI, already configured—frameworks, datasets, launchers, and GPU power. Beautifully engineered AI workstation in the cloud—no installs, just train and deploy.

Why AINA OS?

Unified AI workstation with curated tools, datasets, models, and workflows that just work.

  • One‑click launchers: JupyterLab, VS Code Server, MLflow UI, Gradio, Streamlit
  • GPU acceleration (CUDA/ROCm), optimized CPU math (BLAS/oneDNN)
  • Reproducible envs: conda/mamba, templates & lockfiles
  • Containers ready: Docker / Podman; dev‑to‑prod parity
  • Works on bare‑metal, VMs, and cloud; seamless data mounts
  • Polished UI, dark‑mode dashboards, and thoughtful defaults
RCAI Exclusive: Available only to Rocheston Certified AI Engineer students.
GPU‑Ready Always On
MODULE: APPS & WORKBENCHES

Build Faster

From notebooks to low‑code app builders. Prototype in minutes, demo in style. Serious horsepower, zero setup—start training in minutes, deploy in hours. Kernel-to-cloud AI/ML OS with curated tools and models that simply work.

AI Apps Included

Workbenches
JupyterLab VS Code Server MLflow Weights & Biases (agent) ClearML Neptune TensorBoard
Data Labeling
Label Studio Roboflow CVAT
App Frameworks
Gradio Streamlit Dash FastAPI Flask
Data & ETL
Pandas Polars DuckDB Dask Apache Spark Great Expectations
Orchestration
Airflow Prefect Dagster Flyte
Vector & RAG
FAISS Milvus Qdrant Chroma
Serving & Deployment
BentoML Triton Inference Server KServe Seldon Core Docker Podman
Quick Launchers Ship Fast
MODULE: FRAMEWORK ZOO

All the Tools You Love

Deep learning, NLP, vision, graphs, RL, time‑series, tabular — all preinstalled. From notebook to production in one place—Jupyter, VS Code, MLflow, Triton—ready on launch.

Frameworks & Libraries

Core DL
PyTorch TensorFlow JAX/Flax Keras ONNX Runtime OpenVINO TensorRT TVM timm
Computer Vision
OpenCV Ultralytics YOLO (v5/v8) Detectron2 MMDetection Albumentations DETR Segment Anything
NLP & LLM
Transformers SentenceTransformers spaCy NLTK Gensim Stanza LangChain LlamaIndex Haystack vLLM llama.cpp Ollama
Tabular, AutoML & Recsys
scikit‑learn LightGBM XGBoost CatBoost AutoGluon H2O AutoML RAPIDS cuDF/cuML implicit Surprise
Time‑Series, RL, Graph
Prophet darts GluonTS Stable‑Baselines3 RLlib PyG DGL
Audio & Speech
torchaudio librosa Whisper Vosk Coqui TTS
1000+ Packages Always Updated
MODULE: MODELS & DATASETS

Start with Strong Baselines

Curated, license‑aware datasets and model templates for instant experiments. The fastest path from idea to inference—beautiful, powerful, frictionless.

Ready‑to‑Use

Pretrained Models
ResNet/EfficientNet/ViT YOLOv8/DETR/Mask RCNN BERT/RoBERTa/DistilBERT Sentence‑BERT Whisper ASR CLIP Stable Diffusion Llama‑family (via vLLM/gguf)
Datasets (local samples + HF connectors)
COCO Pascal VOC ImageNet (scripts/connectors) OpenImages CIFAR‑10/100 MNIST/Fashion‑MNIST Cityscapes LibriSpeech Common Voice ESC‑50 / UrbanSound8K SQuAD AG News / IMDB / Yelp WikiText‑103 GLUE / SuperGLUE The Pile (subsets) C4 / Wikipedia
License‑aware: curated samples + official connectors (Hugging Face Datasets) for full downloads.
Local + Cloud Mounts Zero Setup
MODULE: CLOUD • EDGE • MLOPS

From Lab to Production

Pipelines, serving, monitoring, optimization — production starts here. Serious horsepower, zero setup—start training in minutes, deploy in hours.

MLOps Toolkit

Pipelines & Orchestration
Kubeflow Airflow Prefect Dagster Flyte
Serving & Optimization
Triton Inference Server KServe Seldon Core BentoML FastAPI/gRPC ONNX / TensorRT / OpenVINO bitsandbytes (quantization)
Scale & Data
Ray Dask Apache Spark Parquet Delta / Iceberg (connectors)
Monitoring & QA
Evidently AI Great Expectations Prometheus Grafana Deepchecks
Security & Supply Chain
Signed Images SBOM (Syft) Vuln Scan (Grype) Secrets (Vault)
Secure by Design Deploy Anywhere
MODULE: RCAI EXCLUSIVE

Learn by Doing

Hands‑on labs, capstones, mentor‑led challenges — all inside AINA OS. A complete AI studio in the cloud—curated, optimized, always up to date. Model-ready the moment it loads—prototype, fine-tune, and serve with confidence.

Training Inside AINA OS

Guided Labs
  • Computer Vision: detection, segmentation, quality inspection
  • NLP & LLM: RAG chatbots, summarization, semantic search
  • Tabular ML: AutoML pipelines, feature engineering, drift checks
  • Audio: speech‑to‑text, speaker ID, TTS
  • Time‑Series: forecasting, anomaly detection
Capstones & Tracks
  • FinTech, Retail, Healthcare, Cybersecurity, GenAI Apps
  • End‑to‑end MLOps: data → train → serve → monitor
Student Experience
  • One‑click environment reset & snapshots
  • Cheat sheets, curated notebooks, offline docs
  • Mentor feedback, peer code reviews, showcase gallery
Access: RCAI students only. Private distribution.
RCAI Students Active Cohorts