The first operating system where the kernel itself understands machine learning.
Faster training. Lower energy costs. Quantum-secure models. Zero code changes.
Zernel's sched_ext scheduler detects five ML workload phases in real time and applies different kernel policies to each. No code changes needed.
Clean nvidia-smi replacement. Real-time process viewer, memory tracking, GPU locking, health checks.
zernel gpu top zernel gpu kill 0
Automatic metric extraction from training output. SQLite-backed, zero config, ZQL queries.
zernel run train.py zernel exp compare a b
Prove your hardware performance. GPU TFLOPS, memory bandwidth, DataLoader throughput, ResNet-50.
zernel bench all zernel bench e2e
One command to diagnose why training is slow. GPU, CPU, memory, I/O analysis with fix suggestions.
zernel debug why-slow zernel debug oom
Deploy to local vLLM, Docker container, or AWS SageMaker. Multi-GPU inference with quantization.
zernel serve start ./model
Quantum-resistant encryption and signatures for model weights. AES-256-GCM + ML-KEM compatible.
zernel pqc sign ./model zernel pqc encrypt
GPU fleet dashboard, cost attribution per team, idle detection, capacity planning.
zernel fleet status zernel fleet costs
One command for local, SSH multi-node, or Kubernetes PyTorchJob. Automatic NCCL configuration.
zernel job submit --target ssh --nodes 4
SOC 2 and HIPAA compliance reports. Immutable audit trail, data lineage, model provenance.
zernel audit report --standard soc2
| Stock Ubuntu | Zernel | |
|---|---|---|
| CPU Scheduler | CFS (generic) | sched_ext with 5 ML phase types |
| GPU Observability | nvidia-smi (poll-based) | 5 eBPF probes (real-time, zero overhead) |
| Power Management | Static limits | Phase-aware dynamic clocks (10-20% savings) |
| Model Security | Plaintext, RSA keys | PQC encryption + quantum-resistant signatures |
| Setup Time | Days (drivers, CUDA, frameworks) | Minutes (pre-installed, pre-validated) |
| Experiment Tracking | Install MLflow separately | Built-in, zero config |
| Debugging | nvidia-smi + guessing | zernel debug why-slow (automated) |
| Cost Tracking | Custom scripts | zernel fleet costs (built-in) |
| Compliance | Manual audit | zernel audit report (one command) |
Bootable ISO — install on bare metal or VM
Server: headless, max GPU memory | Desktop: GNOME + GPU dashboard
Both include: CUDA, PyTorch, JAX, vLLM, Ollama, 50+ Zernel tools
PyTorch + CUDA
JAX + CUDA
TensorFlow
vLLM
Transformers
PEFT, TRL, bitsandbytes
DeepSpeed
FairScale
ColossalAI
JupyterLab
TensorBoard
W&B, MLflow, Gradio
LangChain
ChromaDB
FAISS-GPU
Ollama
Llama 3.1 8B
(works offline)