Training
Distributed training that just works.
Spin up multi-node GPU clusters with a single API call. Automatic checkpointing, gradient synchronisation, and preemption recovery. Supports DeepSpeed, FSDP, and Megatron out of the box.
- A100, H100, TPU v5, and Trainium support
- Automatic hyperparameter search (BOHB, Optuna)
- Live tensorboard-style dashboards
- Spot instance recovery with zero data loss
Deployment
Ship a model in one command.
Zero-config global inference. Deploy any framework (PyTorch, TensorFlow, JAX, ONNX, TensorRT) to 14 regions with automatic autoscaling, canary rollouts, and traffic splits.
- Sub-40ms p99 latency at global scale
- Scale-to-zero for cost efficiency
- A/B testing and shadow deployments
- Quantization & pruning built in
Observability
See what your models see.
Detect drift, monitor cost per prediction, and diagnose regressions in seconds — not sprints. Auto-generated evals and continuous testing pipelines keep every production model honest.
- Feature & prediction drift detection
- Cost attribution per team, model, endpoint
- Custom evaluators & guardrails
- PagerDuty, Slack, and OpsGenie integrations
Team & Governance
Built for teams that ship in regulated environments.
SOC 2 Type II, HIPAA-ready, and GDPR-compliant. Fine-grained RBAC, immutable audit trails, and versioned model registries so you can prove exactly which model made exactly which decision.
- Row-level access control & SSO (SAML, SCIM)
- Immutable audit logs
- Model card auto-generation
- Private VPC deployment option
$ technovaa audit --model vision-v4
✓ SOC 2 controls verified
✓ Access logs signed (SHA-256)
✓ Model card generated
→ Compliance report → s3://audit/2025-q1