Data for AI
- Multimodal pipelines
- Annotation
- Synthetic data
- Lineage & versioning
- Data quality & drift
Model training
- Distributed multi-node
- Mixed precision
- Experiment tracking
- Architecture selection
- Reproducible runs
Fine-tuning
- SFT & LoRA
- Domain adaptation
- Transfer learning
- Evaluation harness
- Guardrail tuning
Inference & serving
- Model router
- Model as a service
- Quantisation & pruning
- Autoscaling endpoints
- Latency engineering
Infrastructure & silicon
The layer everything above runs on.
The platform supplies sovereign infrastructure. We are the delivery layer above it, turning capacity into governed production systems.
Sovereign cloud & data residency
Regulated data stays in-country, with residency evidence by default.
AI supercomputing & GPU capacity
Cluster build-out and distributed training, tuned for utilisation.
Foundation models
Domain adaptation of open models, gated by an evaluation harness.
Model router & model as a service
One governed endpoint, routed on cost, latency and sensitivity.
Data & analytics platform
Pipelines, vector retrieval and lakehouse patterns models can use.
Managed & secure operations
Continuous monitoring of agents, with regulator-ready reporting.
Sovereign compute in both regions, one delivery layer.
We deliver sovereign AI on infrastructure that stays in-country. The Sovereign AI Neocloud Alliance pairs Nunnari Labs with neocloud partners in each region, so regulated data never leaves its jurisdiction and frontier capability still arrives.
Delivery layer
Nunnari Labs
Model engineering, governance and forward-deployed engineers across both regions.
Australia
OrionVM
Single-tenant GPU platform on NVIDIA AI Enterprise for Australian sovereign deployments.
India
E2E Networks
Indian GPU cloud for in-country training, fine-tuning and inference.
Partnering with Equinix and OrionVM to build private AI capability for enterprises — three layers, three partners.
Layer 3 · Nunnari Labs
Strategic innovation & compliance
Built with the compliance discipline regulated industries require — ISO/IEC 42001, NAIC VAIS v1.0, model and agent engineering.
Layer 2 · OrionVM
Accelerated compute & lifecycle
Single-tenant GPU platform with NVIDIA AI Enterprise as the lifecycle manager — L40S and above, Kubernetes GPU orchestration.
Layer 1 · Equinix
The trusted fabric
Unified digital domain with low-latency interconnect between data and compute — colocation, proximity, network security.
Data as a strategic asset
Proprietary enterprise data refined inside a secure enclave, producing models competitors cannot replicate.
Private LLM deployments
Single-tenant stacks for enterprises that cannot use public inference, including micro-PoP deployments.
Edge inferencing
Industrial and embedded workloads served close to the plant, with the same governance posture.
Compliance from the start
ISO/IEC 42001 and NAIC voluntary AI safety standards applied to the pipeline, not bolted on after.
Built and trained on Indian GPU clouds.
Our research and product work in India runs on Indian infrastructure. JarvisLabs GPU capacity carries our training and fine-tuning runs, and E2E Networks anchors in-country deployment through the alliance.
Research training runs
Vision and language model training and fine-tuning for our applied research programme, on JarvisLabs GPUs.
Physical AI product development
Model development and compression for HearSight's on-device perception stack, trained in-country before deployment to the glasses.
Community and enablement
Hands-on GPU capacity for AI Tamil Nadu workshops and enablement sessions, so practitioners train on real hardware.