Sovereign Factory
Agentic Partner delivers NVIDIA-powered on-prem (on-premises) AI (Artificial Intelligence) assistants and industry laboratories on DGX Spark (desktop AI supercomputer).
Customers run private data analytics and model training locally—mining, geology, safety, biomedicine, and SMEs (small and medium-sized enterprises)—then we scale the same pipeline to NVIDIA cloud production.
No cluster CAPEX (capital expenditure) to start.
Technical details
Runtime
NVIDIA DGX Spark (GB10 Grace Blackwell Superchip, 128 GB (gigabytes) coherent unified memory, up to 1 PFLOP (petaflop) FP4 (4-bit floating point)).
Workloads
Workloads run on CUDA (Compute Unified Device Architecture) with DGX OS (operating system) and the NVIDIA AI software stack (PyTorch, TensorRT, and serving compatible with NIM (NVIDIA Inference Microservices)).
Data
Data stays on-prem during the lab; validated containers and models promote to NVIDIA DGX Cloud or other NVIDIA-accelerated infrastructure for production.
Networking and power
ConnectX-7 (NVIDIA high-speed networking) for optional dual-Spark clustering. Power ~240 W (watts)—desk lab, not a data center.
NVIDIA stack on DGX Spark
The Spark lab runs NVIDIA AI Enterprise software. These are the pieces we stand up with customers, and what each one is for in the business.
NVIDIA TAO (Train, Adapt, Optimize)
Adapt NVIDIA pretrained vision models to your cameras and classes—safety gear, vehicles, drill-core photos—without a research team. Models export into DeepStream and TensorRT.
NVIDIA DeepStream
Many live cameras on one Spark: detect, track, clip evidence, and raise alerts on site. The video layer for plant, yard, and mine safety systems.
NVIDIA NIM
Packaged LLM (large language model) and VLM (vision-language model) microservices on-prem. Assistants and apps call a stable endpoint; weights stay on site.
TensorRT and TensorRT-LLM
Compile vision and language models so inference is fast enough for a live plant or an assistant—not an overnight batch job.
NVIDIA Triton Inference Server
One serving layer for many models—vision, language, ranking—behind a single API (application programming interface). Operations keeps one endpoint instead of a stack per model.
NVIDIA RAPIDS
GPU (graphics processing unit) data science on large tables: geology, sensors, plant historians. Joins, filters, and training in minutes instead of overnight CPU (central processing unit) jobs.
NVIDIA Holoscan
Real-time pipelines from cameras and sensors into AI, for industrial and medical devices that cannot wait on a cloud round-trip.
MONAI (Medical Open Network for AI)
Medical imaging models for the biomedicine lab: segment, classify, and assist on private clinical data that must stay on-prem.
Capabilities
- Local LLM (large language model) / VLM (vision-language model) inference (up to ~200B-class)
- Fine-tune (~70B-class)
- RAG (retrieval-augmented generation) over private documents
- GIS (geographic information system) / sensor analytics
- Computer-vision agents
Use cases
Where Sovereign Factory runs: live vision, agents, analytics, and training on private, often on-site data — then the same pipeline to the cloud when it is proven.
Mining and geology — first vertical
01
Prospectivity mapping
Train models on geology, geochemistry, geophysics, and structure — including VMS (volcanogenic massive sulfide) / IOCG (iron oxide copper-gold) class prospectivity work.
02
Drill-core intelligence
Computer vision on core photos; NLP (natural language processing) on historical logs; geochemical prediction. A Spark lab lets mid-tier and junior teams try this without a GPU cluster.
03
Resource & geomet models
Iterate block models and grade-control on-prem. Reserve data stays on site while teams fine-tune and validate.
04
Geohazards & water
Slope, tailings, seismicity, and water-balance assistants that fuse sensors with reports. Private inference next to the operation.
05
Mine safety monitors
Vision for PPE (personal protective equipment), restricted zones, fatigue, vehicle-pedestrian risk. Always-on local agents; only proven alerts escalate.
Same lab pattern for other industries
Wherever CAPEX, privacy, or latency blocks a cluster, Agentic Partner runs local analytics, live vision, and training, then scales what works to the cloud.
Industrial safety
Always-on vision agents for plants, yards, and construction: PPE, lockout/tagout, spill and fire cues, permit-to-work.
Biomedicine
Private assistants on clinical, imaging, and lab data. Fine-tune locally; publish only the validated pipeline.
Homes and SMEs
On-prem copilots for documents and operations. Local-language agents for customers who cannot buy a GPU rack.
Shared NVIDIA lab
A miner, clinic, or factory books a lab. Leaves with a go/no-go and a cloud scale-up plan delivered by Agentic Partner.