DGX Spark
A compact Grace Blackwell system for local model development and deployment. Unified memory capacity must be shared with the operating system.
Our F6 pilot platform · workload-specific sizingOfficial product details ↗← Platform overviewYOUR BUSINESS. YOUR AI. YOUR INFRASTRUCTURE.
ILLUSTRATIVE ARCHITECTURENOT LIVE TELEMETRY
WHAT WE HELP YOU BUILD
Four routes to local compute.
Candidate platforms—not a performance ranking. We size each system against model memory, concurrency, software support, power, and total cost.
RTX workstation
A configurable desktop built around a GPU such as GeForce RTX 5090. Choose VRAM, cooling, power, and expansion around the workload.
CUDA ecosystem · discrete GPU memory limitsOfficial product details ↗Ryzen AI Max system
Compact systems based on processors such as Ryzen AI Max+ 395 offer another route to local AI. Validate the exact model and runtime combination.
Candidate platform · compatibility evaluation requiredOfficial software & platform details ↗Mac Studio
An Apple silicon desktop with unified memory. Plan around compatible macOS model runtimes and the selected memory configuration.
Candidate platform · not a CUDA deploymentOfficial product details ↗Hardware and model availability change. AMD and Apple options are evaluation candidates; inclusion does not mean an INFRARENCE production configuration has been validated. No vendor affiliation is implied.
01 / THE PLATFORM · BUILT FOR SMBsEnterprise-grade ambition.
Enterprise-grade ambition.
Small-business practicality.
Infrastructure you own.
We help small and medium-sized businesses deploy practical AI on their own NVIDIA DGX Spark or RTX-powered systems—combining hardware, optimized models, and business workflows with measurable results.
Your hardware.
Your business data.
You retain ownership of the machines and business records. We define where data is processed and which external systems may connect.
A working stack.
Support around it.
Hardware sizing, installation, model optimization, workflow integration, training support, pilot sandboxes, and ongoing support scoped to your deployment.
Completed work.
Demonstrated value.
Track cost per accepted task, time saved, output quality, human review effort, and payback using your own business baseline.
Ownership gives you control over deployment and capacity. Lower costs and data sovereignty depend on the complete configuration, connected services, operating practices, and measured workload—not hardware ownership alone.