Reach across
the supply chain.
Smith and Server Monkey expand the search for GPUs, servers, memory, storage, and networking. Zetta² connects available options to the workload and deployment plan.
ZETTA2 / ON-PREMISES AI
Private AI that gets to work.
On-premises AI hardware.
Fully configured AI software.
Zetta², along with our strategic partners Smith & Server Monkey, have teamed up to provide NVIDIA DGX Stations and enterprise GPU infrastructure products, along side with our proprietary AI products, solutions, workflows and services, Build and run models, agents, and business workflows in your own environment.
DGX Station: one Blackwell Ultra GPU and one Grace CPU in a GB300 Desktop Superchip, with 748 GB of coherent memory inside a workstation.
DGX STATION / SCHEMATIC CUTAWAY
01
Keep control
Choose where data lives, who can use it, and which actions require approval.
02
Connect the whole system
Combine Smith's and Server Monkey's smart components sourcing and quality control with Zetta2's AI engineering and software integration.
03
Prove the value
Measure useful work, service quality, and operating cost before expanding.
A PARTNERSHIP BUILT TO DELIVER
AI ENGINEERING & SOFTWARE
HARDWARE & SUPPLY
ENTERPRISE HARDWARE & SERVICES
ACCELERATED COMPUTING PLATFORMZetta² makes AI HW + SW work.
Smith, a global independent electronics distributor, along with Server Monkey will provide sourcing, testing, and data-center services. Together, we connect hardware availability to an AI system your business can put to work, on-premise.
Reach across
Confidence at
the component level.
Smith and Server Monkey’s GPU and VRAM testing, custom burn-in, and server testing support hardware qualification. We connect those checks to system acceptance.
A system prepared
for its purpose.
Smith and Server Monkey bring system services, firmware and image-loading capabilities. Zetta² configures the model stack, data connections, and application workflow.
Support beyond
the first deployment.
Inventory visibility, spares, lifecycle planning, and recovery services support the hardware. Zetta² measures and improves the software and operating experience.
The customer advantage: a coordinated path from qualified hardware to a functioning AI workload, with availability and technical fit considered together.
BUILD + RUN LOCALLY
A stack for the work
you want to do.
Configure the hardware and software together—for open models, commercially licensed models that support local deployment, and the applications around them.
AI & deep learning
Reasoning, inference, fine-tuning, and model development.
Scientific computing
GPU-accelerated research, analysis, and numerical workloads.
Engineering simulation
Validated tools for simulation, modeling, and digital twins.
Design & visualization
Rendering and interactive workloads on graphics-capable configurations.
Each workload gets the appropriate GPU, certified application stack where required, and licensing review. DGX Station supports deskside AI; graphics and visualization requirements may call for an additional supported RTX PRO GPU or a different system configuration.
THREE WAYS TO BEGIN
Start where
your business is.
Whether you are planning a first deployment, completing a stalled build, or getting more from an existing fleet, begin with a defined result.
01 / LAUNCH
FOR A FIRST PRODUCTION WORKFLOW
Private AI Launch
Bring one high-value workflow into your environment, with the hardware, software, permissions, and user experience it needs to be useful.
- Use-case discovery and a measurable acceptance plan
- Right-sized infrastructure and model selection
- Data connections, application integration, and team handover
YOU LEAVE WITH
A tested workflow.
A clear operating plan.
A decision on what comes next.
02 / COMPLETE
FOR A DEPLOYMENT WAITING ON INFRASTRUCTURE
AI Infrastructure Ready
Connect sourcing decisions to the deployment plan. Qualify the full configuration, close component gaps, and establish a documented route to support.
- Complete bill of materials and site-readiness review
- Smith sourcing options and tested, approved substitutions
- System acceptance, provenance, and support verification
YOU LEAVE WITH
A qualified system.
A complete dependency map.
A practical deployment path.
03 / OPTIMIZE
FOR TEAMS WITH GPU CAPACITY ALREADY IN PLACE
AI Fleet Performance
Understand how your current capacity is used. Tune serving, scheduling, and operations before deciding where more hardware will help.
- Workload, utilization, and bottleneck assessment
- Model serving and resource-allocation improvements
- Monitoring, spare-parts planning, and lifecycle support
YOU LEAVE WITH
A performance baseline.
Prioritized improvements.
A capacity plan tied to demand.
THE COMPLETE PICTURE
Every layer.
Connected to the outcome.
Private AI works when business systems, data, models, and infrastructure work together. We design the connections—and the controls around them.
YOUR CONTROLLED ENVIRONMENTON-PREMISES · PRIVATE COLOCATION · APPROVED HYBRID
01
People & business workflows
Employee assistants · Service tools · Document processing
02
ZETTASHELL & workflow integration
Agent orchestration · OpenShell runtime · Human review
03
Models & private knowledge
Model serving · Approved data · Evaluation · Versioning
04
Validated infrastructure
DGX Station / GPU systems · Memory · Storage · Internal cooling
Illustrative reference architecture. Deployment boundaries, software licensing, and control requirements are agreed for each engagement.
BUILT AROUND YOUR REQUIREMENTS
NVIDIA accelerated systems and enterprise software can form the foundation. Existing infrastructure and supported alternatives are evaluated against your workload, operating model, and budget.
Explore NVIDIA AI Enterprise (opens in a new tab)FROM AVAILABILITY TO READINESS
A complete system. Down to the last part.
Zetta², in partnership with Smith and Server Monkey, connects AI hardware & infrastructure sourcing to AI engineering; bringing in GPUs, high-bandwidth memory, network fabric, storage, power, liquid-cooling and monitoring readiness— all in one AI stack.
01
Qualify the whole configuration. Check compatibility, power, thermals, firmware, software entitlements, and the support path.
02
Use Smith’s and Server Monkeys global supply-chain reach. Evaluate available systems and approved substitutions against the same acceptance criteria, with lead times and support checked before commitment.
03
Plan for the operating life. Document provenance, acceptance testing, spares, replacement processes, and refresh decisions.
More options at the component level.
One coherent plan at the system level.
BUILD THE BUSINESS CASE
Measure the work.
Understand the cost.
On-premises AI earns its place through the requirements it meets and the value it delivers. We compare options using your demand, constraints, and operating costs - providing our clients with an end-to-end AI hardware and AI software stack that drives a strong return on investment while providing both security and scalability.
Business value
Time spent per task, quality of the result, throughput, rework, and user adoption.
WHAT IMPROVES?Complete cost
Hardware, software, integration, facilities, staff, maintenance, and refresh.
WHAT DOES IT TAKE?Operating fit
Data constraints, latency, availability, utilization, and the team’s ability to run it.
WHERE DOES IT BELONG?THE DECISION METRIC
Cost per successfully completed task,
at the quality and service level your business needs.
LET’S MAKE IT CONCRETE
Bring us one workflow.
We’ll map the path.
Start with the process, the data, and the outcome you want. We’ll map the hardware, software, implementation scope, and evidence needed for a confident decision and successful pilot and/or project.
Scope Your Private AI Pilot