GenAI-in-a-Box for Private Enterprise AI Deployment

Overview

GenAI-in-a-Box is Accion Labs' configurable private AI environment, deployed inside your data center or approved sovereign boundary. It combines enterprise GPU infrastructure from Dell and Lenovo, Diamanti's Kubernetes-native orchestration, and Accion's secure AI software stack: Semantic Engineering, reusable agents and accelerators, integration, and governance. Diamanti improves workload placement and resource utilization, so organizations run more AI workloads efficiently with predictable performance. Accion architects, grounds, integrates, and engineers the environment around your priority use cases, with sensitive data held inside the approved boundary during normal operation.

The Challenge

Enterprises need greater control over AI when workloads involve regulated data, intellectual property, data-sovereignty requirements, or high-volume inference. Assembling a private capability from separate infrastructure, models, security tools, and agent frameworks creates its own complexity: GPU capacity sits underused, bottlenecks constrain throughput, and pilots stay disconnected from enterprise context. Organizations need an integrated environment that moves safely from experimentation to production while preserving model choice, performance control, governance, and workload economics.

What We Deliver

Workload-sized private AI foundation. Enterprise-grade GPU infrastructure from Dell and Lenovo, sized to your workloads.
Orchestration and data plane. Diamanti provides Kubernetes-native orchestration that optimizes workload placement, storage, networking, and compute utilization across development and production.
One configured environment. Servers, storage, networking, security, monitoring, and the selected AI runtime are configured together, with NVIDIA AI software and frameworks incorporated where they fit the target architecture.
Secure GenAI Playground. A controlled space for experimentation, with an extensible model layer for approved open-weight and customer-selected models.
Semantic Engineering. Grounding for AI in business concepts, data, rules, and relationships, with reusable patterns for Knowledge, Analytics, Process, and Systems use cases.
Agents and accelerators. Accion agents and accelerators, including SPEX for governed agentic workflows where relevant, configured and extended to accelerate Smart People, Smart Process, and Smart Products initiatives.

Start With the Workloads

We begin with workloads, data boundaries, users, concurrency, model sizes, data movement, and operational requirements, not the hardware specification.

Define Architecture and Foundation

Accion defines the target architecture and use-case roadmap, Dell or Lenovo provides the validated compute foundation, and Diamanti configures the Kubernetes, storage, and networking layers for efficient use of available infrastructure.

Configure and Ground

Accion configures the model and runtime layers, establishes the semantic context foundation, integrates enterprise data and applications, and engineers the initial priority use cases.

Validate Before Rollout

The complete environment is validated for quality, security, throughput, resource utilization, governance, and capacity-based economics before production rollout.

Assess and Architect

Define priority workloads, data boundaries, concurrency, performance needs, integration dependencies, and the right private AI architecture.

Deploy and Optimize

Install the validated infrastructure and configure Diamanti, the AI runtime, secure Playground, models, security, monitoring, and approved external channels.

Ground and Engineer

Connect enterprise data and applications, establish semantic context, and configure or build the agents and AI solutions required for the selected use cases.

Govern and Scale

Apply validation, observability, access controls, and lifecycle management, then expand workloads while continuously monitoring performance and infrastructure utilization.

An optimized workload-sized private AI environment

A secure GenAI Playground for model evaluation, experimentation, and solution development

A flexible model and runtime layer that can evolve as models and workload needs change

A Semantic Engineering foundation that grounds AI in enterprise data, meaning, rules, and relationships

Optional reusable agents, solution patterns, and accelerators for Smart People, Smart Process, and Smart Products

Enterprise integration, governance, observability, improved infrastructure utilization, and more predictable capacity-based economics

Solution-Led, Not Appliance-Led

We design the environment around business workloads and adoption priorities rather than treating private AI as a hardware procurement exercise.

An Integrated Partner Ecosystem

We combine enterprise compute from Dell and Lenovo, Diamanti's Kubernetes-native infrastructure optimization, and Accion's AI engineering stack into one deployable private AI environment.

Semantic Engineering Built In

Models and agents are grounded in the business concepts, relationships, rules, and evidence required for dependable enterprise use.

Accelerators That Shorten the Path to Value

Reusable patterns and Accion platforms help move selected use cases from experimentation into governed enterprise solutions.

End-To-End Engineering Accountability

Accion covers architecture, configuration, integration, use-case engineering, validation, deployment, and the operating model required to scale.

A fully secure perimeter

Built to be deployed and perform under the higher scrutiny, completely on-premises for regulated environments.

Semantic Engineering at the core

Deterministic, explainable AI grounded in your enterprise knowledge, not generic models.

Engineering depth

Decades of product, platform and data engineering behind every AI build.

Outcome-led delivery

Measurable business impact, not proofs of concept that stall before production.

IPs and accelerators

AI Prism, BreezeAI, ASIMOV, SPEX and more shorten time to value.

Governed by design

Security, compliance and Responsible AI built in from the first sprint.

Need AI that runs on your terms, inside your boundary? Tell us about your workloads.

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FAQs

What is GenAI-in-a-Box?

GenAI-in-a-Box is Accion Labs' configurable private enterprise AI environment. It combines enterprise GPU infrastructure from Dell and Lenovo, Diamanti's Kubernetes-native orchestration and data plane, and Accion's secure AI stack, Semantic Engineering, agents, integration, governance, and implementation services inside the customer's approved boundary.

What is included in GenAI-in-a-Box?

The configuration can include enterprise GPU servers, storage, networking, security and monitoring; Diamanti for Kubernetes orchestration and infrastructure optimization; NVIDIA-aligned AI software where appropriate; a secure GenAI Playground; approved models and model-management capabilities; a semantic context layer; enterprise connectors; governance and observability; reusable agents and accelerators; and the engineering required to implement the initial use cases.

Can it support our own models and use cases?

Yes. GenAI-in-a-Box is designed as an extensible enterprise environment rather than a fixed agent bundle. Accion can integrate approved customer-selected models, connect internal applications and data sources, and configure or engineer use cases across Smart People, Smart Process, and Smart Products. Diamanti helps the shared infrastructure support these workloads efficiently as demand expands.

GenAI-in-a-Box