Galene.AI logoElettra/Dell Pro Max with GB10

Production-ready private and sovereign AI appliance

Private and Sovereign AI. Start small and scale with confidence.

Galene.AI Elettra turns Dell Pro Max with GB10 into a production-ready AI appliance for professionals and teams that want to start immediately on a compact footprint, then grow into larger Dell systems without changing the platform logic.

Dell hardware

Dell Pro Max with GB10 brings the NVIDIA GB10 superchip into a compact Dell desk-side footprint built to start immediately.

128 GB unified memoryUp to 200B parameter modelsNVIDIA DGX OS 7

Private and sovereign by design

Data, models, and runtime controls stay inside your own perimeter.

Zero data egressLocal inferencePolicy enforcement

Start small, scale with confidence

Galene.AI Elettra turns Dell Pro Max with GB10 into the first step of a path that can grow toward Tower T2 and Dell rack servers.

Start small and fastTower-to-rack pathPlanned migration

Why this appliance

Start immediately. Grow without changing the platform logic.

Cloud AI is easy to start, but pay-per-use economics quickly become a burden. When every prompt, workflow, or experiment raises a cost question, creativity slows down and AI adoption hits a limit.

Galene.AI Elettra combines Dell Pro Max with GB10 and the Galene.AI platform layer so teams can start on a compact desk-side appliance, learn the product in a real operational setting, and then scale on larger Dell hardware. You buy the appliance once, use it for years, and get 3 years of software updates and technical maintenance included in the price.

Pay once3 years includedStart immediatelyScale with confidence

Start small and fast

Dell Pro Max with GB10 is the first step of a broader Dell AI path.

Start on a compact Dell OEM appliance that is easy to activate, then expand toward Dell Pro Max Tower T2 and, when scale justifies it, toward Dell rack servers.

GB10 on day oneTower T2 nextRack path when needed

Same Galene.AI foundation

Learn the platform once, then grow the hardware around it.

The same Galene.AI product logic spans assistants, agents, automation, APIs, and governance from the first GB10 use cases onward. Tower-scale stays in Elettra; rack-scale moves to Arethusa through planned migration rather than a mixed cluster.

Same platform logicSame user-experience principlesPlanned migration to Arethusa

Dell OEM delivery

Pre-installed and configured in Dell Technologies factories.

The Galene.AI layer is factory-integrated by Dell Technologies OEM, so the compact Dell system arrives as an OEM-led entry point into the Elettra product line.

Dell Technologies OEMFactory-configuredReady to activate

AI adoption journey

Start with use cases. Scale with adoption.

Start immediately with private chat grounded on your documents. Then operationalize agents and workflows on the same appliance. When adoption grows, move the same use cases to larger Dell systems with a clear product path.

Start now

01

Start with private chat on your documents

Launch a private assistant that works on your files and internal knowledge from day one, without sending data or prompts outside your perimeter.

  • Private chat
  • Document-grounded answers
  • Immediate time to value

Operationalize

02

Build agents and workflows on the same product

Move beyond chat with focused agents, permissions, workflow automation, and APIs while keeping runtime and governance under control inside your own perimeter.

  • Specialized agents
  • Workflow automation
  • Controlled runtime

Scale

03

Move the same use cases onto larger Dell hardware

Stay on Galene.AI Elettra as you move to Dell Pro Max Tower T2 for more office and departmental headroom. When rack-scale concurrency, load balancing, and high availability are required, adopt Galene.AI Arethusa on Dell servers through a planned migration.

  • Tower T2 under Elettra
  • Arethusa for rack scale
  • Planned environment porting

Galene.AI Elettra

AI Operating System.

Galene.AI Elettra brings the software product layer that turns Dell Pro Max with GB10 into a usable private and sovereign appliance: assistants, agents, workflow automation, APIs, integrations, and controlled rollout in one operating layer.

Assistant

General-purpose AI Assistant

A secure internal assistant for everyday work, grounded on enterprise knowledge inside your sovereign perimeter.

Private chatKnowledge groundingDaily copilot

AI Adoption

  • Secure internal assistant
  • Knowledge grounding
  • In-perimeter usage

Scope

  • Daily productivity
  • Internal research
  • Enterprise Q&A

Agents

No-code AI Agents Builder

Build and run assistants and specialized agents without writing code, with permissions, tools, and runtime under control.

Tool permissionsTask chainingRuntime guardrails

AI Adoption

  • No-code construction
  • Controlled permissions
  • Clear execution patterns

Scope

  • Specialized agents
  • Repeatable tasks
  • Department workflows

Automation

Private Workflow Automation Hub

Orchestrate end-to-end workflows inside your perimeter, with AI actions connected to real systems and business processes without giving up control.

System actionsWorkflow runsBusiness triggers

AI Adoption

  • End-to-end orchestration
  • Actions on real systems
  • Private execution paths

Scope

  • Internal processes
  • Operations
  • Business automation

APIs

OpenAI-compatible SDK and REST APIs

Integrate Galene.AI Elettra into applications and products using familiar interfaces without giving up sovereignty, control, or ownership.

OpenAI-compatibleTool callingEmbeddable APIs

AI Adoption

  • Compatible interfaces
  • Structured tool calling
  • Product integration ready

Scope

  • Custom apps
  • Digital products
  • Dedicated front ends

CLI

Private CLI for coding and console automation

Use local models for coding assistance and console automation inside your own perimeter, as a private alternative to cloud-based coding copilots.

Coding assistanceConsole automationLocal models

AI Adoption

  • Private development support
  • Terminal actions
  • Local execution

Scope

  • Engineering workflows
  • Console tasks
  • Private technical operations

Generative Shield

Generative Shield logo

Runtime governance and risk mitigation.

Standard and custom controls applied at runtime, with approvals, traceability, and secure operations inside your perimeter.

Generative Shield is Galene.AI's proprietary runtime layer for risk mitigation and governance. It applies policy controls across assistants, agents, and workflows, helping teams operate private and sovereign AI with approvals, traceability, and consistent safeguards.

Runtime guardrails and cyber security inspectionAuditable governance and compliance as workflowControlled observability, logging, and tracing

Enterprise integrations

Connected to the systems your teams already rely on.

Galene.AI Elettra carries the same Galene.AI integration logic, so assistants, agents, and workflows can work across identity, knowledge bases, storage, databases, business systems, and MCP servers through a cloud-like product layer that stays private, sovereign, and under operational control.

Google
Microsoft Entra ID
Keycloak
Google Drive
Microsoft SharePoint
Amazon S3
Samba
PostgreSQL
MySQL
MariaDB
Microsoft SQL Server
Oracle
IBM Db2
Slack
Salesforce
Jira
HubSpot
SAP
ServiceNow
Workday
MCP Server

Generative Nexus

Generative Nexus logo

Inference and orchestration for the model fleet.

The layer that selects, routes, and orchestrates AI models across every Galene.AI Elettra appliance.

Generative Nexus handles inference, routing, and operational model orchestration. Galene.AI updates an optimized model fleet every quarter to keep the best balance between model capability, performance, and appliance size.

Updated every quarterModel routingCurated catalog

Optimized model fleet

Users can choose from a Galene.AI-curated and optimized AI model catalog, tuned for different appliance sizes and workload profiles.

Qwen
Google Gemma
Llama
Mistral

Hardware profile

Dell hardware built for fast desk-side AI activation.

This hardware layer starts from Dell Pro Max with GB10, a compact desk-side system with 128 GB unified memory and the NVIDIA DGX OS 7 software foundation. Galene.AI Elettra adds the product layer that turns it into an operational appliance.

Desk-side hardware viewDell Pro Max with GB10
Dell Pro Max with GB10 hardware overview

Built on Dell

Dell Pro Max with GB10, compact AI power at the desk.

The system combines the NVIDIA GB10 Grace Blackwell superchip, 128 GB unified memory, support for up to 200B parameter models, and NVIDIA DGX OS 7 as the local AI software foundation in a compact desk-side design. Galene.AI Elettra adds the production layer on top.

128 GB unified memoryUp to 200B modelsDual ConnectX-7 SmartNIC

Local memory

128 GB unified memory

Large memory footprint perfectly suited to run medium sized Mixture-of-Experts models with good performances

Parallel execution

Multi-model agentic flows

Keep multiple small and medium models active in parallel for more complex agentic AI use cases

Blackwell inference

NVFP4 quantization

Better inference efficiency and lower memory footprint while preserving model quality

Disclaimer

The current appliance target is 1 to 9 users, with 2 concurrent users as the expected full-speed operating point without noticeable slowdowns. Actual concurrent-user speed depends on the AI models in use and on the specific workloads being executed.

Direct scale option

Dell Pro Max Tower T2, when the Elettra footprint needs more headroom.

Dell Pro Max Tower T2 is the direct next Elettra option when teams want more office or department capacity while keeping the same Galene.AI product and user experience.

Elettra scale-up

Dell Pro Max Tower T2

A tower-scale Elettra step that can be configured up to NVIDIA RTX PRO 6000 Blackwell Workstation Edition for broader office and departmental AI workloads.

Same product

Same product, broader rollout

Keep the same Galene.AI Elettra logic, the same use cases, and the same controlled user experience while moving from a single desk-side system to a larger tower footprint.

Dell Pro Max Tower T2ELETTRA SCALE OPTION
Dell Pro Max Tower T2

Galene.AI Arethusa

When even more scale is needed, move to Galene.AI Arethusa Rack Appliances.

For broader concurrency, multi-node scale-out, load balancing, and multi-site high-availability scenarios, the next step is not a mixed cluster with Elettra but adoption of the full Galene.AI Arethusa platform on Dell rack servers.

Multi-node scenarios with load balancingHigh availability and multi-site topologiesPlanned migration from Elettra to Arethusa
Rack-scale pathARETHUSA
Dell PowerEdge XE7745
RTX PRO 6000 Server EditionH200B200 / B300

Dell Technologies OEM

Pre-installed and configured in Dell Technologies factories.

Galene.AI Elettra on Dell Pro Max with GB10 is pre-installed and configured directly in Dell Technologies factories by Dell Technologies OEM.

Dell Technologies logo

That makes this system the primary OEM-led entry point into Galene.AI Elettra, with a direct delivery path aligned with the broader hardware growth options that follow.

Start on Dell GB10. Scale when adoption proves it.

If you want a compact OEM appliance that gets teams into Galene.AI Elettra immediately and keeps a clean path toward Tower T2 and then Arethusa on Dell rack servers, this is the right place to start.