Dell hardware
Dell Pro Max with GB10 brings the NVIDIA GB10 superchip into a compact Dell desk-side footprint built to start immediately.
Elettra/Dell Pro Max with GB10Production-ready private and sovereign AI appliance
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.
Private and sovereign by design
Data, models, and runtime controls stay inside your own perimeter.
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.
Why this appliance
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.
Start small and fast
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.
Same Galene.AI foundation
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.
Dell OEM delivery
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.
AI adoption journey
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
01Launch a private assistant that works on your files and internal knowledge from day one, without sending data or prompts outside your perimeter.
Operationalize
02Move beyond chat with focused agents, permissions, workflow automation, and APIs while keeping runtime and governance under control inside your own perimeter.
Scale
03Stay 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.
Galene.AI Elettra
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
A secure internal assistant for everyday work, grounded on enterprise knowledge inside your sovereign perimeter.
AI Adoption
Scope
Agents
Build and run assistants and specialized agents without writing code, with permissions, tools, and runtime under control.
AI Adoption
Scope
Automation
Orchestrate end-to-end workflows inside your perimeter, with AI actions connected to real systems and business processes without giving up control.
AI Adoption
Scope
APIs
Integrate Galene.AI Elettra into applications and products using familiar interfaces without giving up sovereignty, control, or ownership.
AI Adoption
Scope
CLI
Use local models for coding assistance and console automation inside your own perimeter, as a private alternative to cloud-based coding copilots.
AI Adoption
Scope
Generative Shield

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.
Enterprise integrations
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.





















Generative Nexus

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.
Optimized model fleet

Hardware profile
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.

Built on Dell
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.
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
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 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
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
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.
Galene.AI Arethusa
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.

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

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.
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.