Dell hardware
Dell Pro Max Tower T2 brings the NVIDIA RTX PRO 6000 Blackwell workstation GPU into a Dell tower footprint built for company-scale rollout in SMBs.
RTX PRO 6000 Blackwell96 GB GDDR7Scalable 32L tower
Production-ready private and sovereign AI appliance
Private and Sovereign AI. Company-scale Elettra.
Galene.AI Elettra turns Dell Pro Max Tower T2 with NVIDIA RTX PRO 6000 Blackwell Workstation Edition into a production-ready AI appliance for small and medium businesses that need more concurrency, stronger inference throughput, and a broader rollout capacity while keeping future expansion options open.
Private and sovereign by design
Data, models, and runtime controls stay inside your own perimeter.
Zero data egressLocal inferencePolicy enforcement
Company scale
Galene.AI Elettra turns Tower T2 into a company-scale footprint that reaches up to 100 users on one system and up to 200 users on a 2-machine deployment.
Up to 100 usersUp to 200 on 2 machines1-to-2 node HA
Why this appliance
From first real rollout to company-scale adoption without leaving Elettra.
Cloud AI is easy to test, but recurring usage charges quickly become a budget constraint. When every prompt, workflow, or team rollout raises a cost question, adoption slows down before the organization really learns how to work with AI.
Galene.AI Elettra combines Dell Pro Max Tower T2 and the Galene.AI product layer so small and medium businesses can deploy private AI beyond a single desk, support broader internal usage, and keep the same software logic as adoption grows. 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 included8-12 parallel usersScale with confidence
Company-scale Elettra
Built for the first serious company rollout, not just a few power users.
Tower T2 is the Elettra step for organizations that need real internal adoption headroom. It is sized for small and medium businesses up to 100 total users, with 8 to 12 concurrent users at the expected full-speed operating point.
Up to 100 total usersUp to 200 users on 2 machines8 to 12 concurrent usersCompany-wide SMB rollout
Workstation-class GPU headroom
Built around RTX PRO 6000 for heavier local AI workloads.
The RTX PRO 6000 Blackwell Workstation Edition adds 96 GB of GDDR7 memory and workstation-class throughput for broader local model, multi-user, and heavier internal AI workloads on a single tower.
96 GB GDDR7 GPU memoryWorkstation-class inference throughputBroader local model headroom
High availability in Elettra
Two Tower T2 systems can form a resilient 1-to-2 node Elettra footprint.
When continuity matters, two Dell Pro Max Tower T2 systems can be connected through peer-to-peer fiber optics to enable a high-availability Elettra setup while still keeping broader rack-scale expansion as an optional choice for later.
Peer-to-peer fiber optics1 to 2 node Elettra footprintOptional rack-scale expansion later
AI adoption journey
Roll out private AI across teams, not just individual desks.
Start with private chat grounded on your documents for multiple teams. Then operationalize agents, workflows, and APIs on the same product. When continuity matters, add a second Tower T2 for high availability inside the Elettra footprint.
Roll out
01Deploy a private assistant across multiple teams
Launch a private assistant that works on internal files and knowledge for several users at once, without sending prompts or data outside your perimeter.
- 8 to 12 parallel users
- Document-grounded answers
- Immediate company adoption
Operationalize
02Run agents, workflows, and APIs for daily departments
Move beyond chat with specialized agents, permissions, workflow automation, and product APIs while keeping runtime and governance under control inside your own perimeter.
- Department workflows
- Specialized agents
- Controlled runtime
Add resilience
03Pair two towers when continuity and failover become important
Keep the same Galene.AI Elettra product and user experience while adding a second Tower T2 through a peer-to-peer fiber-optic setup for a resilient 1-to-2 node deployment.
- High-availability option
- Same Elettra product logic
- No rack footprint yet
Galene.AI Elettra
AI Operating System.
Galene.AI Elettra brings the software product layer that turns Dell Pro Max Tower T2 into a usable private and sovereign appliance: assistants, agents, workflow automation, APIs, integrations, and controlled rollout in one operating layer.
Assistant
Private copilot
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
Operational 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
Live workflows
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
Product interfaces
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 coding
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
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.
Generative Nexus
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.
Hardware profile
Dell hardware built for company-scale private AI activation.
This hardware layer starts from Dell Pro Max Tower T2, a 32L tower system configured with Intel Core Ultra 9 285K, 64 GB of ECC DDR5 memory, and NVIDIA RTX PRO 6000 Blackwell Workstation Edition. Galene.AI Elettra adds the product layer that turns it into an operational appliance for broader internal rollout.
Tower hardware viewDell Pro Max Tower T2
Built on Dell
Dell Pro Max Tower T2, Blackwell workstation power for company-scale private AI.
The current appliance configuration combines a scalable 32L Dell tower, Intel Core Ultra 9 285K, NVIDIA RTX PRO 6000 Blackwell Workstation Edition with 96 GB GDDR7, 64 GB of ECC DDR5 memory, and Ubuntu Linux. Galene.AI Elettra adds the production layer on top.
RTX PRO 6000 BlackwellIntel Core Ultra 9 285K64 GB DDR5 ECC
CPU configuration
Intel Core Ultra 9 285K
36 MB cache, 24 cores, 24 threads, 3.2 GHz to 5.7 GHz, 125W
Memory configuration
64 GB DDR5 ECC
2 x 32 GB at 5600 MT/s
Chassis and power
Scalable 32L tower
Up to 1500 W PSU, Ubuntu Linux
GPU spotlight
NVIDIA RTX PRO 6000 Blackwell Workstation Edition (600W).
This GPU is the core of the Tower T2 profile: 96 GB of GDDR7 memory with ECC, up to 4000 TOPS of theoretical FP4 AI performance with sparsity, and PCIe Gen 5 for larger local, multi-user, and more demanding workloads.
600W max power96 GB GDDR7 ECC4000 AI TOPSPCIe Gen 5
Workstation GPURTX PRO 6000
Disclaimer
The current appliance target is small and medium businesses up to 100 total users per Tower T2, and up to 200 total users in a paired 2-machine deployment, with 8 to 12 concurrent users as the expected full-speed operating point without noticeable slowdowns. Actual sustained speed depends on the AI models in use, context length, and the specific workload mix being executed.
Deployment path
Start smaller on GB10. Keep broader scale as an option.
Dell Pro Max with GB10 is the smaller Elettra entry point when one compact system is enough. Tower T2 becomes the broader company-scale footprint. If one day the tower footprint is no longer enough, Arethusa remains available as a separate rack-scale option.
Start smaller
Dell Pro Max with GB10
The smaller Elettra starting point for teams that need private AI on a compact footprint, typically for 1 to 9 users and 2 full-speed concurrent users.
Same product
Same Galene.AI Elettra product
The same assistants, agents, workflows, APIs, governance, and user experience span GB10 and Tower T2, so starting smaller does not create a different product path.
Dell Pro Max with GB10START SMALL OPTION
Galene.AI Arethusa
If much broader scale is needed later, Galene.AI Arethusa Rack Appliances are also an option.
For organizations that later need broader concurrency, multi-node scale-out, load balancing, and multi-site high availability, Galene.AI Arethusa on Dell rack servers is a separate expansion option. It is not a mandatory step for teams that find Tower T2 to be the right long-term footprint.
Multi-node scenarios with load balancingHigh availability and multi-site topologiesOptional expansion when truly needed
Rack-scale pathARETHUSA
RTX PRO 6000 Server EditionH200B200 / B300
Dell Technologies OEM
Pre-installed and configured in Dell Technologies factories.
Galene.AI Elettra on Dell Pro Max Tower T2 is pre-installed and configured directly in Dell Technologies factories by Dell Technologies OEM.
That positions Tower T2 as a Dell OEM appliance for broader Elettra rollouts, with a direct delivery path for organizations that want to start with a more capable footprint and grow only as adoption actually requires.
Roll out Elettra at company scale.
If you need a Dell OEM appliance that supports broader internal adoption from day one, and leaves future expansion optional rather than predetermined, Dell Pro Max Tower T2 is the right Elettra step.