Do you have an AI project but aren't sure which infrastructure to start with?
From use case to production: Zenita Group helps you define your goal, choose the right scale, and grow only when value is proven.
Less risk, proper sizing, anda smooth transition to production without having to redesign everything.
AI becomes valuable when
is put into operational use
An AI project doesn't start with a server, but with a concrete result: a more accurate prediction, an internal assistant, real-time monitoring, or a faster process. That's why we start with the use case and work our way to the infrastructure—never the other way around.
Together with Dell Technologies, we turn an idea into a measurable path: we define the requirements, choose the minimum scale suitable for the pilot project, and lay the groundwork for the transition to production right from the start.
71% of large companies have already launched an artificial intelligence project, but only one in five actually uses it on a widespread basis.
We'll help you bridge that gap.
Source: Artificial Intelligence Observatory, Politecnico di Milano
Hardware jointly validated by Dell Technologies and Zenita Group, from the XS node to the XL cluster.
Overcome the obstacles between
the driver and the actual value
More control over security, latency, and costs: AI stays within your network perimeter.
Let's start by defining the desired outcome to choose the right architecture, data, and GPU.
The right question isn't "What AI infrastructure should we buy?", but
"What result do we want to achieve, and what requirements are needed to reach it?"
Sizing Based on Actual Load
Avoid overinvestment and bottlenecks: the configuration is based on your inference workloads, not on a one-size-fits-all approach.
Transparent and Controlled Costs
Reduce cloud uncertainty and keep your data within your own network, with an efficient architecture and more predictable costs.
From Proof of Concept to Production
Move to the operational phase without starting from scratch, with Zenita's hardware governance and systems support.
Do you already have a use case in mind?
Tell us about it: Let's start with your requirements, and we'll help you figure out what infrastructure you really need.
From the result you want to achieve to the right AI Pod size
AI Pods combine computing, acceleration, storage, and management on Dell PowerEdge. The five configurations serve as benchmarks: the final choice depends on your use case, data, and actual workload.
Which goal do you want to start with?
These are starting points, not set paths: tell us what you need, and together we’ll find the best configuration for you.
Analyze images and videos
Computer vision, access control, and quality control—even close to where the data is generated.
Searching Documents and Archives
RAG, internal assistants, and research on contracts, reports, and confidential content.
Forecast and Optimize
Forecasts on energy, maintenance, demand, and processes using data from your organization.
Taking the PoC into production
Multiple parallel models, simulations, and enterprise workloads designed to scale.
AI Pod XS
Ideal for
Retail and Logistics
On-premises access control and video analytics, with real-time responses and no reliance on the cloud.
Hardware
Dell PowerEdge R470
NVIDIA L4
AI Pod Small
Ideal for
Computer Vision and Specialized Assistants
Computer vision and specialized language models, close to where the data is generated.
Hardware
Dell PowerEdge R570
NVIDIA L40S
Dell PowerSwitch 400 GbE
AI Pod Medium
Ideal for
Finance and Energy
Internal assistants, company document searches, and forecasts—all using data within your scope.
Hardware
2 × Dell PowerEdge R770
NVIDIA RTX PRO 6000 Blackwell Server Edition
400 GbE Network
AI Pod Large
Ideal for
Documents and Archives
Complex contracts, scanned documents, and high-resolution images that can be searched in real time.
Hardware
4 × Dell PowerEdge R770
NVIDIA RTX PRO 6000 Blackwell Server Edition
iDRAC10 · 800 GbE Network
AI Pod XL
Ideal for
Large-scale simulations
Multiple parallel models, digital twins, and analysis of large volumes of data.
Hardware
4 × Dell PowerEdge R770
NVIDIA H200 NVL
800 GbE Network
Note: The configurations listed above are reference configurations. Each architecture is sized and customized jointly by Zenita Group and Dell Technologies based on your company’s specific operational requirements.
From the initial discussion to production
A clear path to validate the value, monitor the investment, and bring the project into operational service.
Workshop
Business, IT, security, and compliance representatives come together to define objectives, data, users, and success criteria.
Sizing
Let's determine the minimum size capable of supporting a typical rider without any waste.
Design
We configure Dell PowerEdge servers, NVIDIA accelerators, networking, storage, and management platforms.
Proof of Concept
We validate performance, costs, security, and management on a real workload before scaling up.
Production
We get the service up and running and map out the growth strategy, all through a single point of contact.
Let's talk about your AI project
In the first comparison, we'll analyze the use case and key requirements to determine which approach and infrastructure make the most sense for your company.
Request Received
Thank you for sharing the details of your project. The Zenita team will review the information and contact you to schedule an initial meeting to discuss the use case. The purpose of this initial meeting is to define the use case, the data involved, and the most appropriate approach.