Custom AI infrastructure for SMEs

Own your AI.

Desktop AI workstations and supercomputers, built to fit your real needs — a one-time investment instead of recurring token costs. Take advantage of accelerated depreciation.
Your data, your models, your hardware.

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One-time investment, zero token costs From DGX Spark to DGX Station RTX PRO GPUs up to 96 GB Local models, data in-house

Why own it

Buy it once. Use it forever.

Zero token costs

No more cloud bills that grow with usage. A one-time investment, unlimited local compute.

Data and models in-house

Your data never leaves the company and your models stay yours. No dependency on external APIs.

Custom, not off-the-shelf

We configure CPU, GPU and memory around your real workloads: not a catalogue SKU, but the right machine for you.

The solutions

A crescendo, from prototype to supercomputer.

Three tiers, one philosophy: the right machine for your workload today, with room to scale up tomorrow.

The starting point

Spark-class machines · GB10

The personal AI supercomputer. The GB10 Grace Blackwell superchip — 128 GB of unified memory, ~1 PFLOP FP4 — in a desktop box, available from the major OEMs (Dell, Lenovo, ASUS, MSI…). Prototype, fine-tune up to 70 billion parameters and infer up to 200 — on your desk.

SuperchipGB10 Grace Blackwell

Memory128 GB unified

AI compute~1 PFLOP (FP4)

Inferenceup to 200B params

Storage4 TB NVMe

NetworkingConnectX-7

Power240 W

Ideal forprototyping, fine-tuning

The workhorse

AMD Threadripper + NVIDIA RTX PRO workstation

The configurable workstation: AMD Threadripper CPU and NVIDIA RTX PRO Blackwell GPUs — up to 96 GB of GDDR7 with ECC per GPU, multi-GPU setups, custom memory and storage. Assembled, validated and delivered ready for your workload.

The engine: NVIDIA RTX PRO Blackwell GPUs

NVIDIA RTX PRO Blackwell — engine for professional AI workflows

RTX PRO Blackwell GPU	GPU memory (GDDR7 ECC)
RTX PRO 6000	96 GB
RTX PRO 5000	48 / 72 GB
RTX PRO 4500	32 GB
RTX PRO 4000	24 GB
RTX PRO 2000	16 GB

5th-gen Tensor Cores (FP4, DLSS 4), up to 96 GB of GDDR7 with ECC. Configuration and pricing on request.

The apex

NVIDIA DGX Station

The data center under your desk. GB300 Grace Blackwell Ultra superchip, 748 GB of coherent memory (HBM3e + LPDDR5X), up to 20 PFLOPS of AI compute and models up to one trillion parameters. NVIDIA's latest.

NVIDIA DGX Station · GB300 Grace Blackwell Ultra.

SuperchipGB300 Grace Blackwell Ultra

Coherent memory748 GB

AI computeup to 20 PFLOPS

CPU72-core Grace

Modelsup to 1,000B params

NetworkingConnectX-8

The market moment

Red-hot prices. Italian ingenuity responds.

The DRAM shortage is making prices explode: up to +600% on DDR5 SODIMM ECC modules, because hyperscalers are buying up practically all available memory. A wave that's paralysing this market segment. The answer isn't to spend more, but to spend better.

+600%on DDR5 SODIMM ECC RAM modules: hyperscalers are buying everything

96–128 GBthe VRAM you need for a near-frontier model, locally

~43 tok/sinference with DeepSeek V4 Flash on a single RTX PRO 6000 using DwarfStar

The open-source DwarfStar (ds4) project by Salvatore Sanfilippo (antirez) runs DeepSeek V4 Flash — a near-frontier model — locally on 96–128 GB of RAM, thanks to an asymmetric 2-bit quantization of the MoE experts. The right hardware, properly sized, plus the right software: Italian ingenuity beats brute force. It's exactly the tier we build our workstations around.

Why ECONOVA

We build your AI infrastructure around what your company actually needs.

Sized to your tasks

We analyse your real workloads and configure the right machine — neither over-spec'd nor at its limit.

Built and tested

Assembled, validated and delivered ready, with the software stack already tuned to your hardware.

The hardware the right software needs

We run models like NVIDIA Nemotron Super and DeepSeek V4 Flash locally, tuned on your GPU cluster.

NVIDIA Inception partner

Direct access to the NVIDIA ecosystem and reference hardware suppliers, for always-current configurations.