Portfolio · Solution · Ignition line

Science by outcome, not the sale of a box.

You bring the science. Ignition hands back a working scientific capability, on a deadline: ten steps running from a first cloud experiment to your own AI factory. Each step is a result with a date, not a shipment of parts.

The ordering principle

The line is ordered by installation environment, not by price, nor by TFLOPS.

Where the machine will live decides almost everything that follows: cooling, power, expansion, operation. That is why Ignition is organised into three environments: cloud, desk and field, datacenter. You recognise yours before looking at any product.

The ladder

From a cloud login to a sovereign AI factory.

One continuous ladder. Enter wherever your mission sits today; every rung above is a step, never a restart.

CLS 01

Cloud Start

The first experiment, with no hardware.

Cloud

Allocation on NVIDIA-certified cloud with GPU-hours included and scientific frameworks ready on day one. It ends with a documented step recommendation, the output isn't only scientific, it's the consumption profile that qualifies the next decision.

Accelerators
Nuvem certificada NVIDIA
Coherent memory
96 GB
Aggregate memory
768 GB
Expandability
C · Elastic

96 GB per GPU; up to 768 GB across eight concurrent GPUs.

From US$995 300 GPU-hours included.

Those who don't yet know which step they need, or who must prove it before budget approval.

BCN 02

Beacon AGX Thor

Where the data cannot travel to the compute.

Desk & field

Field and edge inference module with 128 GB of unified memory. Operates outside a technical room: vehicle, vessel, greenhouse, factory floor. It doesn't compete with the other steps: it's often sold alongside one of them, in an end-to-end architecture.

Accelerators
NVIDIA Jetson AGX Thor
Coherent memory
128 GB
Expandability
0 · Sealed
Cooling
Air

Unified memory: a single coherent space.

On request

Research generating data where there is no network: robotics, vision, sensors, embedded acquisition, remote sites.

SPK 03

Spark GB10

The end of the cluster queue.

Desk & field

Individual development station with 128 GB of coherent memory. Two units can be linked over InfiniBand at 200G per port, totalling 256 GB aggregate: memory adds up, but each unit keeps its own 128 GB coherent domain. Usually the first hardware a group buys.

Accelerators
1–2 × NVIDIA GB10 Grace Blackwell
Coherent memory
128 GB
Aggregate memory
256 GB
Expandability
2 · Pair
Cooling
Air

The ports are 200G InfiniBand. Memory across the two units adds up but does NOT form a coherent domain: a model that doesn't fit in 128 GB doesn't fit just because there are two machines.

On request

A researcher or PhD candidate who needs their own predictable environment.

PRS 04

Prism RTX PRO

Real multi-GPU, without a technical room.

Desk & field

Desk-side tower with up to four RTX PRO 6000 Blackwell Max-Q, 96 GB each. This is the bridge step: it solves the most common and most frustrating case in academic research, funding for compute, a building without infrastructure. Each card holds 96 GB coherent; aggregate reaches 384 GB.

Accelerators
1–4 × NVIDIA RTX PRO 6000 Blackwell Max-Q
Coherent memory
96 GB
Aggregate memory
384 GB
Expandability
1 · Internal
Cooling
Air

Each GPU keeps its own coherent domain. Card-to-card communication is over PCIe; the total is aggregate, not coherent.

On request

A group of 2 to 6 researchers with approved funding and a building that cannot host a rack.

LUM 05

Lumen GB300 LC

The capacity ceiling outside a datacenter.

Desk & field

Liquid-cooled desk-side station with 748 GB of coherent memory, the largest single domain available outside a technical room. It's the last step before the gate: when the client needs more, the conversation stops being about equipment and becomes about the facility.

Accelerators
NVIDIA GB300 Grace Blackwell Ultra
Coherent memory
748 GB
Expandability
0 · Sealed
Cooling
Liquid
On request

A senior PI or reference lab that needs to load a large model into a single memory space, without a rack.

BMR 06

Beam MGX RTX

The first rack step.

Datacenter

2U server based on the NVIDIA MGX reference architecture, with up to four RTX PRO 6000 Server Edition at 96 GB. It goes in alone and grows by adding nodes in the same rack, with no redesign. It's the line's commercial reference, the step against which the others are explained.

Accelerators
1–4 × NVIDIA RTX PRO 6000 Blackwell Server Edition
Coherent memory
96 GB
Aggregate memory
384 GB
Expandability
3 · Horizontal in rack
Cooling
Air

Each GPU keeps its own coherent domain. Card-to-card communication is over PCIe; the total is aggregate, not coherent.

On request

A lab or institute with a technical room and capacity shared across researchers.

BMN 07

Beam MGX NVL

Double precision in 2U.

Datacenter Double precision (FP64)

Same 2U chassis, with two to four H200 NVL in 282 GB NVLink coherent domains. It isn't the expensive Beam: it's a product for a different problem. If the work requires FP64, the conversation is here or in Aperture, and the choice between them is about mesh size, not budget.

Accelerators
2–4 × NVIDIA H200 NVL
Coherent memory
282 GB
Aggregate memory
564 GB
Expandability
3 · Horizontal in rack
Cooling
Air

Coherent domains over NVLink. The aggregate is the sum of the domains.

On request

CFD, finite elements, fluid mechanics, computational physics, climate, structural engineering.

APR 08

Aperture

Open PCIe. The next generation fits without replacing the server.

Datacenter Double precision (FP64) Open PCIe

Open-PCIe 5U chassis, from two to eight accelerators. In the reference configuration, H200 NVL across up to two 564 GB coherent domains, the largest double-precision aggregate in the line. Every integrated-baseboard server freezes the GPU choice on purchase day; Aperture doesn't. For public-funded buyers, that's the difference between a three-year asset and a seven-year one.

Accelerators
2–8 × NVIDIA H200 NVL (referência) · outros aceleradores PCIe suportados
Coherent memory
564 GB
Aggregate memory
1,128 GB
Expandability
1-3
Cooling
Air

Coherent domains over NVLink. The aggregate is the sum of the domains.

Native FP64 in the H200 reference configuration. With another accelerator, double precision follows the chosen GPU.

On request

Institutions buying in funding tranches, needing FP64 with a large domain, or protecting the investment against the next GPU generation.

QSR 09

Quasar B300

2.3 TB coherent in a single node.

Datacenter

Factory-integrated baseboard with eight B300 on a full NVLink fabric, the largest coherent domain in the line. It's the first step where the internal interconnect, not the GPU, is the product. Here the conversation stops being about equipment and becomes about a project.

Accelerators
8 × NVIDIA B300
Coherent memory
2,304 GB
Expandability
4 · Fabric
Cooling
Air

Full NVLink fabric: all GPUs in a single coherent domain.

On request

Groups training large models, institutes with concentrated demand, national laboratories.

APD 10

AI Pod B300 LC

Here the product is the rack.

Datacenter

Eight nodes, eight B300 per node, 64 GPUs per rack, liquid cooling and 800G InfiniBand. Each node holds 2.3 TB of coherent memory; the rack aggregates 18.4 TB. ARETE isn't selling equipment: it delivers an environment, with network, cooling and commissioning as inseparable parts of the scope.

Accelerators
NVIDIA B300
Coherent memory
2,304 GB
Aggregate memory
18,432 GB
Expandability
4 · Fabric
Cooling
Liquid

800G InfiniBand delivers very low-latency remote access, but NOT hardware cache coherence. The coherent domain ends at the node: 2.3 TB. The rack's 18.4 TB is aggregate.

On request

Institutions building regional reference capacity, multi-institutional consortia, national projects.

Horizon

AI Factory

The destination, not a quote.

An engineering programme integrating every Hexa domain: power, cooling, network, compute, administration and assisted operation. Not an off-the-shelf product. It enters the conversation as a destination, always with two scenarios: as the client asked, and as ARETE recommends.

A complete facility, under project.

Expandability Index

How far each step grows before it becomes another product.

The question no competitor answers in writing: how far does this take me before I have to replace everything.

Level Name How it grows
0 Sealed Fixed capacity at purchase. Growing means changing steps.
1 Internal Grows inside the chassis, without replacing the system.
2 Pair Aggregation limited to two units.
3 Horizontal in rack Grows by adding nodes in the same room.
4 Fabric Grows with no architectural ceiling. The building becomes the limit.
C Elastic Grows by allocation, not by hardware.

The 3 envelopes

What comes with each step, and what is quoted separately.

Step 01

Day-1 Frameworks, ALETHEIA, Continuity Path and one Pharos Session.

No physical asset: there is no CARE base and nothing to commission.

Steps 02–05

The above, with monthly Pharos. Praxis 0–1 is quoted separately, and whoever contracts it also receives the Acceptance Protocol and the STACK certificate.

Praxis 0–1 · Quoted separately

Steps 06–10

The above, with monthly Pharos. Praxis 0–1 is quoted separately, on-site, and whoever contracts it also receives the Acceptance Protocol and the STACK certificate.

Praxis 0–1 · Quoted separately · on-site

Deployment and Commissioning (Praxis 0–1) are quoted separately. Whoever contracts them also receives the Acceptance Protocol and the stack coherence certificate.

Let's architect together →

Data derived from catalogue ART-CAT-000 v2.3. Single public price: Cloud Start.