AxForge offering · Request

Request a dedicated 4× RTX 3090 system, the budget tier

Systems with four NVIDIA RTX 3090 cards, 24 GB GDDR6X each, for workloads that need dedicated EU-hosted GPU capacity without the newest silicon. Add a public request for dedicated capacity. Registered demand is used to prioritize new capacity, and machines are sized to the workloads that asked for them.

Currently request-only. Add your request to the public forum; this is not a booking or a promised launch.

Four cards · 24 GB GDDR6X each €0.62 /GPU-hour, launch price Dedicated · full SSH access rtx-3090.axforge.ai
Request GPU European region, placement confirmed with your request. Launch price per GPU-hour; deployment needs a separate agreement; a public request is not a booking.
A machine with an NVIDIA RTX 3090

Why AxForge

About RTX 3090

24 GB at ~936 GB/sCapacity that newer consumer cards at this price point don't match: 20 to 35B quantized models on a single card, or four cards for dev, test and volume work.
Still ahead of newer 16 GB cardsOn the same-workload llama.cpp CUDA scoreboard the RTX 3090 decodes at 158.2 t/s with 5,175 t/s prompt processing, about 2.1× an RTX 3060. Community measurements, not ours.
A modern 35B MoE on one cardA community benchmark ran Qwen3.6-35B-A3B on a single RTX 3090: ~140 t/s fully in VRAM, ~89 t/s with full long context via partial CPU offload. On 24 GB, the offload configuration decides the result.

Specifications

Offering details

SystemFour NVIDIA RTX 3090 cards in one dedicated machine, the budget tier
Memory24 GB GDDR6X per card
AvailabilityRequest capacity: register your requirement in the console
TenancyDedicated machine, your traffic only, full SSH access
Price per GPU-hour€0.62 /GPU-hour, launch price
RegionEuropean region, placement confirmed with your request.
Community decode158.2 t/s single-card (llama.cpp CUDA scoreboard, Llama 2 7B Q4_0). Labelled, not ours

RTX 3090 catalogue reference: specifications and requirements. List prices in EUR.

How it works

Using this offering

1Confirm capacity and terms in the console before the rental steps below. A public request records demand; it does not reserve or provision a machine.
2Sign in to AxForge.
3Choose RTX 3090 and describe your requirement: model sizes, traffic, term.
4AxForge scopes the 4-GPU configuration with you; deployment needs a separate agreement; a public request is not a booking.
5Add your SSH key and connect when the machine is yours.
6End the rental when your workload is complete.

Request GPU or sign in to start.

FAQ

RTX 3090: common questions

Can I rent an RTX 3090 from AxForge?

Capacity and terms must be confirmed before a booking. Request dedicated capacity for this GPU through the public forum. Registered demand is used to prioritize new capacity, and machines are sized to the workloads that asked for them.

Why offer RTX 3090 in 2026?

It is our budget tier: 24 GB GDDR6X per card is real capacity for smaller models, dev and test nodes, and workloads that do not need the newest silicon, all on a dedicated EU-hosted machine.

What is in an AxForge RTX 3090 system?

Four NVIDIA RTX 3090 cards with 24 GB GDDR6X each, rented as one dedicated machine serving only your traffic.

What does RTX 3090 rental cost?

Capacity and terms must be confirmed before a booking. It is the entry tier for dedicated EU-hosted hardware at AxForge: the launch price is listed per GPU-hour, and deployment needs a separate agreement; a public request is not a booking. Register your requirement and AxForge scopes the configuration and price with you in EUR. If 128 GB of unified memory matters more than raw decode speed, look at the DGX Spark.

Where will the systems be hosted?

Capacity and terms must be confirmed before a booking. In an AxForge European region. GPU rentals run on our machines in Stockholm (eu-se-1) or Málaga, Spain (eu-es-1); placement would be agreed before any booking.

Do you keep prompts on a rented system?

No. Your model, your traffic, our hardware. Prompts are never persisted. Only operational metadata is kept for billing and operations.

Interested in RTX 3090?

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