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GPU rental · request capacity

RTX 3090 rental in Europe: the AxForge 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. Request dedicated capacity for this GPU through AxForge. Registered demand is used to prioritize new capacity.

Request capacity Four cards · 24 GB GDDR6X each Dedicated · quoted per deployment rtx-3090.axforge.ai
Ask for this GPU Available now: DGX Spark (GB10) Our entry tier for dedicated EU-hosted GPU capacity, quoted per deployment. Dedicated DGX Spark capacity is available now from €0.85/hour.
A machine with an NVIDIA RTX 3090

Specifications

What you get

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
PricingQuoted per deployment
RegionEuropean region, placement confirmed with your request

The pitch: proven cards, real capacity, dedicated to you. If your workload needs newer silicon or more memory per card, look at the RTX 5090 systems, the RTX 6000 Pro or the DGX Spark. The DGX Spark is available now.

Community data

Why a 2020 card still earns its place

On 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, and still ahead of several newer 16 GB cards. Its 24 GB of VRAM at ~936 GB/s bandwidth is the combination that keeps it interesting: capacity that newer consumer cards at this price point don't match.

Same-workload numbers from the llama.cpp CUDA scoreboard (Llama 2 7B Q4_0, tg128, full GPU offload). Community measurements, not ours. Full ladder on the GPU catalogue.

Community data

A modern 35B MoE on one 3090

A recent community benchmark ran Qwen3.6-35B-A3B, the same MoE family we serve in production on GB10, on a single RTX 3090:

ConfigurationDecode
Model setup fully in VRAM~140 t/s
Full long context via partial CPU offload~89 t/s
Less-optimized offload configuration~65 t/s

The spread is the lesson: on 24 GB, the offload configuration decides the result. Figures above are single-card. Rent one card or a multi-GPU system, as your workload needs. Community measurements, not ours.

Data & privacy

Dedicated, EU-hosted

Like every AxForge machine: your model, your traffic, our hardware. Prompts are never persisted. Only request metadata (token counts, timestamps, status) is kept for billing and operations. Full policy at axforge.ai/privacy.

Models

Which models fit one RTX 3090

Estimated from each model's own files and config (24 GB per card): language models · image models · video models · embedding models.

FAQ

RTX 3090 rental: common questions

Can I rent an RTX 3090 from AxForge?

Request dedicated capacity for this GPU through the AxForge Console: Ask for this GPU. Registered demand is used to prioritize new capacity, and machines are sized to the workloads that asked for them. Dedicated DGX Spark (GB10) capacity is available now from €0.85/hour.

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, 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?

Quoted per deployment. It is the entry tier for dedicated EU-hosted hardware at AxForge. 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, the DGX Spark is available now from €0.85/hour.

Where will the RTX 3090 systems be hosted?

In an AxForge European region. Dedicated GPU rentals currently run from Málaga, Spain (eu-es-1); placement is confirmed with your request.

Do you keep prompts on a rented RTX 3090 system?

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

Need a machine scoped to your workload?

Ask for this GPU Talk to an engineer

Explore

All GPUs

rtx-3090.axforge.ai, the short link for this product → DGX Spark, from €0.85/hour GB10 deep-dive RTX 3060: one card or two, €0.24/hour RTX 6000 Pro: request capacity RTX 5090: request capacity H100: request capacity H200: request capacity B200: request capacity DGX Station: request capacity All GPUs in the catalogue Hosted models → Pricing →
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