RTX 5090 · RTX 5080 · NVIDIA GPU servers

NVIDIA RTX 50 Series GPU servers

Two Blackwell GeForce cards go into our dedicated servers: the RTX 5090 and the RTX 5080. The card is passed through to your own operating system on a machine rented to one account, so the driver, the CUDA version and the processes on it are yours.

AI applications Machine learning training 3D rendering Gaming

Fifty-odd cards go into these machines, GeForce and datacentre alike. The GPU catalogue lists every one of them with its own monthly price and the cheapest machine that takes it.

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Perfect for gaming, AI workloads, and content creation

High-performance NVIDIA RTX 50 series GPU servers built on Blackwell architecture, delivering exceptional performance for gaming, AI acceleration, real-time ray tracing, and professional visualization workloads.

Scalability

Only pay for the resources your project requires, with the added flexibility to scale server components like RAM and storage according to your needs.

Global data centers

Deploy your RTX 50 series server globally. Choose from data centers in New York, San Francisco, Miami, Bucharest or Amsterdam to ensure optimal latency.

24/7 Support

Feel confident knowing help is always available. Get assistance whenever you need it, via email or live chat, so you can focus on what truly matters.

Explore RTX 50 Series GPUs

The two Blackwell GeForce cards in our order catalogue. Every figure below is the one NVIDIA publishes on its own GeForce comparison page.

Flagship

GeForce RTX 5090

The most card memory of any GeForce part we fit

NVIDIA RTX 5090

Core Specifications

VRAM 32GB GDDR7
CUDA Cores 21,760
Memory Interface 512-bit
Boost Clock 2.41 GHz
Graphics Power 575W

Key Features

  • 32GB of GDDR7 holds a 13-billion-parameter model at 16-bit
  • 4th Gen RT Cores with neural rendering
  • 5th Gen Tensor Cores with DLSS 4 Multi Frame Generation
  • Goes on four of our server lines, so it is not tied to one chassis
Best Value

GeForce RTX 5080

The same generation for a good deal less each month

NVIDIA RTX 5080

Core Specifications

VRAM 16GB GDDR7
CUDA Cores 10,752
Memory Interface 256-bit
Boost Clock 2.62 GHz
Graphics Power 360W

Key Features

  • Outstanding 4K rendering with full ray tracing
  • Advanced DLSS 4 with Multi Frame Generation
  • Accelerated AI inference and training
  • Professional-grade content creation performance

Before you order: the slot it goes in

The RTX 5090 and the RTX 5080 are PCI Express Gen 5 cards. The server platforms we rack them in are Gen 3 and Gen 4, so the link between card and host runs below the card's design bandwidth. We would rather say that here than let you find out afterwards, because it has already cost one customer a support ticket: an RTX 5090 fitted to a Gen 3 platform rendered slower than the RTX 4090 it replaced.

It matters for a training loop that streams batches across the bus, and it matters not at all for a transcoder, a game server, or an inference server whose weights are already resident in the card's own memory. Which generation each server line gives a card is published, line by line, on the GPU catalogue. Check it against the work you intend to run.

Next-generation GPU technology powered by Blackwell

The RTX 50 series introduces groundbreaking advancements in ray tracing, AI acceleration, and graphics rendering, setting new standards for performance and efficiency in GPU computing.

Blackwell Architecture

Built on NVIDIA's Blackwell architecture, the RTX 50 series delivers superior rendering performance, better efficiency, and AI-driven capabilities, making it suitable for a wide range of demanding tasks.

AI and Machine Learning

Train and run AI inference tasks on fifth-generation Tensor Cores. Card memory is the constraint worth planning around: 32GB on the 5090, 16GB on the 5080, and the GPU page works through how much a model of a given size actually needs.

Ray Tracing

Fourth-generation RT Cores deliver cinematic-quality visuals with full ray tracing, for real-time rendering and offline batch work alike.

DLSS Technology

Unlock exceptional speed and visuals with DLSS 4, boosting FPS, reducing latency, and enhancing image quality through Multi Frame Generation and advanced Ray Reconstruction.

FAQ

Common questions about deploying and managing your NVIDIA RTX 50 series GPU-accelerated servers for gaming, AI acceleration, and content creation workloads.

Which RTX 50 series cards can I actually order?

Two: the GeForce RTX 5090 with 32GB of GDDR7, and the GeForce RTX 5080 with 16GB. Those are the RTX 50 parts in our order catalogue, and the configurator will not offer you a third. The 5090 goes on four of our server lines and the 5080 on one. There is no RTX 5070 here — this page advertised one until August 2026 and it was never in the catalogue.

What makes NVIDIA RTX 50 series GPUs ideal for gaming and AI workloads?

The RTX 50 series is built on NVIDIA's Blackwell architecture, with fifth-generation Tensor Cores for AI acceleration and fourth-generation RT Cores for real-time ray tracing. They deliver strong rendering performance with full ray tracing, DLSS 4 with Multi Frame Generation, and useful AI inference throughput for machine learning tasks, content creation and generative AI applications.

Will an RTX 5090 run at full speed in your servers?

The card's own link will not. Both cards are PCI Express Gen 5 parts and our host platforms are Gen 3 and Gen 4, so the bus between card and host runs below the card's design bandwidth. That is a real constraint for training that streams batches across the bus, and no constraint at all for transcoding, game servers or inference where the weights already sit in card memory. Lane generation per server line is published on the GPU catalogue.

How long does it take to deploy an RTX 50 series GPU server?

Where the machine is already racked it is typically delivered within minutes of your payment being verified. Where it is not, it is built to order and the lead time depends on the parts, so ask first if the date matters — instant servers is the page for what is standing in a rack right now. Your server includes instant OS reload, so you can iterate without re-opening a ticket.

What workloads are RTX 50 series servers optimized for?

Gaming and cloud gaming, AI inference and training, real-time ray tracing, 3D rendering and visualization, content creation workflows and generative AI. GeForce silicon has no ECC and no certified professional driver, which makes it the highest arithmetic per pound in our catalogue and the wrong choice where a wrong bit is a disaster rather than a retry. Where it needs to be a professional or datacentre card instead, the GPU catalogue has those priced beside these.