GPU servers · RTX 50 series

RTX 5090 dedicated server with 32 GB for your models and renders

An RTX 5090 dedicated server is a whole machine you rent by the month with NVIDIA’s RTX 5090 inside: 32 GB of GDDR7, passed straight through to your own operating system. Nobody else uses the GPU or the server, the port is unmetered, and there is no contract. If 16 GB is enough for your job, the RTX 5080 goes into the same racks for less.

blackwell / gddr7Side by side
RTX 5090 and RTX 5080 specifications compared, from NVIDIA’s product pages.
FigureRTX 5090RTX 5080
GPU memory32 GB GDDR716 GB GDDR7
Memory bus512-bit256-bit
CUDA cores21,76010,752
Boost clock2.41 GHz2.62 GHz
AV1 encoders32
Power575 W360 W
GPU interfacePCIe Gen 5PCIe Gen 5
RTX 5090, complete machine per month, from$472.47 RTX 5080, complete machine per month, from$312.67

Own an RTX 50 series machine you are not using?

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01What it is for

What you can run on an RTX 5090 AI server

This is NVIDIA’s biggest consumer GPU, in a rack. You get a lot of compute and memory for the money, and the limits that come with consumer hardware.

01AI models

Inference and fine-tuning in 32 GB

A 30-billion-parameter model at 4-bit fits with room to spare, and so does a 13-billion model at 8-bit. The same 13-billion model at full 16-bit does not leave enough room to serve it. The sizing tables below show every case.

02Rendering

Big scenes that stay in GPU memory

GPU renderers are fast as long as the scene fits on the GPU. 32 GB holds far more geometry and textures than the 24 GB GPUs a step down, and a batch of frames can run overnight while your own workstation stays free.

03Video

Three AV1 encoders on one GPU

The RTX 5090 has three hardware video encoders and two decoders, so it can transcode several streams at once. The A100 and H100 accelerators have no encoder at all. For live channels, see our transcoding servers.

04Limits

No error-correcting memory

GeForce GPUs have no ECC and no certified professional driver. That is fine when a bad result means a rerun. For runs that last weeks without checkpoints, or software licensed only on professional GPUs, look at the RTX PRO 6000 with 96 GB and ECC.

02Specifications

NVIDIA RTX 5090 and RTX 5080 specifications

The figures NVIDIA publishes for the two RTX 50 series GPUs we fit. Both use the Blackwell architecture, with fifth-generation Tensor Cores and fourth-generation RT Cores.

RTX 5090

Architecture

Blackwell

GPU memory

32 GB GDDR7

CUDA cores

21,760

Memory interface

512-bit

Boost clock

2.41 GHz

Total graphics power

575 W

GPU interface

PCIe Gen 5 x16

Video engines

3 NVENC (9th generation), 2 NVDEC, AV1

Error-correcting memory

No

RTX 5080

Architecture

Blackwell

GPU memory

16 GB GDDR7

CUDA cores

10,752

Memory interface

256-bit

Boost clock

2.62 GHz

Total graphics power

360 W

GPU interface

PCIe Gen 5 x16

Video engines

2 NVENC (9th generation), 2 NVDEC, AV1

Error-correcting memory

No

03Before you order

The PCIe slot your RTX 5090 gets in each machine

Both GPUs are built for PCIe Gen 5. Every platform we put them in is Gen 3 or Gen 4, so the link between GPU and server runs below what the GPU was designed for. Here is what each machine gives it.

Intel Xeon E5-2600 v3/v4

RTX 5090

Slot: PCIe 3.0, 40 lanes per socket. GPU: PCIe Gen 5.

A quarter of the bus the GPU was built for. Avoid it for jobs that cross the slot all the time. For inference, transcoding or rendering a scene that is already loaded, it makes little difference.

Intel Xeon Silver / Gold

RTX 5090, RTX 5080

Slot: PCIe 3.0, 48 lanes per socket. GPU: PCIe Gen 5.

A quarter of the bus the GPU was built for. Avoid it for jobs that cross the slot all the time. For inference, transcoding or rendering a scene that is already loaded, it makes little difference.

AMD EPYC

RTX 5090

Slot: PCIe 4.0, 128 lanes per socket. GPU: PCIe Gen 5.

Half the bus the GPU was built for. You feel it when every training step pulls a new batch from the host. You do not feel it once the model or the scene sits in GPU memory.

We say this up front because it has caught a customer before: an RTX 5090 on a Gen 3 platform rendered slower than the RTX 4090 it replaced. A slower slot only hurts when your job moves data across it all the time, like a training loop that loads a fresh batch from the host every step. Inference, transcoding and game servers barely touch it once everything is loaded. Not sure which yours is? Tell us on chat what you will run and we will point you to the right machine.

04The smaller one

RTX 5080 server: the same generation with 16 GB

The RTX 5080 has the same Blackwell design, the same generation of AV1 encoders and the same PCIe Gen 5 interface, with about half the CUDA cores and half the memory of the RTX 5090.

When the RTX 5080 is enough

Your model fits in 16 GB with room left over: a 7-billion model at 8-bit, or a 13-billion model at 4-bit. Or the job is video, where its two AV1 encoders do the work, or a game server that never fills the GPU’s memory.

When to pay for the RTX 5090

Your model or scene is bigger than 16 GB, or you want the extra memory for longer contexts and more users at once. Twice the memory on a bus twice as wide is the real difference; clock speeds are close.

05Sizing

What fits in 32 GB and in 16 GB of GPU memory

Weights only. Leave room on top for the context and the runtime.

RTX 5090, 32 GB

Weights only, rounded up. Fits means the GPU’s 32 GB holds the weights 1.5× over: room for the KV cache, the activations and the runtime, and the only verdict the LLM sizing page recommends a GPU on. Tight clears 1.25× only: the model loads, and a long context or a second user runs the GPU out of memory.
Model16-bit8-bit4-bit
7-8 billion parameters16 GB: fits8 GB: fits5 GB: fits
13-14 billion parameters28 GB: does not fit14 GB: fits8 GB: fits
30-34 billion parameters68 GB: does not fit34 GB: does not fit19 GB: fits
70 billion parameters140 GB: does not fit70 GB: does not fit38 GB: does not fit

RTX 5080, 16 GB

Weights only, rounded up. Fits means the GPU’s 16 GB holds the weights 1.5× over: room for the KV cache, the activations and the runtime, and the only verdict the LLM sizing page recommends a GPU on. Tight clears 1.25× only: the model loads, and a long context or a second user runs the GPU out of memory.
Model16-bit8-bit4-bit
7-8 billion parameters16 GB: does not fit8 GB: fits5 GB: fits
13-14 billion parameters28 GB: does not fit14 GB: does not fit8 GB: fits
30-34 billion parameters68 GB: does not fit34 GB: does not fit19 GB: does not fit
70 billion parameters140 GB: does not fit70 GB: does not fit38 GB: does not fit

Power is the other limit. One RTX 5090 draws up to 575 W, which is why a second one in the same machine is a build we quote, not an option at checkout. To start from your model and find the GPU it needs, use the LLM memory sizing page.

06Choosing

RTX 5090 server, RTX 4090D or RTX 3090?

These GPUs go into the same machines, so newer is not automatically better for you. Compare memory and the monthly price for your job.

Cheapest complete machine first. Every figure read from the order catalogue when this page was served.
GPUGPU memoryGPU aloneCheapest complete machine
RTX 309024 GB GDDR6X$239$309.93
RTX 508016 GB GDDR7$229$312.67
RTX 4090D24 GB GDDR6X$299$372.47
RTX 509032 GB GDDR7$399$472.47

The RTX 4090D and the RTX 3090 both have 24 GB. They are PCIe Gen 4 GPUs, so the slot costs them less than it costs the RTX 50 series. If your work fits in 24 GB, read the RTX 4090 dedicated server page and the RTX 30 series servers page before you decide.

07Prices

RTX 5090 and RTX 5080 server prices, with the machine

Your invoice shows the GPU on one line and the server on another. Both come from the same order catalogue the checkout uses, and each price below belongs to the machine next to it.

Read from the order catalogue when this page was served. The GPU is a separate line; the machine does not get dearer because of what is plugged into it.
GPUThe machine it goes inGPU aloneComplete, per month
RTX 5080Intel Xeon Silver / Gold
Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps · PCIe 3.0
$229$312.67
Configure this build →
RTX 5090Intel Xeon E5-2600 v3/v4
Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps · PCIe 3.0
$399$472.47
Configure this build →
RTX 5090Intel Xeon Silver / Gold
Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps · PCIe 3.0
$399$482.67
Configure this build →
RTX 5090AMD EPYC
AMD EPYC 7413 24 CORE 2.65 GHz 128MB L3 CACHE · 32 GB DDR4 · 1 × SATA-SSD 240 GB · 1 Gbps · PCIe 4.0
$399$616.59
Configure this build →

Traffic is not metered in either direction and there is no egress fee. Every server comes with an IPv4 address, you pay month to month, and you can leave at the end of any month. To see every GPU we fit, priced the same way, go to all GPU servers with prices.

08Delivery and help

When your RTX 5090 server is ready, and who helps you

Delivery depends on where the GPU is when you order. Ask on chat before you pay and we tell you which of these applies to your build.

  1. About 30 minutes

    Already in a rack

    If a racked machine already has the GPU fitted, you get it about 30 minutes after your order is approved.

  2. 4 to 24 hours

    On our shelf

    We have the GPU in hand and fit it into the server you chose.

  3. 5 to 10 working days

    Ordered for you

    We buy the GPU from a distributor and fit it as soon as it arrives.

Ask anything on our chat, before or after you order. An AI assistant replies in seconds and can check your account and your server, and a person from our team steps in whenever you ask. Machines that are racked and ready now are on instant servers.

09Questions

Questions about renting an RTX 5090 server

01What do I get with an RTX 5090 dedicated server?

A whole physical server with one RTX 5090 inside, rented by the month. The full GPU is passed through to your own operating system, with no hypervisor, no vGPU split and no time-sharing. You install the driver and CUDA version you want, and nothing changes them behind your back.

02Is there an RTX 5090 Server Edition?

No. NVIDIA does not make a server edition of the RTX 5090. Its passively cooled Blackwell GPU for servers is the RTX PRO 6000 Blackwell Server Edition, with 96 GB of memory and ECC. We fit the RTX PRO 6000 too: see the RTX PRO 6000 dedicated server page. The RTX 5090 we rent is NVIDIA’s GeForce part, running in a rack server.

03Will an RTX 5090 run at full speed in your servers?

Its PCIe link will not. The RTX 5090 is a PCIe Gen 5 GPU and our platforms are Gen 3 and Gen 4, so the bus runs at a half or a quarter of its design speed, depending on the machine. That slows training that streams data from the host every step. It makes little difference to inference, transcoding or rendering once the work is loaded into GPU memory. The slot each machine gives is listed on this page.

04How big an AI model can an RTX 5090 server run?

With 32 GB, a 30-billion-parameter model fits at 4-bit and a 13-billion model fits at 8-bit, both with room for the context. A 70-billion model does not fit on one RTX 5090, not even at 4-bit. For bigger models, see the LLM memory sizing page.

05RTX 5090 or RTX 5080: which should I rent?

Rent the RTX 5080 if your model or scene fits in 16 GB with room to spare, or if the job is mostly video. Rent the RTX 5090 when you need more than 16 GB, or want headroom for longer contexts and more users. The price table above shows what each costs with its machine.

06Can I get an RTX 5070 or RTX 5060?

No. The RTX 5090 and the RTX 5080 are the only RTX 50 series GPUs in our order catalogue, and the configurator offers no others. For a smaller, cheaper GPU, compare the rest on all GPU servers with prices.

07Can I put two RTX 5090 GPUs in one server?

Yes, as a build we quote rather than a checkout option. Each one draws up to 575 W, and GeForce RTX 50 GPUs have no NVLink, so two of them are two separate 32 GB pools. Tell us what you plan to run, or see multi-GPU servers.

08How soon can I have an RTX 5090 server?

About 30 minutes after approval if a racked machine already has the GPU, 4 to 24 hours if we have the GPU on the shelf, and 5 to 10 working days if we have to buy it in. Ask on chat before you pay and we tell you which one applies.

Choose your RTX 5090 build and see the monthly total

Every build above is priced with its server. Pick one, set it up the way you want, and the order shows your full monthly price before you pay.