GPU servers · RTX 40 series

RTX 4090 dedicated server and the GPU in it is the RTX 4090D

Our RTX 4090 dedicated server carries the RTX 4090D, the edition NVIDIA made for China: the same 24 GB of GDDR6X and the same memory speed, with about 11% fewer CUDA cores. You rent the whole machine by the month, the full GPU is passed through to your own system, and the port is unmetered.

ad102 / 24 GBSide by side
RTX 4090 and RTX 4090D specifications compared. Rows marked with an arrow are the ones that differ.
FigureRTX 4090RTX 4090D
CUDA cores16,38414,592
Tensor cores512456
Memory24 GB GDDR6X24 GB GDDR6X
Bandwidth1,008 GB/s1,008 GB/s
Boost clock2.52 GHz2.52 GHz
AV1 encoders22
Board power450 W425 W
Complete machine, per month, from$372.47

Have an RTX 40 series GPU sitting idle?

Put the machine on the Primcast marketplace, set your own monthly price, and rent it to people who need the compute.

List it on the marketplace

01RTX 4090D vs RTX 4090

What the D in RTX 4090D means for your work

In late 2023 a United States export rule put the RTX 4090 over the line for sale in China. NVIDIA answered with the RTX 4090D, released on 28 December 2023, with 14,592 CUDA cores where the full GPU has 16,384.

What stays the same

The memory is untouched: 24 GB of GDDR6X on a 384-bit bus at 1,008 GB/s. So is the 2.52 GHz boost clock and the pair of AV1 encoders. Anything limited by memory size or memory speed behaves exactly as it would on a full 4090: a model that fits in 24 GB still fits, and it reads just as fast.

Drivers and software do not notice. It is an Ada Lovelace GeForce GPU, it takes the normal GeForce driver, and every CUDA release, framework and renderer that runs on a 4090 runs on it.

What you give up

About 11% of the shaders and tensor cores. NVIDIA put the real-world gap at about 5% in games and creative apps, because clocks and memory carry much of the load. On work that keeps every shader busy, such as a long render or a training run, plan for up to a tenth less than a full 4090.

We tell you this before you order rather than printing “RTX 4090” and letting you find out later. If your job truly needs the full GPU, ask on chat and we will tell you whether we can source one and how long it takes.

02What it is for

What a 4090 GPU server does well, and where it stops

This is a consumer GPU in a rack. That is what keeps the price down, and it is also where its limits come from.

01Compute per dollar

A lot of compute for the money

GeForce silicon is one of the cheapest ways to rent this much compute. It suits work where a bad result means a rerun, not a disaster: batch rendering, game servers, fine-tuning small models, inference you can repeat.

02Video

It encodes video, the accelerators do not

Two hardware encoders with AV1, plus a decoder, so it can transcode all day. The A100 and H100 further up our catalogue have no video encoder at all. For anything with video in it, this GPU is the right choice, not the compromise. See our transcoding servers for live channel work.

03Memory

The limit is 24 GB

A 13-billion-parameter model fits at 8-bit, the same model at 16-bit does not, and a 70-billion model does not fit at any precision. The sizing table further down is exact about it.

04Long runs

No error-correcting memory

There is no ECC and no certified professional driver. For a run that lasts weeks with no checkpoints, or software whose licence asks for a professional GPU, look at the L40S with 48 GB and ECC instead.

03Specifications

NVIDIA RTX 4090D specifications

The figures for the GPU we fit, from NVIDIA’s RTX 40 series documentation and NVIDIA’s encode and decode support matrix.

RTX 4090D

Architecture

Ada Lovelace

GPU memory

24 GB GDDR6X

CUDA cores

14,592

Memory bandwidth

1,008 GB/s

Board power

425 W

GPU interface

PCIe Gen 4 x16

Hardware video encoders

2 NVENC, 1 NVDEC, AV1

Error-correcting memory

No

04Choosing

RTX 4090 server, RTX 3090 or RTX 5090?

All three are on our shelf today and go into the same machines. So the question is not which one is newest, but which one is worth the difference for your job.

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

The RTX 3090 has the same 24 GB and is the older, slower way to get it. If memory size is what you need and speed matters less, read the RTX 30 series servers page first. The RTX 5090 moves up to 32 GB of GDDR7. It is a PCIe Gen 5 GPU going into Gen 3 and Gen 4 platforms, so read the next section and the RTX 5090 servers page before you assume newer means faster here.

05The machine

Which machine the RTX 4090D goes in, and its PCIe link

The 4090D is a PCIe Gen 4 GPU. Each platform below shows the slot it gets and what that means in practice.

Intel Xeon E5-2600 v3/v4

RTX 4090D

Slot: PCIe 3.0, 40 lanes per socket. GPU: PCIe Gen 4.

About half the bus the GPU was designed for. That costs a training loop streaming batches off the host; it costs an inference server or a transcoder nothing, because the weights are already on the GPU.

Intel Xeon Silver / Gold

RTX 4090D

Slot: PCIe 3.0, 48 lanes per socket. GPU: PCIe Gen 4.

About half the bus the GPU was designed for. That costs a training loop streaming batches off the host; it costs an inference server or a transcoder nothing, because the weights are already on the GPU.

AMD EPYC

RTX 4090D

Slot: PCIe 4.0, 128 lanes per socket. GPU: PCIe Gen 4.

Full width. The slot is at least the generation the GPU was designed for, so nothing is left on the table.

We have seen a customer move to a newer GPU on an older platform and render slower than before. Once the scene or the weights sit in GPU memory, the slot is quiet and its generation stops mattering. It matters when your job pushes data across the slot on every step. Tell us what you will run and we will point you to the right machine.

06Sizing

What fits in 24 GB of GPU memory

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

Weights only, rounded up. Fits means the GPU’s 24 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, tight
70 billion parameters140 GB, does not fit70 GB, does not fit38 GB, does not fit

The other limit is power. One 4090D draws up to 425 W, which is why more than one in a machine is a build we quote, not a box you tick. To work the question the other way round, from your model to the GPU it needs, use the LLM memory sizing page.

07Prices

RTX 4090D server prices, with the machine

The GPU is one line on your invoice and the server is another. Both come from the order catalogue the checkout uses, so every price below belongs to the machine beside 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 inThe GPUComplete, per month
RTX 4090DIntel 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
$299$372.47
Configure this build →
RTX 4090DIntel 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
$299$382.67
Configure this build →
RTX 4090DAMD 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
$299$516.59
Configure this build →

The port is unmetered in both directions, with no egress charge. An IPv4 address comes with the server, there is no contract, and you pay one month at a time. To compare every GPU we fit, priced the same way, see all GPU servers with prices.

08Delivery and help

How soon you get it, and who answers

It depends on where the GPU is when you order. You are told which of these applies before you pay.

  1. About 30 minutes

    Already racked

    A machine with the GPU fitted is standing in a rack. It is yours about 30 minutes after the order is approved.

  2. 4 to 24 hours

    On our shelf

    We fit a GPU we already hold into the server you picked.

  3. 5 to 10 working days

    Bought in

    We order the GPU from a distributor for you, then fit it to your server.

Questions before or after you order go to our chat. An AI assistant answers in seconds and can look up your account and your server, and a person from our team joins whenever you ask. Machines racked and ready right now are on instant servers.

09Questions

Questions about renting an RTX 4090 server

01Is the RTX 4090D the same as an RTX 4090?

Not quite. It is the same AD102 chip with the same 24 GB of GDDR6X, the same 1,008 GB/s and the same boost clock, but with 14,592 CUDA cores instead of 16,384. NVIDIA made it for China after a United States export rule covered the full 4090. It is a genuine NVIDIA GPU, not a rebadge.

02How much slower is the RTX 4090D?

NVIDIA put it at about 5% in games and creative apps. On work that keeps every shader busy, the gap can reach the 11% difference in core count. Anything limited by memory size or memory speed runs the same as on a full 4090.

03Can I get a full RTX 4090 instead?

Not from this page. What we fit is the 4090D, and we say so up front. If your work truly needs the extra shaders, tell us on chat what you will run and we will say whether we can source a full 4090 and how long it would take.

04Does the 4090D work with CUDA, PyTorch and the normal drivers?

Yes. It reports as an Ada Lovelace GeForce GPU and takes the standard GeForce driver. Every CUDA release, framework build and renderer that runs on a 4090 runs on it. The difference is a core count, not an architecture.

05Is the GPU shared with anyone else?

No. You get the full GPU on a machine nobody else uses, passed straight through to your own operating system. There is no hypervisor, no vGPU split and no time-sharing. You install and pin your own driver and CUDA version, and nothing upgrades behind your back.

06Should I rent an RTX 4090D or an RTX 3090 for 24 GB?

If memory size is all you need, the RTX 3090 is often the better buy: same 24 GB, older and usually cheaper per month, as the comparison table shows. The 4090D is clearly faster and adds AV1 encoding, which the 3090 lacks. Pick it when your runs are back to back or you work with video.

07Can I put two RTX 4090D GPUs in one server?

Yes, as a quoted build rather than a checkout option. Each one draws up to 425 W and there is no NVLink, so two of them are two separate 24 GB pools. Tell us what you plan to run and we come back with the machine, or see multi-GPU servers.

08How soon can I have an RTX 4090 dedicated server?

About 30 minutes after approval if a racked machine already carries the GPU, 4 to 24 hours if we hold one on the shelf, and 5 to 10 working days if we buy it in. You are told which applies before you pay. Racked machines are listed on instant servers.

Pick your RTX 4090D build and see the full price

Every build is priced above with its server. Choose one, configure it, and the order shows your monthly total before you pay.