Nvidia RTX 4090

Nvidia RTX 4090

Top Ada Lovelace consumer GPU for local AI research and rendering.

Compare vs other GPUs →
Aggregating historical prices...

Weekly median price per GPU per hour. Nvidia RTX 4090 price history (JSON).

At a glance

Hardware

Architecture
Ada Lovelace
Memory per GPU
24 GB GDDR6X
Memory bandwidth
1,010 GB/s
Release date
Q4 2022

Market Updated 2 minutes ago

Cheapest in stock
$0.29 / GPU / hr
on-demand · 2x · GPU.ai
Median price
$0.44 / GPU / hr
on-demand
90-day trend
−11%
median on-demand
Coverage
17 providers
192 of 247 configs in stock

RTX 4090 Pricing and Availability

17 providers

How this list works

The two views

By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.

Order

What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.

Within a group, five factors set the order:

  1. Location: datacenter proximity, blended with provider HQ.
  2. Price: hourly price, per GPU and in total.
  3. Billing type: reserved ahead of spot, spot ahead of quote-only.
  4. Specs: more VRAM, vCPUs and RAM.
  5. Provider diversity: a provider's repeat rows rank slightly lower, so one company can't take all the top spots.

Search

We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.

Transparency and funding

  • Ads and sponsors: Paid placements sit at the top of the list and are always labeled as sponsored content. Sponsorship never influences the organic ranking itself.
  • Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
  • Prices: Shown in USD, converted at daily reference rates where a provider publishes in another currency. A month means 720 hours. How we estimate costs.
Runpod logo

Runpod

Our sponsor

United States of America flag USA 7 configs 1x-8x

On-Demand from $0.34 Reserved on request
From $0.34 / GPU / hr On-Demand Visit website
Vast.ai logo

Vast.ai

In stock

United States of America flag USA 151 configs 1x-16x

On-Demand from $0.30 Reserved from $0.24 Spot from $0.15
From $0.30 / GPU / hr On-Demand Visit website
Packet·ai logo

Packet·ai

In stock

United States of America flag USA 1 config 1x

On-Demand from $0.39
From $0.39 / GPU / hr On-Demand Visit website
Novita logo

Novita

In stock

United States of America flag USA 20 configs 1x-8x

On-Demand from $0.33 Reserved from $0.27 Spot from $0.17
From $0.33 / GPU / hr On-Demand Visit website
Oblivus logo

Oblivus

In stock

United States of America flag USA 28 configs 1x-8x

On-Demand from $0.64 Reserved from $0.44
From $0.64 / GPU / hr On-Demand PCIe Visit website
Runcrate logo

Runcrate

In stock

United States of America flag USA 1 config 1x

On-Demand from $0.66
From $0.66 / GPU / hr On-Demand PCIe Visit website
Sesterce logo

Sesterce

In stock

France flag France 7 configs 1x-8x

On-Demand from $0.66
From $0.66 / GPU / hr On-Demand Visit website
GPU.ai logo

GPU.ai

In stock

United Arab Emirates flag UAE 6 configs 1x-12x

On-Demand from $0.29
From $0.29 / GPU / hr On-Demand Visit website
Spheron logo

Spheron

In stock

Singapore flag Singapore 2 configs 1x-2x

On-Demand from $0.77
From $0.77 / GPU / hr On-Demand PCIe Visit website
Salad logo

United States of America flag USA 2 configs 1x

On-Demand from $0.30 Spot from $0.16
From $0.30 / GPU / hr On-Demand Visit website
BreezeHost logo

United States of America flag USA 1 config 1x

On-Demand from $0.35
From $0.35 / GPU / hr On-Demand Visit website
Beam logo

United States of America flag USA 1 config 1x

On-Demand from $0.44
From $0.44 / GPU / hr On-Demand PCIe Visit website
TensorDock logo

United States of America flag USA 1 config 1x

On-Demand from $0.46
From $0.46 / GPU / hr On-Demand Visit website
SwissGPU logo

Switzerland flag Switzerland 1 config 1x

On-Demand from $0.49
From $0.49 / GPU / hr On-Demand Visit website
GPUhub logo

Singapore flag Singapore 4 configs 1x-8x

On-Demand from $0.44
From $0.44 / GPU / hr On-Demand Visit website
Database Mart logo

United States of America flag USA 8 configs 1x-2x

Reserved from $0.30
From $0.30 / GPU / hr Reserved (24mo) Visit website
Cloudzy logo

Cloudzy

Out of stock

United Arab Emirates flag UAE 6 configs 1x-4x

On-Demand from $1.16 Reserved from $1.08
From $1.16 / GPU / hr On-Demand PCIe Visit website

Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.

What size AI models can the RTX 4090 run?

One RTX 4090 has 24 GB of VRAM. In practice, that's enough memory for roughly 28B parameters at 4-bit or 6B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.

Model Parameters 4-bitINT4 / FP4 8-bitFP8 / INT8 16-bitFP16 / BF16
Alibaba Cloud logo Qwen3.8-27B
27B
1 GPU 18 GB VRAM · $317/mo
2 GPUs 30 GB VRAM · $634/mo
4 GPUs 58 GB VRAM · $1,267/mo
Google Cloud logo Gemma 4 31B
30.7B
1 GPU 22 GB VRAM · $317/mo
2 GPUs 35 GB VRAM · $634/mo
4 GPUs 69 GB VRAM · $1,267/mo
OpenAI logo GPT-OSS-120B
117B 5.1B active
4 GPUs 67 GB VRAM · $1,267/mo
6 GPUs 120 GB VRAM · $1,901/mo
11 GPUs 237 GB VRAM
DeepSeek logo DeepSeek V4 Flash
284B 13B active
8 GPUs 160 GB VRAM · $2,534/mo
14 GPUs 287 GB VRAM
27 GPUs 573 GB VRAM
Z.AI logo GLM-5.3-Flash
320B 18B active
9 GPUs 178 GB VRAM
15 GPUs 322 GB VRAM
30 GPUs 642 GB VRAM
MiniMax logo MiniMax-M3
428B 23B active
12 GPUs 239 GB VRAM
20 GPUs 432 GB VRAM
40 GPUs 862 GB VRAM
Moonshot AI logo Kimi K3
2.8T 104B active
72 GPUs 1,544 GB VRAM
130 GPUs 2,804 GB VRAM
260 GPUs 5,605 GB VRAM

Estimates based on the median on-demand rate. Memory is weights plus FP8 KV cache at 32K context per request (FP16/BF16 in the 16-bit column). GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

Technical Specifications

Nvidia RTX 4090 · Per GPU

Compute · dense
FP8 330.3 TFLOPS 660.6 with sparsity
FP16 / BF16 165.2 TFLOPS 330.4 with sparsity
INT8 660.6 TOPS 1,321.2 with sparsity
FP32 82.6 TFLOPS
Precision support FP8FP16BF16TF32FP32INT4INT8
Memory
Capacity 24 GB GDDR6X
Bandwidth 1,010 GB/s
Bus width 384-bit
ECC No
Silicon
Architecture Ada Lovelace
Process TSMC 4N
Transistors 76.3 billion
Shader cores 16,384 CUDA cores
Matrix cores 512 Tensor cores
Compute units 128 SMs
Fabric and host
Host interface PCIe 4.0
Power
Board power 450 W
Cooling Active

Source: official Nvidia RTX 4090 datasheet.

Frequently Asked Questions

How much does the RTX 4090 cost per hour?

As of September 8, 2026, the median on-demand price is $0.44 per GPU per hour across 15 providers with a priced on-demand config.

Billing type Configs Median / GPU / hr Cheapest
On-demand 99 $0.44 $0.29 (in stock, GPU.ai)
Reserved 94 $0.37 $0.24 (48 mo, in stock, Vast.ai)
Spot 54 $0.17 $0.15 (in stock, Vast.ai)

Who has the cheapest RTX 4090?

As of September 8, 2026, the cheapest verified in-stock on-demand RTX 4090 tracked by GetDeploying is $0.29 per GPU per hour from GPU.ai. Cheapest verified in stock on other billing types: reserved $0.24 (48 mo) and spot $0.15, both from Vast.ai.

How much does the RTX 4090 cost per month?

As of September 8, 2026, at 720 hours per month, one RTX 4090 costs an estimated $317 at the median on-demand price. Cheapest verified in stock: $209 per month on-demand, $173 reserved (48 mo), $108 spot.

Where can I rent an RTX 4090?

GetDeploying currently tracks RTX 4090 configs from 17 providers. The cheapest verified in-stock on-demand configs come from GPU.ai, Vast.ai, Novita and Runpod. See the full price comparison above for every provider and config.

Are RTX 4090 prices going up or down?

As of September 8, 2026, the median on-demand price has fallen about 11% over the past 90 days to $0.44 per GPU per hour, and about 14% over the past 12 months.

How many RTX 4090 GPUs do I need?

One RTX 4090 runs models up to roughly 28B parameters at 4-bit quantization or 6B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.

Why choose the RTX 4090?

24GB GDDR6X with Ada Lovelace FP8 Tensor Cores. Highest-performing consumer GPU of the Ada generation. Can run 13B parameter models at FP16 or 30B+ quantized. Popular for AI research and Stable Diffusion.

When is the RTX 4090 not a good fit?

Consumer GeForce GPU. No ECC memory. 24GB VRAM is limiting for larger LLMs. Subject to Nvidia's consumer EULA, which may restrict data center use. For production inference, consider the L40S.

Alternatives to Nvidia RTX 4090

Last updated