Vast.aiIn stock
On-Demand from $0.14
From
$0.14 / GPU / hr
On-Demand · California, USVisit website →
Rental price index
NVIDIA RTX 3090
🎮Two generations old, 24 GB, the cheapest way to rent that much memory.
Prices collected 2026-10-11 · 7 providers, 63 configurations
On-demandSpot
Index median price per GPU per hour, by billing type. Nothing is interpolated.
At a glance
Median on-demand
$0.22/GPU/hr
Cheapest on-demand
$0.14Vast.ai
Vast.aiFloor, any billing
$0.09incl. spot
Per month at 720h
$158
NVIDIA RTX 3090 pricing by provider
One card per provider, cheapest first. A configuration is one priced unit — an instance type, a SKU, a marketplace offer — and the per-GPU price is that unit's price divided by its GPU count. Open a card to see every configuration with its vCPU, RAM and region where the provider publishes them.
7 providers · 62 configurations
GPU.aiIn stock
AEUAE1 config1xcollected 2026-10-11
On-Demand from $0.14
From
$0.14 / GPU / hr
On-DemandVisit website →
SaladCloudIn stock
USUSA1 config1xcollected 2026-10-11
On-Demand from $0.17Spot from $0.09
From
$0.17 / GPU / hr
On-DemandVisit website →
RunPod Community CloudIn stock
USUSA1 config1xcollected 2026-10-11
On-Demand from $0.22
From
$0.22 / GPU / hr
On-DemandVisit website →AkashIn stock
USUSA1 config1xcollected 2026-10-11
On-Demand from $0.22
From
$0.22 / GPU / hr
On-DemandVisit website →
io.netIn stock
USUSA1 config1xcollected 2026-10-11
On-Demand from $0.25
From
$0.25 / GPU / hr
On-DemandVisit website →
RunPod Secure CloudIn stock
USUSA1 config1xcollected 2026-10-11
On-Demand from $0.50
From
$0.50 / GPU / hr
On-DemandVisit website →Recent price changes
Every time a provider's median for the NVIDIA RTX 3090 moved between two consecutive snapshots. A listing appearing or vanishing is not a price change and is not shown.
| When | Provider | From | To | Change |
|---|---|---|---|---|
| 2026-10-11 09:14 | GPU.ai | $0.32 | $0.14 | -55.6% |
| 2026-10-10 08:53 | GPU.ai | $0.15 | $0.32 | +110% |
| 2026-10-10 08:53 | Vast.ai | $0.26 | $0.24 | -6.4% |
| 2026-10-09 09:31 | GPU.ai | $0.32 | $0.15 | -53.1% |
| 2026-10-09 09:31 | Vast.ai | $0.23 | $0.26 | +14.6% |
| 2026-10-08 09:24 | GPU.ai | $0.15 | $0.32 | +113.3% |
| 2026-10-08 09:24 | $0.17 | $0.22 | +29.4% | |
| 2026-10-08 09:24 | Vast.ai | $0.21 | $0.23 | +5.5% |
| 2026-10-07 09:10 | GPU.ai | $0.16 | $0.15 | -6.3% |
| 2026-10-07 09:10 | Vast.ai | $0.23 | $0.21 | -5.8% |
Spot, reserved and where it is cheapest
Spot median
$0.0959% off · 1 providers
Reserved median
—mostly by quote
UAE providers
$0.14median of 1
USA providers
$0.23median of 6
What fits on a NVIDIA RTX 3090
Weights + KV cache at 8K context + runtime overhead, against 22 GB usable of the 24 GB on the card. Capacity follows total parameters, even for mixture-of-experts models — any expert may be needed next. Where one card is not enough, the table says how many are, and prices the set at today's median.
| Model | Params | 4-bit | 8-bit | 16-bit |
|---|---|---|---|---|
| 2.8T104B active | 74× GPU$16.28/hr | 139× GPU$30.58/hr | 260× GPU$57.20/hr | |
| 552B16B active | 15× GPU$3.30/hr | 28× GPU$6.16/hr | 52× GPU$11.44/hr | |
 Llama 4 Maverick | 400B17B active | 11× GPU$2.42/hr | 20× GPU$4.40/hr | 38× GPU$8.36/hr |
 gpt-oss-120b | 117B5.1B active | 4× GPU$0.88/hr | 6× GPU$1.32/hr | 11× GPU$2.42/hr |
| Llama 3.1 70B | 70B | 3× GPU$0.66/hr | 4× GPU$0.88/hr | 7× GPU$1.54/hr |
 Gemma 4 31B | 31B | ✓ 21.2 GB~43 tok/s · $1.42/M tok | 2× GPU$0.44/hr | 4× GPU$0.88/hr |
 Qwen3 Coder 30B-A3B | 30.5B3.3B active | ✓ 19 GB~403 tok/s · $0.15/M tok | 2× GPU$0.44/hr | 3× GPU$0.66/hr |
| Qwen3.8 27B | 27B | ✓ 18.7 GB~49 tok/s · $1.25/M tok | 2× GPU$0.44/hr | 3× GPU$0.66/hr |
| gpt-oss-20b | 21B3.6B active | ✓ 13.7 GB~370 tok/s · $0.17/M tok | 2× GPU$0.44/hr | 3× GPU$0.66/hr |
| Llama 3.1 8B | 8B | ✓ 6.9 GB~166 tok/s · $0.37/M tok | ✓ 10.9 GB~88 tok/s · $0.69/M tok | ✓ 18.4 GB~47 tok/s · $1.3/M tok |
tok/s is decode throughput from memory bandwidth, derated 20%, single stream — an estimate, not a benchmark. $/M tok is the hourly median divided by that rate: the one-user floor for a million generated tokens. Set cost uses today's median × GPUs required. Across every GPU we price, the RTX 3090 is the cheapest way to hold Kimi K3, DeepSeek V4.1-Flash, Llama 4 Maverick, Gemma 4 31B, Qwen3 Coder 30B-A3B, Qwen3.8 27B at 4-bit.
Buy or rent a RTX 3090?
Approx. list price
$1,499not tracked
Rent, per month
$158at median, 720 h
Break-even
6,814 h≈ 9.5 months
Rent for fewer than about 9.5 months of continuous use and renting wins on the card alone; past that, owning does — before the server, power, cooling and the person who keeps it running, which for a datacenter card are not small. The list price is a typical quoted figure and is not tracked by the index. Thinking of owning one? What the RTX 3090 runs locally.
Specifications
Memory24 GB GDDR6X
Memory bandwidth936 GB/s
ArchitectureAmpere
VendorNVIDIA
ClassConsumer
Released2020-09
Bandwidth is listed because it governs generation speed: each token streams the active weights once, so tokens per second is bandwidth divided by bytes read. TFLOPs decide prompt processing and training, not how fast text appears.
Alternatives and comparisons
NVIDIA RTX 409024 GB · $0.48/hr median · 13 providersNVIDIA RTX 509032 GB · $0.81/hr median · 10 providersNVIDIA RTX 408016 GB · $0.27/hr median · 6 providers
Questions
How much does it cost to rent a NVIDIA RTX 3090?
As of 2026-10-11, the median on-demand price across 7 providers is $0.22 per GPU-hour, about $158 a month at 720 hours. The cheapest we saw was $0.14 at Vast.ai.
Why do prices for the same GPU vary so much?
Hyperscalers bundle CPU, RAM and network into an instance price and charge for the ecosystem around it. Neoclouds sell the GPU more directly. Marketplaces are independent hosts competing on price, with the trade-offs of shared, third-party hardware. The per-GPU figure is the instance price divided by GPU count, which is the only way to compare an 8-GPU node with a single-card listing.
Is the median the price I will pay?
No — it is the middle of the market. Each provider's own median is taken first so a provider with many instance sizes counts once, then the median across providers. Spot and reserved rates are excluded from it; they set the floor shown separately. Use it to judge whether a quote is high or low, then verify with the provider.
Which models can a NVIDIA RTX 3090 run?
With 24 GB per GPU, the table above shows which reference models fit on one card at 4, 8 and 16-bit, using the same memory arithmetic as the rest of Runyard: weights plus KV cache plus runtime overhead, with capacity following total parameters even for mixture-of-experts models. Where a model needs more than one GPU it says how many and what that set costs at today's median.
Own the hardware instead? Work out what your card holds with the same arithmetic.
Check what fits →