consumer
租用 Nvidia RTX 4090.
Ada Lovelace
24GB VRAM
450W
Price history
Daily median across providers.
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Where to rent it
All providers carrying this GPU.
No fresh prices yet.
Workloads
Suitable workloads.
FAQ
Frequently asked.
How is the Nvidia RTX 4090 price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia RTX 4090 cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia RTX 4090?
Depends on the model size. With 24GB of VRAM you can fine-tune 13B–34B models with LoRA, or run inference on 70B models at int4 quantization.
Spot vs on-demand on the Nvidia RTX 4090 — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia RTX 4090?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia RTX 4090 price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.
AI models
INT4
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
INT4
INT4
INT4
INT4
NF4
FP8
Models that run on this GPU.
GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the Nvidia RTX 4090.
Gemma 3 27B
by Google DeepMind
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
27B (27B active)
Context
128K tokens
Snug fit, recommended for hobbyist self-hosting
Llama 3.2 11B Vision
by Meta AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
11B
Context
128K tokens
Qwen 2.5 Coder 32B
by Alibaba (Qwen Team)
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
33B
Context
128K tokens
24GB just enough — try int8 if OOM
DeepSeek R1 Distill Qwen 14B
by DeepSeek
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
15B
Context
128K tokens
Fits with room for context.
DeepSeek R1 Distill Qwen 7B
by DeepSeek
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
8B
Context
128K tokens
Whisper Large v3
by OpenAI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
2B
Context
30 tokens
Real-time transcription with headroom.
FLUX.1 Dev
by Black Forest Labs
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
12B
Sweet spot for FLUX.1 Dev.
FLUX.1 Schnell
by Black Forest Labs
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
12B
<2s per image with 4-step distillation.
Stable Diffusion 3.5 Large
by Stability AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
8B
Stable Diffusion 3.5 Medium
by Stability AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
3B
Llama 3.1 8B
by Meta AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
8B
Context
128K tokens
Comfortable single-GPU local target.
Mistral 7B v0.3
by Mistral AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
7B
Context
33K tokens
Stable Diffusion XL
by Stability AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
4B
Mistral 7B v0.2
by Mistral AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
7B
Context
33K tokens
Mixtral 8x22B
by Mistral AI
Required GPUs
4× Nvidia RTX 4090
Total VRAM
96 GB
Parameters
141B (39B active)
Context
66K tokens
Qwen 2.5 72B
by Alibaba (Qwen Team)
Required GPUs
4× Nvidia RTX 4090
Total VRAM
96 GB
Parameters
73B
Context
128K tokens
Llama 3.3 70B
by Meta AI
Required GPUs
4× Nvidia RTX 4090
Total VRAM
96 GB
Parameters
70B
Context
128K tokens
Quantized only — consumer multi-GPU
DeepSeek R1 Distill Qwen 32B
by DeepSeek
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
33B
Context
128K tokens
FLUX.1 Dev
by Black Forest Labs
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
12B
Halves VRAM, ~95% quality.
Stable Diffusion 3.5 Large
by Stability AI
Required GPUs
1× Nvidia RTX 4090
Total VRAM
24 GB
Parameters
8B
FP8 cuts VRAM by half.
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →
FAQ
AI models on this GPU.
How is the Nvidia RTX 4090 price calculated?
We pull live listings from each provider's public API, take the median hourly rate across active offers, and refresh every hour. The rate shown is the median, so a single low-ball spot offer can't distort the headline.
Why does the Nvidia RTX 4090 cost different amounts on different providers?
P2P marketplaces like Vast.ai aggregate offers from individual hosts who set their own rates — bidding pushes prices down. First-party clouds (Lambda, hyperscalers) charge a managed-service premium for support, SLAs, and integrated networking. Decentralized networks (io.net, Akash) settle in tokens, which adds volatility but often the lowest base rate.
Can I really train an LLM on a single Nvidia RTX 4090?
Depends on the model size. With 24GB of VRAM you can fine-tune 13B–34B models with LoRA, or run inference on 70B models at int4 quantization.
Spot vs on-demand on the Nvidia RTX 4090 — which should I rent?
On-demand keeps the same instance until you stop it; spot (or interruptible) is cheaper but the host can reclaim it when a higher-paying job lands. Use on-demand for training runs and anything stateful. Use spot for stateless inference, batch jobs, and experiments where a checkpoint every few minutes is enough to recover.
How is hourly billing measured for the Nvidia RTX 4090?
Most providers bill per-second once the instance is running, with a small minimum (often 60 seconds). A handful of first-party clouds round up to the minute. Either way, headline $/hr is the right comparison unit.
Does the region of the host affect the Nvidia RTX 4090 price?
Yes — US and EU regions usually carry a premium over LATAM, India, and parts of APAC, especially on first-party clouds. P2P marketplaces hide this behind one global price because supply moves wherever bids exist.