Rent RTX 3070
Check the latest offers below
📊 Pricing at a Glance
No live on-demand availability right now. No provider with live stock tracking reports RTX 3070 in stock. Last seen from $0.13/GPU/hr on Vast.ai (listed on-demand pricing, not verified in stock).
GPUPerHour tracks 1 listing for RTX 3070 from 1 provider, none of which is confirmed in stock on-demand right now. They are listed below as last-seen pricing.
Looking for a specific provider? See Vast.ai RTX 3070.
Available Offers
No on-demand offer is reported in stock by a provider with live stock tracking right now.
Other Tracked Listings (Last-Seen Pricing)
1 further listing GPUPerHour tracks for this GPU. These catalog rows do not qualify as current secure on-demand offers; stock observations may be missing or old. They are not confirmed in stock; check availability with the provider.
| Provider | Listed per GPU / hr | Pricing type | Availability |
|---|---|---|---|
| Vast.ai | $0.13 | on-demand | Check provider |
RTX 3070 Availability Now
No provider with live stock tracking reports RTX 3070 in stock on-demand right now. Stock is rechecked every minute; tracked catalog listings are shown above as last-seen pricing.
RTX 3070 Price History (daily)
The daily RTX 3070 price series has no captured day yet. Prices are captured every day at 00:05 UTC from secure on-demand offers reported in stock; the first row appears here after the first capture. See the Cloud GPU Price Index for the method.
Notify me when RTX 3070 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.
RTX 3070 Catalog Listing History (30 days)
Catalog listings, not live prices.
These averages are of every tracked catalog listing, including spot, reserved, out-of-stock and older rows. They do not measure live on-demand prices or availability (the daily price history table above does that) and cannot establish savings against the current offers. Each day averages its recorded catalog snapshots; the median gives each day equal weight. Missing days are excluded.
| Lowest daily catalog average | $0.19/GPU/hr |
|---|---|
| Median of daily catalog averages | $0.19/GPU/hr |
| Days with recorded catalog prices | 30 of 30 |
| Latest catalog snapshot | October 18, 2026 |
QuantaCloud
Need GPUs at scale?
Building out an inference fleet or training cluster? QuantaCloud brokers reserved capacity across multiple data center partners. 16+ GPUs, flexible terms, custom quote in 24 hours.
Technical Specifications
Strengths & Limitations
- Excellent price-to-performance ratio, making it a cost-effective option for various workloads.
- Strong gaming performance at 1440p and 4K resolutions.
- Suitable for AI inference tasks, especially for smaller models and batch processing.
- Supports NVIDIA's RTX features like ray tracing and DLSS.
- Lower power consumption compared to higher-end GPUs.
- Limited memory capacity (8GB) may be a bottleneck for some memory-intensive tasks.
- Not ideal for training large AI models due to limited memory and compute resources.
- Performance may be limited in certain professional applications compared to workstation-grade GPUs.
- GDDR6 memory is slower than GDDR6X found in higher-end RTX 30 series cards.
Top Use Cases
Provides a smooth and immersive gaming experience for demanding titles at high resolutions and frame rates. The RTX 3070's ray tracing and DLSS capabilities enhance visual fidelity and performance.
Suitable for deploying AI models for inference tasks, such as image recognition, object detection, and natural language processing. Can handle moderate batch sizes and model complexities.
Accelerates content creation workflows, including video editing, 3D rendering, and graphic design. Offers improved performance compared to CPU-based rendering.
Real-World Benchmark
Market Analysis
Generated market commentary, not current pricing. Live prices and stock are in the sections above.
The NVIDIA GeForce RTX 3070 occupies a sweet spot in the cloud GPU market, offering a compelling balance of performance and cost.
Frequently Asked Questions
Is the RTX 3070 suitable for deep learning training?â–¾
While the RTX 3070 can be used for deep learning training, its limited memory capacity (8GB) may restrict the size and complexity of models that can be trained. It is better suited for smaller models, transfer learning, or fine-tuning pre-trained models. For large-scale training, GPUs with more memory, such as the A100, are recommended.
What are the advantages of using the RTX 3070 over a CPU for AI inference?â–¾
The RTX 3070 offers significantly higher throughput and lower latency for AI inference compared to CPUs. Its parallel processing architecture allows it to perform many calculations simultaneously, resulting in faster inference times. This is particularly beneficial for real-time applications where low latency is critical.
Does the RTX 3070 support NVIDIA's CUDA toolkit?â–¾
Yes, the RTX 3070 fully supports NVIDIA's CUDA toolkit, which provides developers with the tools and libraries needed to develop and deploy GPU-accelerated applications. This includes libraries for deep learning, linear algebra, and signal processing.
Alternative GPUs
Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is checked periodically from 1 cloud providers tracking this GPU.