Nvidia RTX 3070
Entry-level Ampere GPU for learning GPU programming.
- Arch
- Ampere
- Memory
- 8 GB GDDR6
- Bandwidth
- 448 GB/s
- Released
- Q4 2020
Price history
Weekly median price per GPU per hour
Aggregating historical prices...
At a glance Updated 10 minutes ago
- Cheapest in stock
- $0.07 /GPU/hr
- on-demand · 4x · Vast.ai
- Median price (current)
- $0.10 /GPU/hr
- on-demand
- 90-day trend
- −21%
- median on-demand
- Coverage
- 4 providers
- 41 price points
Pricing & availability
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:
- Location: datacenter proximity, blended with provider HQ.
- Price: hourly price, per GPU and in total.
- Billing type: reserved ahead of spot, spot ahead of quote-only.
- Specs: more VRAM, vCPUs and RAM.
- 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.
Vast.ai
In stock
USA
34 configs
1x-4x
Runpod
In stock
USA
3 configs
1x-4x
Theta EdgeCloud
In stockNo providers match .
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 can the RTX 3070 run?
One RTX 3070 has 8 GB of VRAM. Even at 4-bit, the weights of most modern AI models exceed the card's usable VRAM, and context adds KV cache on top. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
Single node ≤ 8
Multi-node
| Model | Memory (INT4 / FP4) | RTX 3070s needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
Qwen3.8-27B
27B
|
19 GB
|
4
|
$0.40
|
$288
|
Gemma 4 31B
30.7B
|
24 GB
|
4
|
$0.40
|
$288
|
GPT-OSS-120B
117B · 5.1B active
|
68 GB
|
10
|
–
|
–
|
GLM-5.3-Flash
320B · 18B active
|
178 GB
|
25
|
–
|
–
|
MiniMax-M3
428B · 23B active
|
241 GB
|
34
|
–
|
–
|
DeepSeek V4.1 Flash
552B · 16B active
|
306 GB
|
43
|
–
|
–
|
Kimi K3
2.8T · 104B active
|
1,545 GB
|
215
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP16/BF16 KV cache at 32K context per request. 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 3070 · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 40.6 TFLOPS 81.3 with sparsity |
| INT8 | 162.6 TOPS 325.2 with sparsity |
| FP32 | 20.3 TFLOPS |
| Precision support | FP16BF16TF32FP32INT4INT8 |
| Memory | |
|---|---|
| Capacity | 8 GB GDDR6 |
| Bandwidth | 448 GB/s |
| Bus width | 256-bit |
| ECC | No |
| Silicon | |
|---|---|
| Architecture | Ampere |
| Process | Samsung 8N |
| Transistors | 17.4 billion |
| Shader cores | 5,888 CUDA cores |
| Matrix cores | 184 Tensor cores |
| Compute units | 46 SMs |
| Fabric and host | |
|---|---|
| Host interface | PCIe 4.0 |
| Power | |
|---|---|
| Board power | 220 W |
| Cooling | Active |
Source: official Nvidia RTX 3070 datasheet.
Frequently Asked Questions
How much does the RTX 3070 cost per hour?
-
As of September 13, 2026, the median on-demand price is $0.10 per GPU per hour across 4 providers.
Billing type Configs Median /GPU/hr Cheapest On-demand
22
$0.10
$0.07 (in stock, Vast.ai)
Reserved
6
$0.11 (12 mo, in stock, Vast.ai)
Spot
13
$0.04
No median for reserved and spot: we only show this when at least 3 providers list the GPU on that billing type.
Who has the cheapest RTX 3070?
How much does the RTX 3070 cost per month?
-
At 720 hours per month, one RTX 3070 costs an estimated $72 at the median on-demand price. Cheapest verified in stock: $50 per month on-demand, $79 reserved (12 mo), $36 spot.
Where can I rent an RTX 3070?
-
GetDeploying currently tracks RTX 3070 configs from 4 providers. The cheapest verified in-stock on-demand configs come from Vast.ai, Theta EdgeCloud, Salad and Runpod. See the full price comparison above for every provider and config.
Are RTX 3070 prices going up or down?
-
As of September 13, 2026, the median on-demand price has fallen about 21% over the past 90 days to $0.10 per GPU per hour, though it is about the same as a year ago.
How many RTX 3070 GPUs do I need?
-
More than one: even at 4-bit, the weights of most modern AI models exceed one RTX 3070's usable VRAM, and context adds KV cache on top. 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 3070?
-
8GB GDDR6 with Ampere Tensor Cores. Low-cost entry point for learning GPU computing and basic inference.
When is the RTX 3070 not a good fit?
-
8GB VRAM is insufficient for most AI models at FP16. Better suited for learning and prototyping than production use.
Alternatives to Nvidia RTX 3070
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