Nvidia T4G
T4 variant optimized for AWS Graviton ARM-based instances.
- Arch
- Turing
- Memory
- 16 GB GDDR6
- Bandwidth
- 320 GB/s
- Released
- Q3 2020
Price history
Weekly median price per GPU per hour
At a glance Updated 1 hour ago
- Cheapest
- $0.42 /GPU/hr
- on-demand · not verified in stock
- Median price (current)
- --
- 90-day trend
- --
- Coverage
- 1 provider
- 18 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.
No 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 T4G run?
One T4G has 16 GB of VRAM. In practice, that's enough memory for roughly 8B parameters at 4-bit or 2B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
| Model | Memory (INT4 / FP4) | T4Gs needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
|
|
19 GB
|
2
|
–
|
–
|
|
|
24 GB
|
2
|
–
|
–
|
|
|
68 GB
|
5
|
–
|
–
|
|
|
178 GB
|
13
|
–
|
–
|
|
|
241 GB
|
17
|
–
|
–
|
|
|
306 GB
|
22
|
–
|
–
|
|
|
1,545 GB
|
108
|
–
|
–
|
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 T4G · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 65 TFLOPS |
| INT8 | 130 TOPS |
| FP32 | 8.1 TFLOPS |
| Precision support | FP16FP32INT4INT8 |
| Memory | |
|---|---|
| Capacity | 16 GB GDDR6 |
| Bandwidth | 320 GB/s |
| Bus width | 256-bit |
| Silicon | |
|---|---|
| Architecture | Turing |
| Process | TSMC 12nm FFN |
| Transistors | 13.6 billion |
| Shader cores | 2,560 CUDA cores |
| Matrix cores | 320 Tensor cores |
| Compute units | 40 SMs |
| Fabric and host | |
|---|---|
| Host interface | PCIe 3.0 x16 |
| Power | |
|---|---|
| Board power | 70 W |
Source: official Nvidia T4G datasheet.
Frequently Asked Questions
How much does the T4G cost per hour?
-
As of September 13, 2026, we track 18 configs from 1 provider. Prices are per GPU per hour.
Billing type Configs Cheapest On-demand
6
$0.42
Reserved
12
$0.18 (36 mo)
No median for on-demand and reserved: we only show this when at least 3 providers list the GPU on that billing type.
Who has the cheapest T4G?
-
The lowest listed on-demand price for the T4G is $0.42 per GPU per hour from Amazon Web Services, though we haven't verified current stock.
Where can I rent a T4G?
-
GetDeploying currently tracks T4G configs from 1 provider. See the full price comparison above for every provider and config.
How many T4G GPUs do I need?
-
One T4G runs models up to roughly 8B parameters at 4-bit quantization or 2B 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 T4G?
-
16GB GDDR6, AWS Graviton-optimized T4 variant. Low-cost inference on ARM-based instances. Good for lightweight models and video processing.
When is the T4G not a good fit?
-
Same Turing limitations as T4. ARM ecosystem may have compatibility gaps. Limited to AWS Graviton instances.
Alternatives to Nvidia T4G
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