Nvidia A10G
AWS-optimized GPU for inference, rendering, and video transcoding.
- Arch
- Ampere
- Memory
- 24 GB GDDR6
- Bandwidth
- 600 GB/s
- Released
- Q2 2021
Price history
Weekly median price per GPU per hour
At a glance Updated 2 hours ago
- Cheapest
- $1.00 /GPU/hr
- on-demand · not verified in stock
- Median price (current)
- --
- 90-day trend
- --
- Coverage
- 2 providers
- 28 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.
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 A10G run?
One A10G has 24 GB of VRAM. In practice, that's enough memory for roughly 21B parameters at 4-bit or 6B 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) | A10Gs needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
|
|
19 GB
|
1
|
–
|
–
|
|
|
24 GB
|
4
|
–
|
–
|
|
|
68 GB
|
4
|
–
|
–
|
|
|
178 GB
|
9
|
–
|
–
|
|
|
241 GB
|
12
|
–
|
–
|
|
|
306 GB
|
15
|
–
|
–
|
|
|
1,545 GB
|
72
|
–
|
–
|
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 A10G · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 70 TFLOPS 140 with sparsity |
| INT8 | 140 TOPS 280 with sparsity |
| FP32 | 35 TFLOPS |
| Precision support | FP16BF16TF32FP32INT4INT8 |
| Memory | |
|---|---|
| Capacity | 24 GB GDDR6 |
| Bandwidth | 600 GB/s |
| Silicon | |
|---|---|
| Architecture | Ampere |
| Process | Samsung 8N |
| Transistors | 28.3 billion |
| Shader cores | 10,240 CUDA cores |
| Matrix cores | 320 Tensor cores |
| Compute units | 80 SMs |
| Fabric and host | |
|---|---|
| Host interface | PCIe 4.0 x16 |
| Power | |
|---|---|
| Board power | 300 W |
| Cooling | Passive |
Source: official Nvidia A10G datasheet.
Frequently Asked Questions
How much does the A10G cost per hour?
As of September 14, 2026, we track 28 configs from 2 providers. Prices are per GPU per hour.
| Billing type | Configs | Cheapest |
|---|---|---|
On-demand | 12 | $1.00 |
Reserved | 16 | $0.43 (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 A10G?
The lowest listed on-demand price for the A10G is $1.00 per GPU per hour from Hugging Face, though we haven't verified current stock.
Where can I rent an A10G?
GetDeploying currently tracks A10G configs from 2 providers. See the full price comparison above for every provider and config.
How many A10G GPUs do I need?
One A10G runs models up to roughly 21B parameters at 4-bit quantization or 6B 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 A10G?
24GB GDDR6, AWS-optimized variant of the A10. Good for inference, graphics rendering, and video transcoding on AWS. Widely available on G5 instances.
Alternatives to Nvidia A10G
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