Nvidia A30
Mid-range data center GPU with MIG support for partitioned inference.
- Arch
- Ampere
- Memory
- 24 GB HBM2
- Bandwidth
- 933 GB/s
- Released
- Q2 2021
Price history
Weekly median price per GPU per hour
At a glance Updated 11 minutes ago
- Cheapest in stock
- $0.29 /GPU/hr
- on-demand · 1x · GPU.ai
- Median price (current)
- $0.55 /GPU/hr
- on-demand
- 90-day trend
- --
- Coverage
- 8 providers
- 33 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 A30 run?
One A30 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) | A30s needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
|
|
19 GB
|
1
|
$0.55
|
$396
|
|
|
24 GB
|
2
|
$1.10
|
$792
|
|
|
68 GB
|
4
|
$2.20
|
$1,584
|
|
|
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 A30 · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 165 TFLOPS 330 with sparsity |
| INT8 | 330 TOPS 661 with sparsity |
| FP32 | 10.3 TFLOPS |
| FP64 | 5.2 TFLOPS |
| Precision support | FP16BF16TF32FP32FP64INT4INT8 |
| Memory | |
|---|---|
| Capacity | 24 GB HBM2 |
| Bandwidth | 933 GB/s |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Ampere |
| Process | TSMC N7 |
| Transistors | 54.2 billion |
| Shader cores | 3,584 CUDA cores |
| Matrix cores | 224 Tensor cores |
| Compute units | 56 SMs |
| Fabric and host | |
|---|---|
| Host interface | PCIe 4.0 x16 |
| Power | |
|---|---|
| Board power | 165 W |
| Cooling | Passive |
| Platform | |
|---|---|
| Partitioning | MIG, up to 4 instances |
Source: official Nvidia A30 datasheet.
Frequently Asked Questions
How much does the A30 cost per hour?
-
As of September 13, 2026, the median on-demand price is $0.55 per GPU per hour across 5 providers with a priced on-demand config.
Billing type Configs Median /GPU/hr Cheapest On-demand
18
$0.55
$0.29 (in stock, GPU.ai)
Reserved
15
$0.43 (1 mo)
No median for reserved: we only show this when at least 3 providers list the GPU on that billing type.
Who has the cheapest A30?
-
The cheapest verified in-stock on-demand A30 tracked by GetDeploying is $0.29 per GPU per hour from GPU.ai.
How much does the A30 cost per month?
-
At 720 hours per month, one A30 costs an estimated $396 at the median on-demand price. Cheapest verified in stock: $209 per month on-demand.
Where can I rent an A30?
-
GetDeploying currently tracks A30 configs from 8 providers. The cheapest verified in-stock on-demand configs come from GPU.ai, Massed Compute and EmpirioLabs AI. See the full price comparison above for every provider and config.
How many A30 GPUs do I need?
-
One A30 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 A30?
-
24GB HBM2e with higher memory bandwidth than GDDR6 alternatives. Supports FP64 for mixed AI and scientific workloads. MIG support for partitioning into smaller instances.
When is the A30 not a good fit?
-
PCIe-only. 24GB VRAM is limiting for larger models. The L40S offers more VRAM (48GB) and FP8 at a similar price point for pure inference.
Alternatives to Nvidia A30
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