Nvidia A30

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

Last 12 months
Aggregating historical prices...

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:

  1. Location: datacenter proximity, blended with provider HQ.
  2. Price: hourly price, per GPU and in total.
  3. Billing type: reserved ahead of spot, spot ahead of quote-only.
  4. Specs: more VRAM, vCPUs and RAM.
  5. 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.
Massed Compute logo

Massed Compute

In stock

United States of America flag USA 4 configs 1x-8x

On-Demand from $0.35
From $0.35 /GPU/hr On-Demand Visit website
EmpirioLabs AI logo

EmpirioLabs AI

In stock

United States of America flag USA 1 config 1x

On-Demand from $0.55
From $0.55 /GPU/hr On-Demand Visit website
GPU.ai logo

GPU.ai

In stock

United Arab Emirates flag UAE 1 config 1x

On-Demand from $0.29
From $0.29 /GPU/hr On-Demand Visit website
Leafcloud logo

Netherlands flag Netherlands 4 configs 1x-8x

On-Demand from $0.70
From $0.70 /GPU/hr On-Demand PCIe Visit website
Exoscale logo

Switzerland flag Switzerland 4 configs 1x-4x

On-Demand from $0.74
From $0.74 /GPU/hr On-Demand Visit website
Leaseweb logo

Netherlands flag Netherlands 3 configs 1x-2x

Reserved from $0.43
From $0.43 /GPU/hr Reserved (1mo) Visit website
AceCloud logo

India flag India 12 configs 1x-2x

Reserved from $0.67
From $0.67 /GPU/hr Reserved (12mo) Visit website
Sesterce logo

Sesterce

Out of stock

France flag France 4 configs 1x-8x

On-Demand from $0.39
From $0.39 /GPU/hr On-Demand Visit website

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.

Fits on 1 Single node ≤ 8 Multi-node
Model Memory (INT4 / FP4) A30s needed Cost /hr Cost /mo
Alibaba Cloud logo Qwen3.8-27B 27B
19 GB
1
$0.55
$396
Google Cloud logo Gemma 4 31B 30.7B
24 GB
2
$1.10
$792
OpenAI logo GPT-OSS-120B 117B · 5.1B active
68 GB
4
$2.20
$1,584
Z.AI logo GLM-5.3-Flash 320B · 18B active
178 GB
9
MiniMax logo MiniMax-M3 428B · 23B active
241 GB
12
DeepSeek logo DeepSeek V4.1 Flash 552B · 16B active
306 GB
15
Moonshot AI logo Kimi K3 2.8T · 104B active
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 typeConfigsMedian /GPU/hrCheapest

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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