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Official date to be announced shortlyGPU offers available at launch; figures shown are indicative.

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NVIDIA A30 24GB cloud GPU

A30: 24 GB of HBM2 memory per GPU, Ampere architecture. Rent it by the hour on the EverXCloud spot exchange, at the live price set by sellers and buyers.

Best live price
No offer listed
GPU memory
24 GB HBM2
Bandwidth
933 GB/s
FP16 tensor
165 TFLOPS
Architecture
Ampere
Max power
165 W

A30 on the spot exchange

No offer is listed for this model right now.

Estimate VRAMEstimate cost

No A30 product is listed on the spot exchange right now. Tell us the quantity and the dates you need: we look for this capacity across the EverXCloud Network.

Request this capacity

A30 specifications

A30 specifications, per GPU
GPU memory24 GB
Memory typeHBM2
Memory bandwidth933 GB/s
FP16 tensor165 TFLOPS
BF16 tensor165 TFLOPS
Max power165 W
ArchitectureAmpere
InterconnectNVLink bridge (200 GB/s) · PCIe 4.0

Manufacturer specifications, per GPU. Tensor throughput is shown without sparsity. Values the manufacturer does not publish for this exact model are left out.

Recommended uses

  • Fine-tuning

    Parameter-efficient fine-tuning (LoRA, QLoRA) of open models that fit in memory with 4-bit quantization.

  • LLM inference

    Language models up to about 9 billion parameters in 16-bit precision, or about 30 billion with 4-bit quantization.

  • Image generation

    Image and video diffusion models; larger models and higher resolutions need more GPU memory.

Cautious estimates for this product (24 GB of GPU memory in total), counting 80% of memory for model weights. Real limits depend on context length, batch size and framework.

Workloads for the A30

GPUs similar to the A30

GPUs similar to the A30: memory, architecture and best live price per GPU-hour excluding tax
GPUFrom/h
A1616 GB GDDR6 · Ampere$0.24
A1024 GB GDDR6 · Ampere$0.24
L424 GB GDDR6 · Ada Lovelace$0.44
Tesla T416 GB GDDR6 · Turing$0.18
Tesla V10032 GB HBM2 · Volta$0.10
Tesla P4024 GB GDDR5 · Pascal$0.10
All GPU models

Compare the A30

A30: frequently asked questions

How much does it cost to rent the A30?

No offer is listed right now. Request this capacity and we look for it across the EverXCloud Network; in the portal, you can also place a request at the price you are willing to pay.

How much memory does A30 have?

24 GB of HBM2 memory per GPU. Memory bandwidth is 933 GB/s.

Which AI models can I run on A30?

As a cautious estimate, this product (24 GB of GPU memory in total) runs language models up to about 9 billion parameters in 16-bit precision, or about 30 billion with 4-bit quantization. Context length, batch size and framework change the real limit.

Can I rent several A30 GPUs together?

Servers with several GPUs are listed as separate products on the spot exchange when sellers offer them, for example 2, 4 or 8 GPUs. For a larger quantity or fixed dates, request this capacity.

How is A30 rental billed?

By the hour. You buy rental hours on the spot exchange, up to 720 hours per order, and pay them from your prepaid balance. Prices are shown excluding tax, and EverXCloud is the merchant of record for every rental.

Which currencies and payment methods can I use?

Euros, US dollars or pounds, each with its own balance, never converted. Top up by card; SEPA bank transfer may be offered to business accounts on request. A receipt is issued for every top-up and an invoice, with VAT or sales tax where it applies, for every rental.

Is buying GPU hours on the spot exchange a financial product?

No. You buy hours of GPU rental to use them: no derivatives, no leverage, no transferable credits.

Check the workload, complete configuration and billing conditions before choosing a live offer.

Be ready on launch day

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