NVIDIA RTX A5500 24GB cloud GPU
RTX A5500: 24 GB of GDDR6 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 GDDR6
- Architecture
- Ampere
- Max power
- 230 W
RTX A5500 on the spot exchange
No offer is listed for this model right now.
No RTX A5500 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 capacityRTX A5500 specifications
| GPU memory | 24 GB |
|---|---|
| Memory type | GDDR6 |
| Max power | 230 W |
| Architecture | Ampere |
| Interconnect | NVLink bridge (112 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.
- 3D rendering
Ray-traced rendering, visual effects and simulation, with dedicated ray-tracing cores.
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 RTX A5500
- GPUs for fine-tuning open models
LoRA and QLoRA adapters on a single GPU, from 24 GB up.
- GPUs for LLM inference
Serve open models: what fits in memory, and how fast tokens come.
- GPUs for image and video generation
Diffusion models for images and video, from 24 GB cards to 80 GB GPUs.
- GPUs for 3D rendering and visual effects
Ray-traced rendering, visual effects and real-time engines.
GPUs similar to the RTX A5500
| GPU | From/h |
|---|---|
| RTX PRO 4000 Blackwell24 GB GDDR7 · Blackwell | $0.24 |
| RTX A500024 GB GDDR6 · Ampere | $0.16 |
| RTX PRO 4000 Blackwell SFF24 GB GDDR7 · Blackwell | On request |
| RTX 4500 Ada24 GB GDDR6 · Ada Lovelace | On request |
| RTX 4000 Ada20 GB GDDR6 · Ada Lovelace | On request |
| Quadro RTX 600024 GB GDDR6 · Turing | On request |
Compare the RTX A5500
RTX A5500: frequently asked questions
How much does it cost to rent the RTX A5500?
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 RTX A5500 have?
24 GB of GDDR6 memory per GPU.
Which AI models can I run on RTX A5500?
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 RTX A5500 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 RTX A5500 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.
Plan your GPU rental
- GPU rental: how to rent a cloud GPU by the hour
- How to rent your first GPU
- How to choose a GPU for LLM inference
- How to estimate a GPU rental session
- H100 price per hour: what sets the rate
- How a GPU spot exchange works
- H200 price per hour: cloud pricing explained
- B200 price per hour: B200, B300 and GB200
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Check the workload, complete configuration and billing conditions before choosing a live offer.
Be ready on launch day
Create your account now: you can top up your balance and launch a GPU as soon as the market opens.
Have GPU servers?
Businesses can join the EverXCloud Network and sell hours of their GPU servers on the spot exchange.