RTX A5500 vs RTX A5000
Manufacturer specifications of the RTX A5500 and the RTX A5000, side by side, per GPU. A value the manufacturer does not publish for the exact model is marked as such, never estimated.
NVIDIA RTX A5500 24GB
Ampere
- GPU memory
- 24 GB
- Memory bandwidth
- Not published
Live price on EverXCloud · No offer right now
Suited workloads
NVIDIA RTX A5000 24GB
Ampere
- GPU memory
- 24 GB
- Memory bandwidth
- 768 GB/s
Live price on EverXCloud · from $0.16 per GPU-hour
Suited workloads
Key differences
- Both have 24 GB of GPU memory.
Specifications
| Specification | RTX A5500 | RTX A5000 |
|---|---|---|
| GPU memory | 24 GB | 24 GB |
| Memory type | GDDR6 | GDDR6 |
| Memory bandwidth | Not published | 768 GB/s |
| Max power | 230 W | 230 W |
| Architecture | Ampere | Ampere |
| Interconnect | NVLink bridge (112 GB/s) · PCIe 4.0 | NVLink bridge (112.5 GB/s) · PCIe 4.0 |
The higher value of each measured row is shown in bold. Manufacturer specifications, per GPU. Tensor throughput is shown without sparsity. Values the manufacturer does not publish for this exact model are left out.
What fits in memory, on one GPU
| Workload | RTX A5500 | RTX A5000 |
|---|---|---|
| LLM inference, 16-bit | ≈ 9B parameters | ≈ 9B parameters |
| LLM inference, 4-bit | ≈ 30B parameters | ≈ 30B parameters |
| Full training, mixed precision | ≈ 1B parameters | ≈ 1B parameters |
Cautious estimates counting 80% of memory for model weights; context length, batch size and framework change the real limit. Several GPUs together hold larger models.
RTX A5500 vs RTX A5000: frequently asked questions
Which has more memory, the RTX A5500 or the RTX A5000?
Both have 24 GB of GPU memory.
Can I rent the RTX A5500 and the RTX A5000 by the hour?
Yes, when sellers list them on the EverXCloud spot exchange: you buy GPU hours at the live price from a prepaid balance in euros, US dollars or pounds. Prices are shown excluding tax and EverXCloud is the merchant of record for every rental.
Be ready on launch day
Create your account now: you can top up your balance and rent the GPU that fits your workload as soon as the market opens.
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