Specifications Compared
| Spec | RTX-2080 | RTX-A5000 |
|---|---|---|
| TDP | 215W | 230W |
| VRAM | 8-11 GB | 24 GB |
| CUDA Cores | 2,944 | 8,192 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 368 | 256 |
| FP16 Performance | 10.1 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 27.8 TFLOPS |
| Memory Bandwidth | 616 GB/s | 768 GB/s |
Performance Analysis
The RTX A5000 outperforms the RTX 2080 Ti significantly in raw compute: 27.8 TFLOPS FP16 and FP32 versus 10.1 TFLOPS, a 2.75 times advantage that accelerates machine learning training and inference. For training large models, this delta means faster iterations; a workload taking one hour on 2080 Ti could complete in about 22 minutes on A5000, assuming linear scaling. Inference benefits similarly, handling more simultaneous queries due to higher throughput. Memory bandwidth of 768 GB/s on A5000 versus 616 GB/s on 2080 Ti supports larger batch sizes: A5000 can process batches 25 percent larger without bottlenecks, reducing overhead in deep learning pipelines. The 24 GB VRAM on A5000 versus 8 to 11 GB on 2080 Ti enables loading models over 100 billion parameters without splitting, while 2080 Ti limits to smaller models around 7 billion parameters. TDP difference of 230W versus 215W is minor, but A5000's efficiency shines in sustained professional loads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
RTX A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) |
When to Choose the RTX 2080 Ti
Choose the RTX 2080 Ti for budget-sensitive projects where 10.1 TFLOPS FP32 suffices and VRAM needs stay under 11 GB. Its average cloud pricing of $0.10 per hour beats A5000's $0.42 average, ideal for prototyping, small-scale inference, or gaming-related compute at $0.06 per hour starting rate. Lower 215W TDP suits dense clusters with power constraints.
When to Choose the RTX A5000
Opt for the RTX A5000 in professional workflows demanding 24 GB VRAM and 27.8 TFLOPS performance. It excels in training large language models or high-resolution rendering, where 768 GB/s bandwidth prevents memory stalls. Despite higher average $0.42 per hour, 34 live offers provide flexibility starting at $0.02 per hour.
Use Cases
RTX A5000's 24 GB VRAM and 27.8 TFLOPS FP16 handle large models without splitting, unlike 2080 Ti's 11 GB limit. Higher 768 GB/s bandwidth supports bigger batches for faster training.
27.8 TFLOPS FP16 on A5000 processes more queries per second than 10.1 TFLOPS on 2080 Ti. 24 GB VRAM fits full models for low-latency serving.
A5000's 2.75 times higher compute and triple VRAM accelerate fine-tuning of mid-sized models. 2080 Ti struggles with memory on datasets over 11 GB.
2080 Ti's 10.1 TFLOPS suffices for basic image generation at 11 GB VRAM. A5000's 27.8 TFLOPS and 24 GB enable higher resolutions and batch sizes.
RTX A5000's 768 GB/s bandwidth and 27.8 TFLOPS FP32 outperform 2080 Ti in simulations requiring large datasets. 24 GB VRAM handles complex grids.
Frequently Asked Questions
Which GPU has more VRAM: RTX 2080 Ti or RTX A5000?▾
The RTX A5000 has 24 GB GDDR6 VRAM. RTX 2080 Ti offers 8 to 11 GB GDDR6. This makes A5000 better for large models.
What is the FP32 performance difference between RTX 2080 Ti and RTX A5000?▾
RTX A5000 delivers 27.8 TFLOPS FP32. RTX 2080 Ti provides 10.1 TFLOPS FP32. A5000 is 2.75 times faster for compute tasks.
How do cloud prices compare for these GPUs?▾
RTX 2080 Ti starts at $0.06 per hour, averaging $0.10 across four offers. RTX A5000 starts at $0.02 per hour, averaging $0.42 across 34 offers.
Which has higher memory bandwidth?▾
RTX A5000 offers 768 GB/s bandwidth. RTX 2080 Ti has 616 GB/s. A5000 supports 25 percent larger batches.
Are both GPUs suitable for NVLink?▾
Yes, both support NVLink interconnect. They use PCIe form factors with TDP of 215W for 2080 Ti and 230W for A5000.
What architecture do they use?▾
RTX 2080 Ti uses Turing from 2018. RTX A5000 uses Ampere from 2021. Ampere provides superior efficiency.
Which is cheaper to rent, the RTX 2080 or the RTX A5000?▾
Cloud rental prices for both the RTX 2080 and RTX A5000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 2080 have compared to the RTX A5000?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find RTX 2080 and RTX A5000 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 2080 and the RTX A5000?▾
The RTX 2080 uses the Turing architecture (2018) while the RTX A5000 uses Ampere (2021). The RTX A5000 delivers 2.8x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2080.