Specifications Compared
| Spec | RTX-2080 | RTX-A4000 |
|---|---|---|
| TDP | 215W | 140W |
| VRAM | 8-11 GB | 16 GB |
| CUDA Cores | 2,944 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 368 | 192 |
| FP16 Performance | 10.1 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 616 GB/s | 448 GB/s |
Performance Analysis
Compute performance shows a clear advantage for the RTX A4500: 19.2 TFLOPS in FP16 and FP32 compared to 10.1 TFLOPS on the RTX 2080 Ti. This nearly doubles throughput for deep learning training and inference, enabling faster iterations on large models. FP16 capabilities support mixed-precision training, reducing memory usage while maintaining accuracy.
Memory bandwidth favors the RTX 2080 Ti at 616 GB/s against 448 GB/s on the A4500. Higher bandwidth sustains larger batch sizes in data-heavy workloads, minimizing bottlenecks during matrix multiplications. The A4500 counters with 16 GB VRAM versus 11 GB, accommodating bigger models or datasets without swapping.
Power efficiency tilts toward the A4500 with 140 W TDP versus 215 W. Lower consumption suits dense cloud deployments, reducing costs in prolonged runs. Newer Ampere architecture enhances tensor core efficiency over Turing.
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 A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the RTX 2080 Ti
The RTX 2080 Ti excels in bandwidth-intensive applications. Its 616 GB/s memory bandwidth outperforms the A4500's 448 GB/s, supporting larger batch sizes in simulations or rendering. At $0.06 per hour starting price, it offers value for cost-sensitive users needing high throughput without massive VRAM.
When to Choose the RTX A4500
Opt for the RTX A4500 in compute-heavy machine learning. Its 19.2 TFLOPS doubles the 2080 Ti's 10.1 TFLOPS, accelerating training and inference. 16 GB VRAM handles larger models, ideal despite higher $0.10 per hour cost.
Use Cases
The A4500's 19.2 TFLOPS FP16 performance doubles the 2080 Ti's 10.1 TFLOPS, speeding up large model training. 16 GB VRAM supports bigger batches than 11 GB.
Higher 19.2 TFLOPS on A4500 delivers faster inference latency versus 10.1 TFLOPS. Ampere architecture optimizes tensor operations for deployment.
Both GPUs handle fine-tuning with 10.1 or 19.2 TFLOPS, but choose 2080 Ti for bandwidth-limited tasks at lower $0.06/hr cost or A4500 for VRAM needs.
RTX 2080 Ti's 616 GB/s bandwidth excels in image generation pipelines over A4500's 448 GB/s. Lower pricing at $0.11/hr average suits iterative creative work.
A4500's 19.2 TFLOPS FP32 outperforms 10.1 TFLOPS for simulations. Lower 140 W TDP aids long-running HPC jobs.
Frequently Asked Questions
What is the VRAM difference between RTX 2080 Ti and RTX A4500?▾
The RTX A4500 has 16 GB GDDR6 VRAM, exceeding the RTX 2080 Ti's 11 GB. This allows larger models on the A4500. Bandwidth is higher on 2080 Ti at 616 GB/s versus 448 GB/s.
Which GPU has better FP32 performance?▾
RTX A4500 achieves 19.2 TFLOPS FP32, nearly double the RTX 2080 Ti's 10.1 TFLOPS. This benefits compute-intensive tasks. FP16 matches this ratio.
How do cloud prices compare?▾
RTX 2080 Ti starts at $0.06/hr, averaging $0.11/hr across 6 offers. RTX A4500 begins at $0.10/hr, averaging $0.19/hr across 4 offers. Cost favors 2080 Ti for light use.
What are the TDP ratings?▾
RTX 2080 Ti TDP is 215 W, higher than A4500's 140 W. Lower TDP on A4500 improves efficiency in clusters. Both use PCIe form factor.
Is RTX A4500 newer than RTX 2080 Ti?▾
Yes, A4500 uses 2021 Ampere architecture versus 2018 Turing on 2080 Ti. This brings tensor core improvements. NVLink on 2080 Ti aids multi-GPU setups.
Which is better for ML training?▾
RTX A4500 leads with 19.2 TFLOPS and 16 GB VRAM over 10.1 TFLOPS and 11 GB. It handles larger batches efficiently. Bandwidth edge of 2080 Ti suits specific cases.
Which is cheaper to rent, the RTX 2080 or the RTX A4000?▾
Cloud rental prices for both the RTX 2080 and RTX A4000 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 A4000?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 2080 and RTX A4000 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 A4000?▾
The RTX 2080 uses the Turing architecture (2018) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 1.9x the FP16 throughput and 1.4x the memory bandwidth of the RTX 2080.