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 favors the RTX A4000 decisively: 19.2 TFLOPS FP16 and FP32 versus 10.1 TFLOPS on the RTX 2080 Ti. This advantage accelerates machine learning training, where FP16 mixed precision halves memory use while boosting speed by nearly 90 percent. Inference workloads similarly benefit from higher throughput on larger models.
VRAM capacity defines model scalability: 16 GB on the A4000 supports batch sizes twice those feasible on 8-11 GB of the 2080 Ti, reducing overhead in deep learning pipelines. Memory bandwidth tells another story, with 616 GB/s on the 2080 Ti outperforming 448 GB/s on the A4000 for data-heavy tasks like large matrix multiplications.
TDP differences promote cloud density: A4000 at 140W versus 2080 Ti at 215W enables more GPUs per server, lowering effective costs for sustained 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 A4000
| 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
Select the RTX 2080 Ti for budget-driven projects emphasizing bandwidth. Cloud pricing from $0.06 per hour, averaging $0.11 per hour, provides strong value against the A4000's $0.36 average. Its 616 GB/s bandwidth excels in memory-intensive simulations or rendering where datasets fit within 8-11 GB VRAM.
It suits legacy applications optimized for Turing or multi-GPU setups via NVLink interconnect.
When to Choose the RTX A4000
The RTX A4000 shines in modern AI pipelines demanding capacity. 16 GB VRAM accommodates large models and batches beyond the 2080 Ti's 8-11 GB limit. 19.2 TFLOPS FP16/FP32 delivers near-double speed for training and inference over 10.1 TFLOPS.
Ampere efficiency at 140W TDP and broader availability across 29 cloud offers justify the $0.36 average hourly rate for professional workflows.
Use Cases
RTX A4000's 16 GB VRAM fits large LLM parameters, unlike 8-11 GB on RTX 2080 Ti. 19.2 TFLOPS doubles training throughput over 10.1 TFLOPS.
16 GB VRAM enables full-model inference without heavy quantization. Higher 19.2 TFLOPS ensures lower latency than 10.1 TFLOPS.
Fine-tuning mid-sized models fits both 8-11 GB and 16 GB VRAM. Compute gap narrows for brief sessions.
Ampere's 19.2 TFLOPS accelerates diffusion steps faster than 10.1 TFLOPS. 16 GB VRAM supports high-resolution generations.
RTX 2080 Ti's 616 GB/s bandwidth outperforms 448 GB/s for memory-bound simulations. Sufficient 8-11 GB VRAM handles most datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX A4000 provides 16 GB GDDR6 VRAM. RTX 2080 Ti offers 8-11 GB GDDR6. This enables larger models on A4000.
What is the FP32 performance comparison?▾
RTX A4000 delivers 19.2 TFLOPS FP32. RTX 2080 Ti achieves 10.1 TFLOPS FP32. A4000 processes computations nearly twice as fast.
Which is cheaper on cloud providers?▾
RTX 2080 Ti starts at $0.06 per hour, averaging $0.11 per hour across 6 offers. RTX A4000 is $0.08 per hour, averaging $0.36 per hour across 29 offers.
Which has higher memory bandwidth?▾
RTX 2080 Ti leads with 616 GB/s bandwidth. RTX A4000 has 448 GB/s. Bandwidth aids data transfer in 2080 Ti.
What are the power consumption levels?▾
RTX 2080 Ti TDP is 215W. RTX A4000 TDP is 140W. Lower TDP improves A4000 density in cloud servers.
Does either support NVLink?▾
RTX 2080 Ti includes NVLink interconnect. RTX A4000 lacks specified interconnect support. NVLink enables multi-GPU scaling on 2080 Ti.
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.