Specifications Compared
| Spec | RTX-3080 | RTX-A4000 |
|---|---|---|
| TDP | 320W | 140W |
| VRAM | 10-12 GB | 16 GB |
| CUDA Cores | 8,704 | 6,144 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 272 | 192 |
| FP16 Performance | 29.8 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 760 GB/s | 448 GB/s |
Performance Analysis
The RTX 3080 demonstrates clear compute superiority with 29.8 TFLOPS in FP16 and FP32, exceeding the RTX A4000's 19.2 TFLOPS by 55 percent. This gap translates to faster model training, where FP32 throughput shortens iteration times, and quicker inference, where FP16 enables higher throughput for batch predictions.
Memory bandwidth plays a pivotal role: the RTX 3080's 760 GB/s versus the A4000's 448 GB/s allows larger batch sizes in deep learning pipelines, reducing data loading bottlenecks and improving overall utilization. Lower bandwidth on the A4000 may constrain workloads with high memory traffic.
VRAM capacity favors the A4000 at 16 GB GDDR6 over the RTX 3080's 10 to 12 GB GDDR6X, supporting bigger models without fragmentation in inference scenarios. TDP differences affect deployment: the A4000's 140W enables more efficient multi-GPU setups compared to the 3080's 320W, influencing cloud scalability.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 3080
The RTX 3080 excels in high-throughput compute scenarios. Its 29.8 TFLOPS FP32 performance accelerates training and fine-tuning tasks, while 760 GB/s bandwidth handles large batches effectively. At cloud prices from $0.06 per hour average $0.15 per hour, it delivers strong value for Stable Diffusion generation or scientific simulations demanding raw speed.
When to Choose the RTX A4000
The RTX A4000 suits memory-constrained workloads. 16 GB VRAM accommodates larger language models during inference, avoiding out-of-memory issues common with the RTX 3080's 10 to 12 GB. Its 140W TDP supports power-efficient deployments, and 29 live cloud offers ensure broader availability despite higher average pricing of $0.36 per hour.
Use Cases
RTX 3080's 29.8 TFLOPS FP32 outperforms A4000's 19.2 TFLOPS, reducing training time significantly.
A4000's 16 GB VRAM supports larger models without issues, unlike RTX 3080's 10-12 GB.
Higher 29.8 TFLOPS and 760 GB/s bandwidth on RTX 3080 speed up fine-tuning iterations.
RTX 3080's 29.8 TFLOPS FP16 and bandwidth accelerate image generation workloads.
29.8 TFLOPS FP32 and 760 GB/s bandwidth on RTX 3080 boost complex simulations.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX A4000 provides 16 GB GDDR6 VRAM. RTX 3080 has 10-12 GB GDDR6X. A4000 handles larger models better in memory-intensive tasks.
What is the FP32 performance difference?▾
RTX 3080 delivers 29.8 TFLOPS FP32. RTX A4000 offers 19.2 TFLOPS. This 55 percent lead makes 3080 faster for training.
How do cloud rental prices compare?▾
RTX 3080 rents from $0.06 per hour average $0.15 per hour across 10 offers. RTX A4000 starts at $0.08 per hour average $0.36 per hour with 29 offers. 3080 provides better value.
Which has lower power consumption?▾
RTX A4000 TDP is 140W. RTX 3080 requires 320W. A4000 enables denser, more efficient cloud instances.
Which is better for memory bandwidth?▾
RTX 3080 achieves 760 GB/s bandwidth. RTX A4000 has 448 GB/s. Higher bandwidth supports larger batches on 3080.
Is RTX A4000 newer than RTX 3080?▾
RTX A4000 launched in 2021. RTX 3080 released in 2020. Both use Ampere architecture with A4000 optimized for professional use.
Which is cheaper to rent, the RTX 3080 or the RTX A4000?▾
Cloud rental prices for both the RTX 3080 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 3080 have compared to the RTX A4000?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 3080 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 3080 and the RTX A4000?▾
The RTX 3080 uses the Ampere architecture (2020) while the RTX A4000 uses Ampere (2021). The RTX 3080 delivers 1.6x the FP16 throughput and 1.7x the memory bandwidth of the RTX A4000.