Specifications Compared
| Spec | RTX-4080 | RTX-A4000 |
|---|---|---|
| TDP | 320W | 140W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 9,728 | 6,144 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 192 |
| FP16 Performance | 48.7 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 19.2 TFLOPS |
| INT8 Performance | 780 TOPS | |
| Memory Bandwidth | 717 GB/s | 448 GB/s |
Performance Analysis
RTX 4080 SUPER outperforms RTX A4000 significantly in compute: 48.7 TFLOPS in FP16 and FP32 represents 2.5 times the 19.2 TFLOPS of RTX A4000. This gap accelerates deep learning training, where FP16 reduces precision for faster matrix operations without major accuracy trade-offs, and FP32 supports precise inference tasks.
Memory bandwidth disparity is pronounced: 717 GB/s on RTX 4080 SUPER versus 448 GB/s on RTX A4000 enables larger batch sizes, mitigating out-of-memory errors and speeding data throughput in model training or inference pipelines.
Power consumption differentiates deployment: RTX 4080 SUPER's 320W TDP sustains peak performance for demanding jobs, while RTX A4000's 140W suits lower-power environments, though at reduced throughput.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
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 4080 SUPER
RTX 4080 SUPER is the superior choice for compute-heavy workloads. Large language model training leverages its 48.7 TFLOPS FP16 for 2.5 times faster iterations than RTX A4000's 19.2 TFLOPS. High-bandwidth tasks like Stable Diffusion benefit from 717 GB/s memory speed, supporting bigger batches at $0.17 per hour starting price.
When to Choose the RTX A4000
RTX A4000 fits budget-conscious or dense multi-GPU setups. Its 140W TDP enables efficient scaling without high power costs, and 31 cloud offers at $0.08 per hour provide better availability than RTX 4080 SUPER's three. It handles fine-tuning or inference adequately with 16 GB VRAM and 19.2 TFLOPS.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS FP16 offers 2.5 times the performance of RTX A4000's 19.2 TFLOPS, reducing training times for large models.
Higher 717 GB/s bandwidth on RTX 4080 SUPER supports larger inference batches compared to 448 GB/s on RTX A4000.
Both GPUs have 16 GB VRAM for most fine-tuning; RTX A4000 suffices at lower $0.08 per hour cost, while RTX 4080 SUPER accelerates with 48.7 TFLOPS.
RTX 4080 SUPER generates images faster via 48.7 TFLOPS FP16 and 717 GB/s bandwidth over RTX A4000's 19.2 TFLOPS.
RTX A4000's 140W TDP and $0.08 per hour pricing with 31 offers suit extended simulations better than RTX 4080 SUPER's 320W.
Frequently Asked Questions
Which GPU has higher FP32 performance: RTX 4080 SUPER or RTX A4000?▾
RTX 4080 SUPER achieves 48.7 TFLOPS in FP32. RTX A4000 delivers 19.2 TFLOPS. This makes RTX 4080 SUPER 2.5 times faster for single-precision tasks.
What is the memory bandwidth difference between RTX 4080 SUPER and RTX A4000?▾
RTX 4080 SUPER provides 717 GB/s with GDDR6X memory. RTX A4000 offers 448 GB/s using GDDR6. The higher bandwidth aids larger batch sizes on RTX 4080 SUPER.
How much VRAM do RTX 4080 SUPER and RTX A4000 have?▾
Both GPUs feature 16 GB of VRAM. RTX 4080 SUPER uses GDDR6X, while RTX A4000 employs GDDR6. This equality suits memory-intensive ML workloads.
What are the TDPs of RTX 4080 SUPER and RTX A4000?▾
RTX 4080 SUPER has a 320W TDP. RTX A4000 consumes 140W. Lower power on RTX A4000 supports denser cloud deployments.
What is the cloud pricing for RTX 4080 SUPER versus RTX A4000?▾
RTX 4080 SUPER starts at $0.17 per hour, averaging $0.32 across three offers. RTX A4000 begins at $0.08 per hour, averaging $0.34 across 31 offers. RTX A4000 offers more availability.
Which architecture do RTX 4080 SUPER and RTX A4000 use?▾
RTX 4080 SUPER is based on Ada Lovelace from 2022. RTX A4000 uses Ampere from 2021. Newer architecture gives RTX 4080 SUPER efficiency edges.
Which is cheaper to rent, the RTX 4080 or the RTX A4000?▾
Cloud rental prices for both the RTX 4080 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 4080 have compared to the RTX A4000?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 4080 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 4080 and the RTX A4000?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX A4000 uses Ampere (2021). The RTX 4080 delivers 2.5x the FP16 throughput and 1.6x the memory bandwidth of the RTX A4000.