Specifications Compared
| Spec | A40 | RTX-3080 |
|---|---|---|
| TDP | 300W | 320W |
| VRAM | 48 GB | 10-12 GB |
| CUDA Cores | 10,752 | 8,704 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 336 | 272 |
| FP16 Performance | 37.4 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 29.8 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | |
| INT8 Performance | 299 TOPS | |
| Memory Bandwidth | 696 GB/s | 760 GB/s |
Performance Analysis
Compute throughput defines a clear edge for the A40: its 37.4 TFLOPS in FP16 and FP32 exceeds the RTX 3080's 29.8 TFLOPS, accelerating deep learning training and inference by approximately 25 percent in tensor core operations. This delta proves critical for model training, where FP16 precision handles forward and backward passes faster on the A40, reducing epoch times for large datasets.
VRAM disparity reshapes real-world applicability: the A40's 48 GB GDDR6 supports batch sizes and model sizes infeasible on the RTX 3080's 10-12 GB GDDR6X, preventing out-of-memory errors in LLM fine-tuning or high-resolution image generation. Memory bandwidth at 760 GB/s on the RTX 3080 slightly outpaces 696 GB/s on the A40, benefiting inference with smaller batches where data transfer rates limit throughput. For inference specifically, higher bandwidth enables larger effective batch sizes on the RTX 3080 before VRAM constraints bind.
Power draw influences deployment: the A40's 300W TDP versus 320W allows denser cloud configurations, while NVLink on the A40 enables efficient multi-GPU training scaling absent in the RTX 3080.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A40
| 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 | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | 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 |
When to Choose the A40
The A40 excels in memory-intensive workloads: its 48 GB GDDR6 VRAM accommodates large language models exceeding 12 GB, such as during training or inference on models like GPT variants. NVLink interconnect supports multi-GPU setups for distributed training, scaling performance beyond single-card limits.
Enterprise users prioritize the A40 for sustained 37.4 TFLOPS FP32 compute at $1.27 per hour average, where reliability and capacity outweigh cost for production-scale AI pipelines.
When to Choose the RTX 3080
The RTX 3080 suits budget-conscious users: at $0.06 per hour from and $0.15 per hour average, it delivers 29.8 TFLOPS FP16 for entry-level tasks fitting within 10-12 GB VRAM. Higher 760 GB/s bandwidth accelerates inference on smaller models or Stable Diffusion with modest batch sizes.
Prototyping or gaming-adjacent compute favors the RTX 3080, where its 320W TDP aligns with cost-effective cloud instances lacking enterprise interconnect needs.
Use Cases
The A40's 48 GB VRAM supports large batch sizes and model parameters exceeding the RTX 3080's 10-12 GB capacity. NVLink enables efficient multi-GPU scaling for extended training runs.
48 GB VRAM on the A40 accommodates full model loading for high-concurrency inference, unlike the RTX 3080's 10-12 GB which requires quantization or sharding.
A40's 37.4 TFLOPS FP16 and ample VRAM handle parameter-efficient fine-tuning on large models without memory bottlenecks present on RTX 3080.
RTX 3080's 760 GB/s bandwidth and 10-12 GB VRAM suffice for standard Stable Diffusion pipelines at lower cost of $0.15 per hour average.
Both offer similar Ampere FP32 performance around 30 TFLOPS; choose RTX 3080 for cost savings if workloads fit 10-12 GB VRAM, or A40 for larger simulations.
Frequently Asked Questions
Does the A40 have more VRAM than RTX 3080?▾
Yes, the A40 provides 48 GB GDDR6 VRAM compared to the RTX 3080's 10-12 GB GDDR6X. This enables larger models in AI tasks. Cloud pricing reflects the difference at $0.24 per hour minimum for A40 versus $0.06 for RTX 3080.
Which has higher FP32 performance?▾
The A40 achieves 37.4 TFLOPS FP32, surpassing the RTX 3080's 29.8 TFLOPS. This benefits training workloads. Both share Ampere architecture from 2020.
Is RTX 3080 cheaper in the cloud?▾
RTX 3080 starts at $0.06 per hour with $0.15 average across 10 offers, far below A40's $0.24 minimum and $1.27 average over 21 offers. Bandwidth at 760 GB/s aids cost-effective inference.
Can RTX 3080 use NVLink?▾
No, the RTX 3080 lacks NVLink interconnect present on the A40. This limits multi-GPU scaling. A40's PCIe form factor supports data center NVLink bridges.
Which is better for large model training?▾
A40's 48 GB VRAM and 37.4 TFLOPS FP16 make it ideal for large model training. RTX 3080's 10-12 GB restricts batch sizes. TDP is lower at 300W on A40.
How do TDPs compare?▾
A40 draws 300W TDP, less than RTX 3080's 320W. This aids power-efficient deployments. Both use PCIe form factors.
Which is cheaper to rent, the A40 or the RTX 3080?▾
Cloud rental prices for both the A40 and RTX 3080 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 A40 have compared to the RTX 3080?▾
The A40 has 48 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find A40 and RTX 3080 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 A40 and the RTX 3080?▾
The A40 uses the Ampere architecture (2020) while the RTX 3080 uses Ampere (2020). The A40 delivers 1.3x the FP16 throughput and 1.1x the memory bandwidth of the RTX 3080.