Specifications Compared
| Spec | A40 | RTX-2060 |
|---|---|---|
| TDP | 300W | 160W |
| VRAM | 48 GB | 6-12 GB |
| CUDA Cores | 10,752 | 1,920 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 336 | 240 |
| FP16 Performance | 37.4 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | |
| INT8 Performance | 299 TOPS | |
| Memory Bandwidth | 696 GB/s | 336 GB/s |
Performance Analysis
The A40's 37.4 TFLOPS FP16 and FP32 performance enables significantly faster model training and inference than the RTX 2060 SUPER's 7.2 TFLOPS in both formats. For deep learning, this translates to training large neural networks in hours rather than days: the A40 processes over five times more floating-point operations per second. Equal FP16 and FP32 rates on both GPUs support mixed-precision workflows without penalties, but the A40's scale accelerates convergence in training loops.
Memory bandwidth impacts real-world throughput profoundly: the A40's 696 GB/s sustains larger batch sizes in inference servers, reducing latency for high-volume queries, while the RTX 2060 SUPER's 448 GB/s bottlenecks at moderate scales. The A40's 48 GB VRAM handles datasets up to eight times larger than the RTX 2060 SUPER's 8 GB, preventing out-of-memory errors in fine-tuning or generative tasks. Overall, these specs render the A40 viable for production AI, whereas the RTX 2060 SUPER suits prototyping.
Power efficiency varies: the A40's 300W TDP delivers superior performance per watt for sustained loads compared to the RTX 2060 SUPER's 175W, which favors intermittent consumer use.
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 | 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 A40
The A40 excels in enterprise scenarios requiring massive VRAM, such as training LLMs with billions of parameters that demand 48 GB GDDR6. Its 696 GB/s bandwidth and 37.4 TFLOPS compute support high-batch inference in data centers. Cloud users benefit from 23 live offers starting at $0.24 per hour for scalable AI deployments.
When to Choose the RTX 2060 SUPER
The RTX 2060 SUPER fits budget-conscious desktop gaming or light ML experimentation, where 8 GB VRAM and 7.2 TFLOPS suffice for small models. Its lower 175W TDP reduces cooling needs in personal rigs. Lack of cloud offers directs it toward on-premise consumer setups.
Use Cases
The A40's 48 GB VRAM fits large language models that exceed the RTX 2060 SUPER's 8 GB limit. Its 37.4 TFLOPS FP16 accelerates training epochs significantly faster.
Higher 696 GB/s bandwidth on the A40 supports larger batch sizes for low-latency serving. The 37.4 TFLOPS FP32 throughput handles production query volumes beyond the RTX 2060 SUPER.
48 GB VRAM on the A40 manages full model fine-tuning without quantization, unlike the 8 GB constraint on the RTX 2060 SUPER. Compute at 37.4 TFLOPS speeds iterations.
The A40's superior 37.4 TFLOPS and 48 GB VRAM generate high-resolution images faster with larger batches. RTX 2060 SUPER limits to basic resolutions due to 8 GB.
37.4 TFLOPS FP32 on the A40 processes simulations with massive datasets, leveraging 696 GB/s bandwidth. RTX 2060 SUPER's 7.2 TFLOPS restricts to smaller-scale computations.
Frequently Asked Questions
What is the VRAM difference between A40 and RTX 2060 SUPER?▾
The A40 provides 48 GB GDDR6 VRAM, six times more than the RTX 2060 SUPER's 8 GB GDDR6. This enables the A40 to load much larger AI models without swapping to system RAM. Consumer tasks rarely exceed 8 GB on the RTX 2060 SUPER.
How do compute performances compare?▾
The A40 delivers 37.4 TFLOPS in FP16 and FP32, over five times the RTX 2060 SUPER's 7.2 TFLOPS in both. This gap shortens training times dramatically for the A40 in ML workloads. Gaming benefits less from the disparity on the RTX 2060 SUPER.
What are the cloud pricing details?▾
A40 rentals start at $0.24 per hour, averaging $1.31 per hour across 23 live offers. No live cloud offers exist for the RTX 2060 SUPER. Users check gpuperhour.com for A40 availability.
Which has higher memory bandwidth?▾
The A40's 696 GB/s exceeds the RTX 2060 SUPER's 448 GB/s by 55 percent. Higher bandwidth on the A40 sustains larger batches in inference. The RTX 2060 SUPER suffices for smaller workloads.
What are the TDP ratings?▾
A40 consumes 300W TDP, while RTX 2060 SUPER uses 175W. The A40's higher power supports sustained datacenter loads. RTX 2060 SUPER fits power-limited desktops.
Are these GPUs available in PCIe form factor?▾
Both support PCIe form factors. Neither lists NVLink interconnect, limiting multi-GPU scaling on RTX 2060 SUPER. A40 suits PCIe server slots for cloud use.
Which is cheaper to rent, the A40 or the RTX 2060?▾
Cloud rental prices for both the A40 and RTX 2060 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 2060?▾
The A40 has 48 GB of GDDR6 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find A40 and RTX 2060 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 2060?▾
The A40 uses the Ampere architecture (2020) while the RTX 2060 uses Turing (2019). The A40 delivers 5.8x the FP16 throughput and 2.1x the memory bandwidth of the RTX 2060.