Specifications Compared
| Spec | RTX-2060 | RTX-A5000 |
|---|---|---|
| TDP | 160W | 230W |
| VRAM | 6-12 GB | 24 GB |
| CUDA Cores | 1,920 | 8,192 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 240 | 256 |
| FP16 Performance | 6.5 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 27.8 TFLOPS |
| Memory Bandwidth | 336 GB/s | 768 GB/s |
Performance Analysis
The RTX A5000 demonstrates superior compute capability over the RTX 2060 SUPER: 27.8 TFLOPS FP16 and FP32 versus 7.2 TFLOPS represents nearly four times the throughput. This delta accelerates machine learning training and inference, where FP16 precision dominates for models like transformers, enabling faster iterations on large datasets.
Memory specifications highlight a key advantage for the RTX A5000: 24 GB VRAM compared to 8 GB supports loading extensive models without swapping, and 768 GB/s bandwidth versus 448 GB/s sustains larger batch sizes during training. Reduced bottlenecks occur in memory-intensive phases, such as gradient computations.
Power draw reflects efficiency differences: the RTX A5000's 230 W TDP exceeds the 175 W of the RTX 2060 SUPER, yet Ampere architecture yields better performance per watt for professional sustained loads. NVLink on the A5000 enables multi-GPU scaling absent in the Turing-based SUPER.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.49/GPU/hr $3.92/hr total (8×) |
When to Choose the RTX 2060 SUPER
The RTX 2060 SUPER fits scenarios with tight budgets or local deployments lacking cloud access, as no live rental offers appear. Its 8 GB VRAM and 7.2 TFLOPS suffice for lightweight inference on models under 7 billion parameters or basic fine-tuning with small batches. Lower 175 W TDP reduces cooling needs in compact systems.
When to Choose the RTX A5000
Opt for the RTX A5000 in demanding professional environments requiring 24 GB VRAM for large language models or high-resolution Stable Diffusion. Its 27.8 TFLOPS and 768 GB/s bandwidth handle extensive training runs, while NVLink supports multi-GPU setups. Cloud availability at $0.02 per hour average $0.41 makes it scalable without upfront hardware costs.
Use Cases
The RTX A5000's 24 GB VRAM and 27.8 TFLOPS FP16 performance support large LLMs that exceed the RTX 2060 SUPER's 8 GB capacity. Higher 768 GB/s bandwidth sustains big batches without memory errors.
RTX A5000 handles high-concurrency inference with 24 GB VRAM for quantized large models. Its 27.8 TFLOPS outperforms the 7.2 TFLOPS of RTX 2060 SUPER for low-latency serving.
24 GB VRAM on RTX A5000 accommodates full fine-tuning datasets, unlike 8 GB on RTX 2060 SUPER. 27.8 TFLOPS speeds optimizer steps over 7.2 TFLOPS.
RTX 2060 SUPER's 8 GB VRAM runs standard Stable Diffusion at 512x512 resolutions. RTX A5000's 24 GB excels in high-res or batch generations.
RTX A5000's 27.8 TFLOPS FP32 and NVLink suit parallel simulations. RTX 2060 SUPER's 7.2 TFLOPS limits complex HPC workloads.
Frequently Asked Questions
Which has more VRAM: RTX 2060 SUPER or RTX A5000?▾
The RTX A5000 provides 24 GB GDDR6 VRAM, three times the 8 GB in the RTX 2060 SUPER. This enables larger models on the A5000. Memory bandwidth also favors A5000 at 768 GB/s over 448 GB/s.
RTX 2060 SUPER vs RTX A5000 for AI training?▾
RTX A5000 excels with 27.8 TFLOPS FP16 versus 7.2 TFLOPS on RTX 2060 SUPER. Its higher specs reduce training time significantly. Cloud pricing starts at $0.02 per hour for A5000.
What is the power consumption difference?▾
RTX A5000 draws 230 W TDP, higher than RTX 2060 SUPER's 175 W. Ampere efficiency offsets this for compute-intensive tasks. Both use PCIe form factors.
Does RTX 2060 SUPER support NVLink?▾
No, RTX 2060 SUPER lacks NVLink interconnect, unlike RTX A5000. This limits multi-GPU scaling on SUPER. PCIe suffices for single-GPU use.
RTX A5000 cloud pricing details?▾
RTX A5000 rents from $0.02 per hour, averaging $0.41 per hour across 36 offers. RTX 2060 SUPER has no live cloud availability. Professional workloads benefit from this access.
Architecture age: Turing vs Ampere?▾
RTX 2060 SUPER uses 2019 Turing architecture; RTX A5000 employs 2021 Ampere. Ampere delivers 27.8 TFLOPS versus 7.2 TFLOPS. Newer design improves ML tensor operations.
Which is cheaper to rent, the RTX 2060 or the RTX A5000?▾
Cloud rental prices for both the RTX 2060 and RTX A5000 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 2060 have compared to the RTX A5000?▾
The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find RTX 2060 and RTX A5000 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 2060 and the RTX A5000?▾
The RTX 2060 uses the Turing architecture (2019) while the RTX A5000 uses Ampere (2021). The RTX A5000 delivers 4.3x the FP16 throughput and 2.3x the memory bandwidth of the RTX 2060.