Specifications Compared
| Spec | RTX-2060 | RTX-A2000 |
|---|---|---|
| TDP | 160W | 70W |
| VRAM | 6-12 GB | 6-12 GB |
| CUDA Cores | 1,920 | 3,328 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 240 | 104 |
| FP16 Performance | 6.5 TFLOPS | 8 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 8 TFLOPS |
| Memory Bandwidth | 336 GB/s | 288 GB/s |
Performance Analysis
The RTX A2000's Ampere architecture provides 8 TFLOPS FP32 performance: this surpasses the RTX 2060 Super's 7.2 TFLOPS by 11 percent, accelerating matrix multiplications in neural network training and inference. FP16 performance follows the same pattern at 8 TFLOPS versus 7.2 TFLOPS, benefiting half-precision workloads prevalent in modern deep learning frameworks. Newer tensor core optimizations in Ampere further enhance throughput for transformer models.
Memory bandwidth marks a key divergence: the RTX 2060 Super's 448 GB/s enables 55 percent larger batch sizes than the RTX A2000's 288 GB/s in memory-bound scenarios like high-resolution image processing. Lower TDP on the RTX A2000 at 70W versus 175W allows denser server packing, reducing operational costs in cloud environments. Overall, compute advantages favor Ampere for most AI tasks, while Turing excels in bandwidth-intensive applications.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 2060 SUPER
The RTX 2060 Super suits scenarios demanding high memory bandwidth. With 448 GB/s compared to 288 GB/s, it handles larger datasets and batch sizes effectively in Stable Diffusion generation or scientific simulations involving frequent memory access. Local deployments without cloud constraints also favor its 8 GB GDDR6 VRAM for graphics-heavy workloads.
When to Choose the RTX A2000
The RTX A2000 excels in power-efficient cloud computing. Its 70W TDP versus 175W enables lower electricity costs and higher GPU density per server. Availability at $0.06 per hour makes it ideal for scalable AI inference and training where 8 TFLOPS FP32 outperforms the RTX 2060 Super's 7.2 TFLOPS.
Use Cases
The RTX A2000's 8 TFLOPS FP32 exceeds the RTX 2060 Super's 7.2 TFLOPS by 11 percent, speeding up gradient computations. Lower 70W TDP supports prolonged training sessions.
Ampere architecture optimizations deliver 8 TFLOPS FP16 for faster token generation. Cloud pricing from $0.06 per hour fits high-volume inference needs.
8 TFLOPS performance handles parameter updates more efficiently than 7.2 TFLOPS. Efficient 70W power draw reduces costs in iterative fine-tuning.
RTX 2060 Super's 448 GB/s bandwidth supports larger image batches versus 288 GB/s. This mitigates memory bottlenecks in diffusion model sampling.
Higher 448 GB/s bandwidth accelerates data transfers in simulations. 8 GB GDDR6 VRAM suffices for many compute-intensive scientific codes.
Frequently Asked Questions
What is the FP32 performance difference between RTX 2060 Super and RTX A2000?▾
The RTX A2000 achieves 8 TFLOPS FP32, outperforming the RTX 2060 Super's 7.2 TFLOPS by 11 percent. This gap accelerates training loops and simulations. FP16 follows suit at the same levels.
Which GPU has higher memory bandwidth?▾
RTX 2060 Super provides 448 GB/s, 55 percent more than RTX A2000's 288 GB/s. Higher bandwidth supports larger batches in memory-sensitive tasks. Both use GDDR6 memory.
How do power consumptions compare?▾
RTX A2000 draws 70W TDP, far lower than RTX 2060 Super's 175W. This efficiency lowers cloud hosting costs. Denser deployments become feasible with A2000.
What are the cloud pricing details?▾
RTX A2000 offers start from $0.06 per hour, averaging $0.23 per hour across three providers. No live offers exist for RTX 2060 Super. Pricing favors A2000 for rentals.
Which GPU is better for AI workloads?▾
RTX A2000's Ampere architecture and 8 TFLOPS deliver advantages in ML frameworks over Turing's 7.2 TFLOPS. Lower TDP enhances scalability. Bandwidth needs may favor RTX 2060 Super.
What VRAM options do they have?▾
RTX 2060 Super features 8 GB GDDR6 fixed. RTX A2000 offers 6 to 12 GB GDDR6 variants. Both suffice for entry-level models under 7 billion parameters.
Which is cheaper to rent, the RTX 2060 or the RTX A2000?▾
Cloud rental prices for both the RTX 2060 and RTX A2000 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 A2000?▾
The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find RTX 2060 and RTX A2000 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 A2000?▾
The RTX 2060 uses the Turing architecture (2019) while the RTX A2000 uses Ampere (2021). The RTX A2000 delivers 1.2x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2060.