Specifications Compared
| Spec | RTX-3070 | RTX-A2000 |
|---|---|---|
| TDP | 220W | 70W |
| VRAM | 8 GB | 6-12 GB |
| CUDA Cores | 5,888 | 3,328 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 104 |
| FP16 Performance | 20.3 TFLOPS | 8 TFLOPS |
| FP32 Performance | 20.3 TFLOPS | 8 TFLOPS |
| Memory Bandwidth | 448 GB/s | 288 GB/s |
Performance Analysis
Higher FP16 and FP32 throughput on the RTX 3070, at 20.3 TFLOPS each, enables faster model training and inference compared to the RTX A2000's 8 TFLOPS: training large neural networks proceeds 2.5 times quicker on the RTX 3070, while inference latency drops similarly for FP16-optimized workloads. The identical FP16 to FP32 ratio on both GPUs suits mixed-precision training, but the RTX 3070's raw power accelerates convergence in deep learning pipelines.
Memory bandwidth impacts batch sizes directly: the RTX 3070's 448 GB/s supports larger batches without spilling to system RAM, ideal for datasets exceeding 6 GB, whereas the RTX A2000's 288 GB/s limits effective batch sizes by 36 percent in memory-bound tasks. The RTX 3070's fixed 8 GB VRAM balances most AI models, while the RTX A2000's 6 to 12 GB options handle variable needs but at reduced speed. Power efficiency favors the RTX A2000 at 70W TDP for dense server deployments, yielding lower cooling costs despite higher average pricing of $0.23 per hour.
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 3070
The RTX 3070 excels in high-throughput workloads like model training and image generation. Its 20.3 TFLOPS FP32 performance and 448 GB/s bandwidth enable processing batches up to 55 percent larger than on the RTX A2000, reducing training times significantly. At from $0.04 per hour, it delivers superior value for budget-conscious users needing 8 GB VRAM capacity across six cloud offers.
When to Choose the RTX A2000
The RTX A2000 suits low-power inference and edge deployments. Its 70W TDP consumes one-third the power of the RTX 3070's 220W, enabling higher density in servers and reduced operational costs. Professionals benefit from 6 to 12 GB VRAM options for certified workstation tasks, despite average pricing of $0.23 per hour.
Use Cases
The RTX 3070's 20.3 TFLOPS FP16 performance trains LLMs 2.5 times faster than the RTX A2000's 8 TFLOPS. Higher 448 GB/s bandwidth supports larger batches for efficient convergence.
RTX 3070 accelerates high-volume inference with 20.3 TFLOPS, but RTX A2000's 70W TDP suits low-latency edge serving. Choice depends on power constraints versus throughput needs.
RTX 3070's 8 GB VRAM and 448 GB/s bandwidth handle fine-tuning datasets effectively, outperforming RTX A2000's lower 288 GB/s by enabling bigger batches.
RTX 3070 generates images faster via 20.3 TFLOPS FP16, with 448 GB/s bandwidth minimizing bottlenecks in diffusion models compared to RTX A2000's 8 TFLOPS.
RTX 3070's 20.3 TFLOPS FP32 suits simulations, doubling RTX A2000's 8 TFLOPS for complex computations. Its pricing from $0.04 per hour maximizes value.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 3070 provides 20.3 TFLOPS in FP16 and FP32, surpassing the RTX A2000's 8 TFLOPS by 2.5 times. This gap accelerates training and inference tasks significantly.
How does VRAM compare between RTX 3070 and RTX A2000?▾
RTX 3070 offers fixed 8 GB GDDR6 VRAM, while RTX A2000 ranges from 6 to 12 GB GDDR6. The RTX 3070 suits most models, but RTX A2000 scales for larger ones.
What are the power consumption differences?▾
RTX 3070 draws 220W TDP, compared to RTX A2000's 70W TDP. The RTX A2000 enables denser deployments with lower cooling needs.
Which is cheaper in the cloud?▾
RTX 3070 starts at $0.04 per hour with average $0.08 per hour across 6 offers, versus RTX A2000's $0.06 per hour start and $0.23 per hour average across 3 offers. RTX 3070 provides better cost efficiency.
Does memory bandwidth affect AI workloads?▾
RTX 3070's 448 GB/s bandwidth supports 55 percent larger batch sizes than RTX A2000's 288 GB/s. This reduces training times in memory-bound AI tasks.
Are both GPUs suitable for machine learning?▾
Both leverage Ampere architecture for ML, but RTX 3070's higher 20.3 TFLOPS excels in training, while RTX A2000's 70W TDP fits inference servers.
Which is cheaper to rent, the RTX 3070 or the RTX A2000?▾
Cloud rental prices for both the RTX 3070 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 3070 have compared to the RTX A2000?▾
The RTX 3070 has 8 GB of GDDR6 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find RTX 3070 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 3070 and the RTX A2000?▾
The RTX 3070 uses the Ampere architecture (2020) while the RTX A2000 uses Ampere (2021). The RTX 3070 delivers 2.5x the FP16 throughput and 1.6x the memory bandwidth of the RTX A2000.