Specifications Compared
| Spec | A30 | RTX-2070 |
|---|---|---|
| TDP | 165W | 175W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 3,584 | 2,304 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 224 | 288 |
| FP16 Performance | 10.3 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 10.3 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 5.2 TFLOPS | |
| INT8 Performance | 165 TOPS | |
| Memory Bandwidth | 933 GB/s | 448 GB/s |
Performance Analysis
FP16 and FP32 performance differences are substantial: the A30 achieves 10.3 TFLOPS in both formats, exceeding the RTX 2070's 7.5 TFLOPS by 37 percent. This translates to faster model training and inference in deep learning pipelines, where FP16 accelerates mixed-precision computations common in frameworks like PyTorch or TensorFlow. For training large neural networks, the A30 processes more operations per second, reducing epoch times.
Memory capacity and bandwidth define practical limits: the A30's 24 GB HBM2 versus 8 GB GDDR6 allows larger batch sizes without out-of-memory errors, critical for training models like transformers. Bandwidth at 933 GB/s on the A30 doubles the RTX 2070's 448 GB/s, minimizing bottlenecks in data-heavy inference or simulations where frequent memory access occurs. Smaller batches on the RTX 2070 may require gradient accumulation, slowing effective throughput.
Power efficiency favors the A30 with 165 W TDP compared to 175 W, yielding 62.4 GFLOPS per watt in FP32 versus 42.9 GFLOPS per watt on the RTX 2070. This matters in sustained cloud runs, lowering operational costs indirectly through better density.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the A30
The A30 excels in professional workloads demanding high memory capacity: its 24 GB HBM2 handles large language models or scientific simulations that exceed the RTX 2070's 8 GB GDDR6 limit. Scenarios include training datasets over 16 GB or inference with high-resolution inputs, where 933 GB/s bandwidth prevents slowdowns.
Datacenter environments benefit from the A30's Ampere efficiency at 165 W TDP, supporting dense multi-GPU setups via NVLink for distributed training.
When to Choose the RTX 2070
The RTX 2070 suits budget-conscious users with its cloud pricing from $0.02 per hour, averaging $0.04 per hour across live offers. Light machine learning tasks, gaming, or prototyping fit within its 8 GB GDDR6, avoiding overkill for models under 4 GB active memory.
Consumer setups or intermittent inference leverage Turing's 7.5 TFLOPS FP16 performance adequately, especially where cost trumps capacity.
Use Cases
The A30's 24 GB HBM2 supports large transformer models that exceed the RTX 2070's 8 GB GDDR6. Higher 10.3 TFLOPS FP16 enables faster epochs.
933 GB/s bandwidth on the A30 handles high-throughput queries with bigger batches. RTX 2070's 448 GB/s limits concurrent users.
24 GB VRAM accommodates full fine-tuning of mid-sized LLMs without sharding. A30's 37 percent FP32 edge over 7.5 TFLOPS speeds iterations.
RTX 2070's 8 GB suffices for standard image generation at 7.5 TFLOPS FP16. Low $0.02 per hour pricing fits frequent creative use.
A30's 933 GB/s bandwidth accelerates simulations with large arrays beyond RTX 2070's 448 GB/s capacity.
Frequently Asked Questions
Which has more VRAM: A30 or RTX 2070?▾
The A30 provides 24 GB HBM2 VRAM, triple the RTX 2070's 8 GB GDDR6. This allows the A30 to manage larger models in training or inference.
How do FP32 performances compare between A30 and RTX 2070?▾
A30 delivers 10.3 TFLOPS FP32, 37 percent above RTX 2070's 7.5 TFLOPS. This benefits general compute tasks like simulations.
What is the memory bandwidth difference?▾
A30 offers 933 GB/s, more than double RTX 2070's 448 GB/s. Higher bandwidth reduces latency in data transfer-heavy workloads.
RTX 2070 cloud pricing details?▾
RTX 2070 starts at $0.02 per hour, averaging $0.04 per hour over two providers. A30 has no live offers currently.
TDP comparison for A30 vs RTX 2070?▾
A30 uses 165 W TDP, lower than RTX 2070's 175 W. This improves efficiency at 62.4 GFLOPS per watt versus 42.9.
Better for ML training: A30 or RTX 2070?▾
A30 is superior with 24 GB VRAM and 10.3 TFLOPS FP16 for large batches. RTX 2070 fits small-scale training at lower cost.
Which is cheaper to rent, the A30 or the RTX 2070?▾
Cloud rental prices for both the A30 and RTX 2070 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 A30 have compared to the RTX 2070?▾
The A30 has 24 GB of HBM2 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find A30 and RTX 2070 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 A30 and the RTX 2070?▾
The A30 uses the Ampere architecture (2021) while the RTX 2070 uses Turing (2018). The A30 delivers 1.4x the FP16 throughput and 2.1x the memory bandwidth of the RTX 2070.