Specifications Compared
| Spec | A30 | RTX-2060 |
|---|---|---|
| TDP | 165W | 160W |
| VRAM | 24 GB | 6-12 GB |
| CUDA Cores | 3,584 | 1,920 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 224 | 240 |
| FP16 Performance | 10.3 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 10.3 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 5.2 TFLOPS | |
| INT8 Performance | 165 TOPS | |
| Memory Bandwidth | 933 GB/s | 336 GB/s |
Performance Analysis
The A30 outperforms the RTX 2060 in raw compute with 10.3 TFLOPS for FP16 and FP32 versus 6.5 TFLOPS, translating to approximately 58 percent higher throughput for training and inference workloads using mixed precision. This FP16/FP32 parity in both GPUs supports efficient deep learning pipelines, but the A30's edge accelerates model convergence and reduces training times on large datasets.
Memory differences prove critical: the A30's 24 GB HBM2 and 933 GB/s bandwidth dwarf the RTX 2060's 6-12 GB GDDR6 and 336 GB/s, allowing larger batch sizes without out-of-memory errors in memory-bound tasks like transformer training. Higher bandwidth minimizes data transfer bottlenecks, improving effective utilization during inference on high-resolution inputs.
Similar TDPs of 165W and 160W imply comparable power efficiency per TFLOP, yet the A30's NVLink enables scaled multi-GPU performance unavailable on the RTX 2060. For real-world AI, these specs position the A30 for demanding professional use while the RTX 2060 suits lighter, cost-sensitive applications.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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When to Choose the A30
The A30 excels in memory-intensive scenarios such as training large language models requiring over 12 GB VRAM, where its 24 GB HBM2 prevents swapping and supports batch sizes infeasible on the RTX 2060's 6-12 GB. Data center deployments benefit from NVLink for multi-GPU synchronization at 933 GB/s bandwidth, ideal for distributed training.
Professional workflows involving high-fidelity simulations or fine-tuning with 10.3 TFLOPS FP32 compute favor the A30 over the RTX 2060's 6.5 TFLOPS.
When to Choose the RTX 2060
The RTX 2060 suits budget-constrained users with its cloud pricing from $0.02 per hour, averaging $0.04 per hour across two providers, making it viable for prototyping or small-scale inference where 6-12 GB GDDR6 suffices. Light workloads like basic fine-tuning or Stable Diffusion at reduced resolutions leverage its 6.5 TFLOPS without needing the A30's higher costs or unavailability.
Gaming-adjacent compute tasks or entry-level scientific computing on PCIe systems prefer the RTX 2060's accessibility over the enterprise-focused A30.
Use Cases
The A30's 24 GB HBM2 supports large model parameters and batch sizes exceeding the RTX 2060's 6-12 GB limit. Its 10.3 TFLOPS FP16 outperforms the RTX 2060's 6.5 TFLOPS for faster convergence.
933 GB/s bandwidth on the A30 handles high-throughput queries with bigger batches than the RTX 2060's 336 GB/s allows. 24 GB VRAM accommodates multiple concurrent sessions.
A30's 10.3 TFLOPS FP32 speeds up optimization on datasets fitting its 24 GB, avoiding fragmentation on RTX 2060's 6-12 GB.
RTX 2060's 6-12 GB GDDR6 suffices for standard image generation at 6.5 TFLOPS, with $0.02 per hour pricing ideal for hobbyists. A30 overkill for non-enterprise use.
NVLink and 933 GB/s bandwidth enable multi-GPU simulations on A30, surpassing RTX 2060's single-node limits with 10.3 TFLOPS FP32.
Frequently Asked Questions
What is the VRAM difference between A30 and RTX 2060?▾
The A30 offers 24 GB HBM2, while the RTX 2060 provides 6-12 GB GDDR6. This enables the A30 to handle larger models without memory constraints.
How do their compute performances compare?▾
A30 delivers 10.3 TFLOPS in FP16 and FP32, compared to RTX 2060's 6.5 TFLOPS in each. The A30 provides about 58 percent higher throughput for AI tasks.
What are the memory bandwidth specs?▾
A30 achieves 933 GB/s with HBM2, versus RTX 2060's 336 GB/s on GDDR6. Higher bandwidth reduces bottlenecks in data-heavy workloads.
Is there pricing information for cloud rental?▾
RTX 2060 starts at $0.02 per hour, averaging $0.04 per hour across two offers. No live offers exist for A30 currently.
What architectures do they use?▾
A30 uses Ampere from 2021, while RTX 2060 employs Turing from 2019. Ampere brings efficiency gains in tensor operations.
How do TDPs compare?▾
A30 has 165W TDP, RTX 2060 160W. Power draw is nearly identical despite A30's superior specs.
Which is cheaper to rent, the A30 or the RTX 2060?▾
Cloud rental prices for both the A30 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 A30 have compared to the RTX 2060?▾
The A30 has 24 GB of HBM2 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find A30 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 A30 and the RTX 2060?▾
The A30 uses the Ampere architecture (2021) while the RTX 2060 uses Turing (2019). The A30 delivers 1.6x the FP16 throughput and 2.8x the memory bandwidth of the RTX 2060.