Specifications Compared
| Spec | A30 | RTX A6000 |
|---|---|---|
| TDP | 165W | 300W |
| VRAM | 24 GB | 48 GB |
| CUDA Cores | 3,584 | 10,752 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Ampere | Ampere |
| FP16 (dense) | 165 TFLOPS | 154.8 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 330 TOPS | 309.7 TOPS |
| Interconnect | NVLink, PCIe 4.0 | NVLink, PCIe 4.0 |
| Tensor Cores | 224 | 336 |
| FP32 Performance | 10.3 TFLOPS | 38.7 TFLOPS |
| FP64 Performance | 5.2 TFLOPS | Not published |
| Memory Bandwidth | 933 GB/s | 768 GB/s |
| FP16 (with sparsity) | 330 TFLOPS | 309.6 TFLOPS |
| INT8 (with sparsity) | 661 TOPS | 619.4 TOPS |
Performance Analysis
The FP16 dense rating of 165 TFLOPS on the A30 exceeds the 154.8 TFLOPS dense rating on the RTX A6000 by a small margin while the FP32 rating of 10.3 TFLOPS on the A30 falls well below the 38.7 TFLOPS on the RTX A6000. This FP16 to FP32 delta indicates the A30 favors tensor workloads over general floating point operations in training and inference. Memory bandwidth of 933 GB/s on the A30 versus 768 GB/s on the RTX A6000 supports larger batch sizes in bandwidth limited scenarios when both GPUs run dense FP16 or sparse FP16 at 330 TFLOPS versus 309.6 TFLOPS.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
A30
A30 is not offered on-demand by any provider we track right now. See the A30 rental page for last-seen listed prices and a price alert.
RTX A6000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 8 | $0.44 | $3.54 | Deploy |
| Hyperstack | CANADA-1 | 1 | $0.50 | — | Deploy |
| QuantaCloud | us-midwest-1 | 2 | $0.54 | $1.08 | Deploy |
| Massed Compute | us-central-2 | 1 | $0.55 | — | Deploy |
| RunPod | global | 1 | $0.59 | — | Deploy |
7 providers in stock, 22 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts
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When to Choose the A30
The A30 fits power constrained deployments because its TDP of 165W is lower than 300W. Its memory bandwidth of 933 GB/s combined with FP16 dense performance of 165 TFLOPS suits inference tasks that benefit from HBM2 characteristics.
When to Choose the RTX A6000
The RTX A6000 fits memory intensive workloads because its 48 GB VRAM doubles the 24 GB capacity of the A30. Its FP32 performance of 38.7 TFLOPS supports scientific computing and fine tuning that rely on higher precision throughput.
Use Cases
The RTX A6000 supplies 48 GB VRAM and 38.7 TFLOPS FP32 for handling larger models during training runs.
The A30 delivers 165 TFLOPS FP16 dense and 165W TDP for efficient inference at scale.
The RTX A6000 provides 48 GB VRAM and 38.7 TFLOPS FP32 to accommodate fine tuning of sizable models.
The RTX A6000 offers 48 GB VRAM to support higher resolution image generation workloads.
The RTX A6000 achieves 38.7 TFLOPS FP32 for precision sensitive scientific calculations.
Frequently Asked Questions
How does FP16 dense performance compare between the A30 and RTX A6000?▾
The A30 reaches 165 TFLOPS FP16 dense while the RTX A6000 reaches 154.8 TFLOPS FP16 dense. The A30 also lists 330 TFLOPS FP16 with sparsity against 309.6 TFLOPS with sparsity on the RTX A6000.
Which GPU has higher FP32 performance?▾
The RTX A6000 delivers 38.7 TFLOPS FP32 compared to 10.3 TFLOPS FP32 on the A30. This difference affects workloads that depend on single precision calculations.
How do the TDP ratings differ between these two GPUs?▾
The A30 operates at a TDP of 165W while the RTX A6000 operates at a TDP of 300W. Both GPUs use PCIe form factors and support NVLink interconnect.
What INT8 performance figures are listed for each GPU?▾
The A30 lists 330 TOPS INT8 dense and 661 TOPS INT8 with sparsity. The RTX A6000 lists 309.7 TOPS INT8 dense and 619.4 TOPS INT8 with sparsity.
Which is cheaper to rent, the A30 or the RTX A6000?▾
Cloud rental prices for both the A30 and RTX A6000 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 A6000?▾
The A30 has 24 GB of HBM2 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find A30 and RTX A6000 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 A6000?▾
The A30 uses the Ampere architecture (2021) while the RTX A6000 uses Ampere (2020). The A30 delivers 1.1x the dense FP16 throughput (165 vs 154.8 TFLOPS, both without sparsity) and 1.2x the memory bandwidth of the RTX A6000.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A30 and the RTX A6000. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent A30Every current offer by provider, daily price history and a price alert.
- Rent RTX A6000Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.