Specifications Compared
| Spec | A30 | Quadro RTX 8000 |
|---|---|---|
| TDP | 165W | 260W |
| VRAM | 24 GB | 48 GB |
| CUDA Cores | 3,584 | 4,608 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Ampere | Turing |
| FP16 (dense) | 165 TFLOPS | 130.5 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 330 TOPS | Not published |
| Interconnect | NVLink, PCIe 4.0 | NVLink, PCIe 3.0 |
| Tensor Cores | 224 | 576 |
| FP32 Performance | 10.3 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 5.2 TFLOPS | Not published |
| Memory Bandwidth | 933 GB/s | 672 GB/s |
| FP16 (with sparsity) | 330 TFLOPS | Not published |
| INT8 (with sparsity) | 661 TOPS | Not published |
Performance Analysis
The A30 achieves 165 TFLOPS dense FP16 compared to 130.5 TFLOPS dense FP16 on the Quadro RTX 8000 which indicates faster dense tensor operations for training and inference on the A30. The FP32 rating of 10.3 TFLOPS on the A30 versus 16.3 TFLOPS on the Quadro RTX 8000 shows the Quadro RTX 8000 holds an advantage in single precision workloads. Memory bandwidth of 933 GB/s on the A30 exceeds the 672 GB/s on the Quadro RTX 8000 and this difference supports larger effective batch sizes in bandwidth limited scenarios despite the A30 having 24 GB versus 48 GB total memory. The 165W TDP on the A30 versus 260W TDP on the Quadro RTX 8000 further affects sustained performance in dense FP16 and dense FP32 comparisons.
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.
Quadro RTX 8000
Quadro RTX 8000 is not offered on-demand by any provider we track right now. See the Quadro RTX 8000 rental page for last-seen listed prices and a price alert.
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When to Choose the A30
The A30 suits scenarios that prioritize 165 TFLOPS dense FP16 performance and 933 GB/s memory bandwidth at 165W TDP. Workloads such as dense tensor computations benefit from the Ampere architecture and INT8 dense rating of 330 TOPS.
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 fits cases that require 48 GB memory capacity and 16.3 TFLOPS FP32 throughput at the cost of 260W TDP. Applications needing greater VRAM for large models gain from the GDDR6 configuration.
Use Cases
The Quadro RTX 8000 supplies 48 GB memory which accommodates larger models during training compared to the 24 GB on the A30.
The A30 provides 165 TFLOPS dense FP16 which exceeds the 130.5 TFLOPS dense FP16 on the Quadro RTX 8000 for inference throughput.
Both GPUs handle fine-tuning with the A30 offering higher dense FP16 rates and the Quadro RTX 8000 offering more memory capacity.
The Quadro RTX 8000 includes 48 GB memory that supports higher resolution image generation workloads.
The Quadro RTX 8000 delivers 16.3 TFLOPS FP32 which surpasses the 10.3 TFLOPS FP32 on the A30 for precision sensitive computations.
Frequently Asked Questions
What is the memory difference between A30 and Quadro RTX 8000?▾
The A30 contains 24 GB HBM2 memory while the Quadro RTX 8000 contains 48 GB GDDR6 memory.
How does dense FP16 performance compare on these GPUs?▾
The A30 reaches 165 TFLOPS in dense FP16 while the Quadro RTX 8000 reaches 130.5 TFLOPS in dense FP16.
What are the power requirements for each GPU?▾
The A30 operates at 165W TDP and the Quadro RTX 8000 operates at 260W TDP.
Which GPU has higher memory bandwidth?▾
The A30 provides 933 GB/s memory bandwidth compared to 672 GB/s on the Quadro RTX 8000.
Do both GPUs support NVLink?▾
Both the A30 and Quadro RTX 8000 include NVLink interconnect support.
What FP32 performance do these GPUs offer?▾
The A30 delivers 10.3 TFLOPS FP32 and the Quadro RTX 8000 delivers 16.3 TFLOPS FP32.
Which is cheaper to rent, the A30 or the Quadro RTX 8000?▾
Cloud rental prices for both the A30 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The A30 has 24 GB of HBM2 memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find A30 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The A30 uses the Ampere architecture (2021) while the Quadro RTX 8000 uses Turing (2018). The A30 delivers 1.3x the dense FP16 throughput (165 vs 130.5 TFLOPS, both without sparsity) and 1.4x the memory bandwidth of the Quadro RTX 8000.
Rent these GPUs
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Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A30 and the Quadro RTX 8000. 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 QUADRO RTX 8000Every 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.