Specifications Compared
| Spec | A16 | Quadro RTX 8000 |
|---|---|---|
| TDP | 250W | 260W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 1,280 | 4,608 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Turing |
| FP16 (dense) | 17.9 TFLOPS | 130.5 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 35.9 TOPS | Not published |
| Interconnect | PCIe 4.0 | NVLink, PCIe 3.0 |
| Tensor Cores | 40 | 576 |
| FP32 Performance | 4.5 TFLOPS | 16.3 TFLOPS |
| Memory Bandwidth | 200 GB/s | 672 GB/s |
| FP16 (with sparsity) | 35.9 TFLOPS | Not published |
| INT8 (with sparsity) | 71.8 TOPS | Not published |
Performance Analysis
The FP16 dense performance of the Quadro RTX 8000 reaches 130.5 TFLOPS compared to the 17.9 TFLOPS dense FP16 of the A16. This difference means the Quadro RTX 8000 handles larger scale training and inference tasks with higher throughput in dense FP16 operations. The FP32 performance stands at 16.3 TFLOPS for the Quadro RTX 8000 versus 4.5 TFLOPS for the A16. Memory bandwidth of 672 GB/s on the Quadro RTX 8000 exceeds the 200 GB/s on the A16. Higher bandwidth supports larger batch sizes during model execution. The A16 offers INT8 dense at 35.9 TOPS while the Quadro RTX 8000 does not publish an INT8 figure. The A16 also lists FP16 with sparsity at 35.9 TFLOPS and INT8 with sparsity at 71.8 TOPS.
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.
A16
A16 is not offered on-demand by any provider we track right now. See the A16 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 A16
The A16 suits scenarios with power constraints at 250 W TDP and requirements for INT8 dense performance of 35.9 TOPS. Users select the A16 when memory needs stay below 16 GB GDDR6 and PCIe 4.0 interconnect meets the system requirements.
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 fits cases needing 48 GB GDDR6 memory and 672 GB/s bandwidth along with 130.5 TFLOPS dense FP16. Selection occurs for workloads that benefit from NVLink connectivity and higher FP32 at 16.3 TFLOPS.
Use Cases
The Quadro RTX 8000 provides 130.5 TFLOPS dense FP16 and 48 GB GDDR6 memory.
The Quadro RTX 8000 supports 672 GB/s bandwidth and 16.3 TFLOPS FP32.
The Quadro RTX 8000 delivers 130.5 TFLOPS dense FP16 and higher memory capacity.
The A16 lists 4.5 TFLOPS FP32 at 250 W TDP while the Quadro RTX 8000 lists 16.3 TFLOPS FP32 at 260 W TDP.
Frequently Asked Questions
What memory configurations distinguish the A16 from the Quadro RTX 8000?▾
The A16 provides 16 GB GDDR6 at 200 GB/s bandwidth. The Quadro RTX 8000 provides 48 GB GDDR6 at 672 GB/s bandwidth.
How do the FP16 dense figures compare between these GPUs?▾
The A16 lists 17.9 TFLOPS dense FP16. The Quadro RTX 8000 lists 130.5 TFLOPS dense FP16.
What TDP values apply to the A16 and Quadro RTX 8000?▾
The A16 operates at 250 W TDP. The Quadro RTX 8000 operates at 260 W TDP.
Which interconnect options exist on each GPU?▾
The A16 uses PCIe 4.0. The Quadro RTX 8000 supports NVLink and PCIe 3.0.
What FP32 performance does each GPU deliver?▾
The A16 delivers 4.5 TFLOPS FP32. The Quadro RTX 8000 delivers 16.3 TFLOPS FP32.
Does the A16 publish sparsity figures for certain precisions?▾
The A16 lists FP16 with sparsity at 35.9 TFLOPS and INT8 with sparsity at 71.8 TOPS.
Which is cheaper to rent, the A16 or the Quadro RTX 8000?▾
Cloud rental prices for both the A16 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 A16 have compared to the Quadro RTX 8000?▾
The A16 has 16 GB of GDDR6 memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find A16 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 A16 and the Quadro RTX 8000?▾
The A16 uses the Ampere architecture (2021) while the Quadro RTX 8000 uses Turing (2018). The Quadro RTX 8000 delivers 7.3x the dense FP16 throughput (130.5 vs 17.9 TFLOPS, both without sparsity) and 3.4x the memory bandwidth of the A16.
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 A16 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 A16Every 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.