Specifications Compared
| Spec | RTX 6000 Ada | RTX A6000 |
|---|---|---|
| TDP | 300W | 300W |
| VRAM | 48 GB | 48 GB |
| CUDA Cores | 18,176 | 10,752 |
| FP8 (dense) | 728.5 TFLOPS | Not published |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| FP16 (dense) | 364 TFLOPS | 154.8 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 728.5 TOPS | 309.7 TOPS |
| Interconnect | PCIe 4.0 | NVLink, PCIe 4.0 |
| Tensor Cores | 568 | 336 |
| FP32 Performance | 91.1 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 960 GB/s | 768 GB/s |
| FP8 (with sparsity) | 1,457 TFLOPS | Not published |
| FP16 (with sparsity) | 728 TFLOPS | 309.6 TFLOPS |
| INT8 (with sparsity) | 1,457 TOPS | 619.4 TOPS |
Performance Analysis
Dense FP16 performance reaches 364 TFLOPS on the RTX 6000 Ada compared with 154.8 TFLOPS on the RTX A6000 while sparse FP16 reaches 728 TFLOPS versus 309.6 TFLOPS. This gap means training and inference steps that rely on dense FP16 complete in fewer iterations on the RTX 6000 Ada and the same holds when sparsity is enabled. Memory bandwidth of 960 GB/s versus 768 GB/s permits larger batch sizes before data movement becomes the limiter during either training or inference. FP32 throughput of 91.1 TFLOPS versus 38.7 TFLOPS further widens the advantage for precision sensitive phases of model development.
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.
RTX 6000 Ada
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| QuantaCloud | us-midwest-1 | 8 | $0.78 | $6.21 | Deploy |
| Massed Compute | us-central-2 | 2 | $0.79 | $1.58 | Deploy |
| LeaderGPU | The Netherlands | 8 | $0.91 | $7.29 | Deploy |
| VERDA | FIN-HEL | 1 | $1.35 | — | Deploy |
| DigitalOcean | Toronto 1 | 1 | $1.57 | — | Deploy |
5 providers in stock, 18 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts
RTX A6000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 8 | $0.44 | $3.54 | Deploy |
| QuantaCloud | us-midwest-1 | 2 | $0.48 | $0.96 | Deploy |
| Massed Compute | us-central-2 | 8 | $0.55 | $4.40 | Deploy |
| Paperspace | ams1 | 2 | $1.89 | $3.78 | Deploy |
4 providers in stock, 37 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts
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When to Choose the RTX 6000 Ada
The RTX 6000 Ada suits workloads that require the highest dense FP16 throughput of 364 TFLOPS or sparse FP16 throughput of 728 TFLOPS. Its 960 GB/s memory bandwidth supports larger batches in memory intensive tasks where the RTX A6000 bandwidth of 768 GB/s would constrain scale.
When to Choose the RTX A6000
The RTX A6000 fits deployments that need NVLink interconnect alongside 48 GB GDDR6 VRAM and 309.7 TOPS dense INT8 performance. It remains viable when the additional bandwidth and FP16 figures of the RTX 6000 Ada exceed actual requirements.
Use Cases
The RTX 6000 Ada supplies 364 TFLOPS dense FP16 and 960 GB/s bandwidth that allow larger batches than the 154.8 TFLOPS and 768 GB/s of the RTX A6000.
Dense FP16 performance of 364 TFLOPS on the RTX 6000 Ada exceeds 154.8 TFLOPS on the RTX A6000 and supports higher throughput at identical 48 GB VRAM.
FP32 throughput of 91.1 TFLOPS combined with 364 TFLOPS dense FP16 on the RTX 6000 Ada accelerates gradient updates relative to 38.7 TFLOPS and 154.8 TFLOPS on the RTX A6000.
The RTX 6000 Ada memory bandwidth of 960 GB/s and dense FP16 of 364 TFLOPS enable faster iteration than the 768 GB/s and 154.8 TFLOPS of the RTX A6000.
FP32 performance of 91.1 TFLOPS on the RTX 6000 Ada surpasses 38.7 TFLOPS on the RTX A6000 while both maintain 48 GB GDDR6.
Frequently Asked Questions
How does FP16 performance differ between the two GPUs?▾
The RTX 6000 Ada provides 364 TFLOPS dense FP16 and 728 TFLOPS with sparsity. The RTX A6000 provides 154.8 TFLOPS dense FP16 and 309.6 TFLOPS with sparsity.
Which GPU offers higher memory bandwidth?▾
The RTX 6000 Ada supplies 960 GB/s memory bandwidth. The RTX A6000 supplies 768 GB/s memory bandwidth.
What interconnect options exist on each card?▾
The RTX 6000 Ada uses PCIe 4.0. The RTX A6000 supports both NVLink and PCIe 4.0.
How do the FP32 figures compare?▾
The RTX 6000 Ada delivers 91.1 TFLOPS FP32. The RTX A6000 delivers 38.7 TFLOPS FP32.
Which architecture is newer?▾
The RTX 6000 Ada uses Ada Lovelace architecture released in 2022. The RTX A6000 uses Ampere architecture released in 2020.
Which is cheaper to rent, the RTX 6000 Ada or the RTX A6000?▾
Cloud rental prices for both the RTX 6000 Ada 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 RTX 6000 Ada have compared to the RTX A6000?▾
The RTX 6000 Ada has 48 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find RTX 6000 Ada 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 RTX 6000 Ada and the RTX A6000?▾
The RTX 6000 Ada uses the Ada Lovelace architecture (2022) while the RTX A6000 uses Ampere (2020). The RTX 6000 Ada delivers 2.4x the dense FP16 throughput (364 vs 154.8 TFLOPS, both without sparsity) and 1.3x the memory bandwidth of the RTX A6000.
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Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 6000 Ada 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 RTX 6000 ADAEvery 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.
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- All GPUsEvery GPU we track, with current lows and provider counts.