Specifications Compared
| Spec | Quadro P4000 | RTX 6000 Ada |
|---|---|---|
| TDP | 105W | 300W |
| VRAM | 8 GB | 48 GB |
| CUDA Cores | 1,792 | 18,176 |
| FP8 (dense) | Not published | 728.5 TFLOPS |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| FP16 (dense) | Not published | 364 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | Not published | 728.5 TOPS |
| Interconnect | PCIe 3.0 | PCIe 4.0 |
| Tensor Cores | Not published | 568 |
| FP32 Performance | 5.3 TFLOPS | 91.1 TFLOPS |
| Memory Bandwidth | 243 GB/s | 960 GB/s |
| FP8 (with sparsity) | Not published | 1,457 TFLOPS |
| FP16 (with sparsity) | Not published | 728 TFLOPS |
| INT8 (with sparsity) | Not published | 1,457 TOPS |
Performance Analysis
The FP32 rating of 91.1 TFLOPS on the RTX 6000 Ada exceeds the 5.3 TFLOPS of the Quadro P4000. The dense FP16 performance of 364 TFLOPS on the RTX 6000 Ada enables faster training iterations compared to the Quadro P4000 which lacks a published FP16 value. Memory bandwidth of 960 GB/s versus 243 GB/s allows the RTX 6000 Ada to support larger batch sizes in memory intensive workloads. When comparing like figures the dense FP16 to dense FP16 shows the RTX 6000 Ada advantage while the sparse FP16 figure of 728 TFLOPS further extends that lead for workloads that exploit sparsity. The 48 GB VRAM capacity versus 8 GB directly impacts the scale of models that fit on a single GPU. The dense FP8 figure of 728.5 TFLOPS on the RTX 6000 Ada provides additional acceleration options not available on the Quadro P4000.
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.
Quadro P4000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Paperspace | ams1 | 1 | $0.51 | — | Deploy |
1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P4000 offers, price history and alerts
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-3 | 2 | $0.79 | $1.58 | Deploy |
| LeaderGPU | The Netherlands | 8 | $0.91 | $7.29 | Deploy |
3 providers in stock, 16 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts
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When to Choose the Quadro P4000
The Quadro P4000 suits deployments that require a TDP of only 105W and 8 GB GDDR5 memory. Its PCIe 3.0 interconnect matches older server infrastructures where the 5.3 TFLOPS FP32 performance meets basic visualization or compute needs without exceeding power limits. The lower power draw supports sustained operation in constrained environments.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada fits applications that demand 48 GB GDDR6 memory and 91.1 TFLOPS FP32 performance. Its dense FP16 rating of 364 TFLOPS supports advanced AI workloads that exceed the capabilities of the Quadro P4000. The 960 GB/s bandwidth enables efficient handling of large datasets.
Use Cases
The 48 GB GDDR6 VRAM and 364 TFLOPS dense FP16 of the RTX 6000 Ada exceed the 8 GB and unpublished FP16 of the Quadro P4000.
The 960 GB/s bandwidth and 728.5 TFLOPS dense INT8 of the RTX 6000 Ada support larger models than the 243 GB/s and 5.3 TFLOPS FP32 of the Quadro P4000.
The 48 GB VRAM capacity and 91.1 TFLOPS FP32 of the RTX 6000 Ada handle parameter updates beyond the limits of the Quadro P4000 8 GB VRAM.
The 48 GB GDDR6 and 728 TFLOPS sparse FP16 of the RTX 6000 Ada enable higher resolution generation than the Quadro P4000 8 GB and 5.3 TFLOPS FP32.
The 105W TDP of the Quadro P4000 fits power constrained scientific simulations where the 5.3 TFLOPS FP32 suffices.
Frequently Asked Questions
How does FP32 performance compare between these GPUs?▾
The RTX 6000 Ada delivers 91.1 TFLOPS in FP32. The Quadro P4000 delivers 5.3 TFLOPS in FP32. The ratio favors the RTX 6000 Ada for compute heavy tasks.
What memory bandwidth do the Quadro P4000 and RTX 6000 Ada provide?▾
The Quadro P4000 provides 243 GB/s. The RTX 6000 Ada provides 960 GB/s. Higher bandwidth supports larger batch processing on the RTX 6000 Ada.
Does the RTX 6000 Ada list dense FP16 performance?▾
The RTX 6000 Ada lists 364 TFLOPS dense FP16. The Quadro P4000 has no published FP16 figure. The dense value applies to standard tensor operations.
What TDP values apply to each GPU?▾
The Quadro P4000 has a TDP of 105W. The RTX 6000 Ada has a TDP of 300W. Power requirements differ significantly between the two.
Which interconnect does each GPU use?▾
The Quadro P4000 uses PCIe 3.0. The RTX 6000 Ada uses PCIe 4.0. The newer interconnect appears on the RTX 6000 Ada.
Which is cheaper to rent, the Quadro P4000 or the RTX 6000 Ada?▾
Cloud rental prices for both the Quadro P4000 and RTX 6000 Ada 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 Quadro P4000 have compared to the RTX 6000 Ada?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 6000 Ada 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 Quadro P4000 and the RTX 6000 Ada?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 6000 Ada uses Ada Lovelace (2022). The Quadro P4000 has 8 GB of GDDR5 at 243 GB/s; the RTX 6000 Ada has 48 GB of GDDR6 at 960 GB/s, so the RTX 6000 Ada has 4.0x the memory bandwidth of the Quadro P4000.
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 Quadro P4000 and the RTX 6000 Ada. 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 QUADRO P4000Every current offer by provider, daily price history and a price alert.
- Rent RTX 6000 ADAEvery 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.