Specifications Compared
| Spec | Quadro P4000 | RTX 3070 |
|---|---|---|
| TDP | 105W | 220W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 1,792 | 5,888 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Ampere |
| FP16 (dense) | Not published | 40.6 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | Not published | 162.6 TOPS |
| Interconnect | PCIe 3.0 | PCIe 4.0 |
| Tensor Cores | Not published | 184 |
| FP32 Performance | 5.3 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 243 GB/s | 448 GB/s |
| FP16 (with sparsity) | Not published | 81.3 TFLOPS |
| INT8 (with sparsity) | Not published | 325.2 TOPS |
Performance Analysis
The RTX 3070 FP32 rating of 20.3 TFLOPS exceeds the Quadro P4000 figure of 5.3 TFLOPS by a ratio of approximately four to one. Dense FP16 performance reaches 40.6 TFLOPS on the RTX 3070 while the Quadro P4000 figure remains unpublished. Memory bandwidth of 448 GB/s on the RTX 3070 versus 243 GB/s on the Quadro P4000 permits larger batch sizes during inference workloads. Dense INT8 throughput of 162.6 TOPS on the RTX 3070 further widens the gap for quantized models compared with the unpublished Quadro P4000 rating.
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 3070
RTX 3070 is not offered on-demand by any provider we track right now. See the RTX 3070 rental page for last-seen listed prices and a price alert.
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When to Choose the Quadro P4000
The Quadro P4000 suits environments constrained to 105W TDP and PCIe 3.0 interconnects. Workloads that require only 5.3 TFLOPS FP32 and 243 GB/s bandwidth avoid the higher 220W power draw of newer cards. Legacy software certified for Pascal architecture benefits from the Quadro P4000 without requiring PCIe 4.0 support.
When to Choose the RTX 3070
The RTX 3070 fits applications that need dense FP16 at 40.6 TFLOPS or dense INT8 at 162.6 TOPS. Memory bandwidth of 448 GB/s supports larger batches than the 243 GB/s available on the older card. PCIe 4.0 interconnect and Ampere architecture enable higher throughput in 2020 era software stacks.
Use Cases
The RTX 3070 supplies dense FP16 at 40.6 TFLOPS against the unpublished Quadro P4000 rating.
Dense INT8 at 162.6 TOPS on the RTX 3070 exceeds the Quadro P4000 capabilities while 448 GB/s bandwidth supports larger batches than 243 GB/s.
The RTX 3070 FP32 rating of 20.3 TFLOPS and dense FP16 at 40.6 TFLOPS provide greater headroom than the Quadro P4000 5.3 TFLOPS FP32.
The RTX 3070 memory bandwidth of 448 GB/s and dense FP16 at 40.6 TFLOPS accelerate image generation workloads beyond the Quadro P4000 limits.
The Quadro P4000 at 105W TDP meets modest 5.3 TFLOPS FP32 needs while the RTX 3070 at 20.3 TFLOPS FP32 handles larger simulations.
Frequently Asked Questions
What is the FP32 performance difference between Quadro P4000 and RTX 3070?▾
The Quadro P4000 provides 5.3 TFLOPS FP32 while the RTX 3070 reaches 20.3 TFLOPS FP32.
How does memory bandwidth compare on these two GPUs?▾
The Quadro P4000 lists 243 GB/s bandwidth and the RTX 3070 lists 448 GB/s bandwidth with both cards using 8 GB VRAM.
Which GPU uses less power?▾
The Quadro P4000 TDP is 105W compared with the RTX 3070 TDP of 220W.
Can the Quadro P4000 run dense FP16 workloads?▾
The Quadro P4000 FP16 rating is not published by the vendor so no comparison is possible against the RTX 3070 dense FP16 rating of 40.6 TFLOPS.
What interconnect does each card use?▾
The Quadro P4000 uses PCIe 3.0 while the RTX 3070 uses PCIe 4.0.
Which is cheaper to rent, the Quadro P4000 or the RTX 3070?▾
Cloud rental prices for both the Quadro P4000 and RTX 3070 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 3070?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 3070 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 3070?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 3070 uses Ampere (2020). The Quadro P4000 has 8 GB of GDDR5 at 243 GB/s; the RTX 3070 has 8 GB of GDDR6 at 448 GB/s, so the RTX 3070 has 1.8x 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 3070. 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 3070Every 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.