Specifications Compared
| Spec | MI300X | Quadro P4000 |
|---|---|---|
| TDP | 750W | 105W |
| VRAM | 192 GB | 8 GB |
| CUDA Cores | Not published | 1,792 |
| FP8 (dense) | 2,614.9 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR5 |
| Architecture | CDNA 3 | Pascal |
| FP16 (dense) | 1,307.4 TFLOPS | Not published |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 2,614.9 TOPS | Not published |
| Interconnect | Infinity Fabric, PCIe 5.0 | PCIe 3.0 |
| FP32 Performance | 163.4 TFLOPS | 5.3 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 243 GB/s |
| FP8 (with sparsity) | 5,229.8 TFLOPS | Not published |
| FP16 (with sparsity) | 2,614.9 TFLOPS | Not published |
| INT8 (with sparsity) | 5,229.8 TOPS | Not published |
Performance Analysis
The MI300X provides 1307.4 TFLOPS FP16 dense performance and 163.4 TFLOPS FP32 performance whereas the Quadro P4000 lists 5.3 TFLOPS FP32 performance with FP16 figures not published by the vendor. This FP16 dense to FP32 ratio on the MI300X supports larger batch sizes during training and inference compared with the older card. Memory bandwidth of 5300 GB/s on the MI300X versus 243 GB/s on the Quadro P4000 further enables the MI300X to handle substantially higher data throughput in dense FP16 operations and in sparse FP16 operations at 2614.9 TFLOPS.
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.
MI300X
1 provider in stock, 1 offer. All MI300X offers, price history and alerts
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
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When to Choose the MI300X
The MI300X suits scenarios that require 192 GB HBM3 capacity and 5300 GB/s bandwidth for large scale tensor operations. Its 1307.4 TFLOPS FP16 dense rating and 2614.9 TFLOPS FP8 dense rating make it appropriate for memory heavy workloads that exceed the 8 GB limit of the Quadro P4000.
When to Choose the Quadro P4000
The Quadro P4000 fits environments that operate within 8 GB GDDR5 capacity and 105W TDP limits. Its PCIe form factor and 5.3 TFLOPS FP32 rating support lighter graphics and compute tasks where the 750W TDP of the MI300X exceeds power or thermal constraints.
Use Cases
The MI300X supplies 192 GB HBM3 memory that accommodates models too large for the 8 GB GDDR5 on the Quadro P4000.
The MI300X delivers 1307.4 TFLOPS FP16 dense performance and 5300 GB/s bandwidth that support higher throughput than the Quadro P4000.
The MI300X provides 2614.9 TFLOPS FP8 dense performance and 192 GB capacity that allow fine-tuning of models beyond the Quadro P4000 limits.
The Quadro P4000 meets basic image generation needs within its 8 GB GDDR5 and 5.3 TFLOPS FP32 specifications at lower power.
The MI300X offers 163.4 TFLOPS FP32 performance and 5300 GB/s bandwidth that accelerate scientific simulations beyond the Quadro P4000.
Frequently Asked Questions
What are the FP32 ratings for these GPUs?▾
The MI300X lists 163.4 TFLOPS FP32 performance. The Quadro P4000 lists 5.3 TFLOPS FP32 performance.
Which GPU has higher memory bandwidth?▾
The MI300X reaches 5300 GB/s bandwidth. The Quadro P4000 reaches 243 GB/s bandwidth.
What power draw do the GPUs require?▾
The MI300X has a 750W TDP. The Quadro P4000 has a 105W TDP.
Can the Quadro P4000 run modern AI models?▾
The Quadro P4000 provides 8 GB GDDR5 memory and 5.3 TFLOPS FP32 performance. These figures limit it to smaller models compared with the MI300X 192 GB capacity.
What interconnects do the GPUs use?▾
The MI300X supports Infinity Fabric and PCIe 5.0. The Quadro P4000 supports PCIe 3.0.
Which is cheaper to rent, the MI300X or the Quadro P4000?▾
Cloud rental prices for both the MI300X and Quadro P4000 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 MI300X have compared to the Quadro P4000?▾
The MI300X has 192 GB of HBM3 memory. The Quadro P4000 has 8 GB of GDDR5 memory.
Can I find MI300X and Quadro P4000 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 MI300X and the Quadro P4000?▾
The MI300X uses the CDNA 3 architecture (2023) while the Quadro P4000 uses Pascal (2017). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the Quadro P4000 has 8 GB of GDDR5 at 243 GB/s, so the MI300X has 21.8x 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 MI300X and the Quadro P4000. 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 MI300XEvery current offer by provider, daily price history and a price alert.
- Rent QUADRO P4000Every 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.