Specifications Compared
| Spec | MI300X | RTX 5070 |
|---|---|---|
| TDP | 750W | 250W |
| VRAM | 192 GB | 12-16 GB |
| CUDA Cores | Not published | 6,144 |
| FP4 (dense) | Not published | 493.9 TFLOPS |
| FP8 (dense) | 2,614.9 TFLOPS | 123.5 TFLOPS |
| Memory Type | HBM3 | GDDR7 |
| Architecture | CDNA 3 | Blackwell |
| FP16 (dense) | 1,307.4 TFLOPS | 61.7 TFLOPS |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 2,614.9 TOPS | 246.9 TOPS |
| Interconnect | Infinity Fabric, PCIe 5.0 | PCIe 5.0 |
| Tensor Cores | Not published | 192 |
| FP32 Performance | 163.4 TFLOPS | 30.9 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 672 GB/s |
| FP4 (with sparsity) | Not published | 987.8 TFLOPS |
| FP8 (with sparsity) | 5,229.8 TFLOPS | 246.9 TFLOPS |
| FP16 (with sparsity) | 2,614.9 TFLOPS | 123.5 TFLOPS |
| INT8 (with sparsity) | 5,229.8 TOPS | 493.9 TOPS |
Performance Analysis
The MI300X delivers FP16 dense performance of 1307.4 TFLOPS compared to the RTX 5070 FP16 dense performance of 61.7 TFLOPS which affects training throughput for large models. FP16 with sparsity reaches 2614.9 TFLOPS on the MI300X versus 123.5 TFLOPS on the RTX 5070 allowing higher inference rates when sparsity applies. Memory bandwidth of 5300 GB/s on the MI300X versus 672 GB/s on the RTX 5070 supports larger batch sizes during both training and inference. FP8 dense performance stands at 2614.9 TFLOPS for the MI300X and 123.5 TFLOPS for the RTX 5070 while FP32 figures remain 163.4 TFLOPS and 30.9 TFLOPS respectively.
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
MI300X is not offered on-demand by any provider we track right now. See the MI300X rental page for last-seen listed prices and a price alert.
RTX 5070
RTX 5070 is not offered on-demand by any provider we track right now. See the RTX 5070 rental page for last-seen listed prices and a price alert.
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When to Choose the MI300X
The MI300X suits scenarios that require 192 GB HBM3 memory for models exceeding the 12-16 GB capacity of the RTX 5070.
When to Choose the RTX 5070
The RTX 5070 fits deployments limited to 250W TDP and PCIe form factor where FP16 dense performance of 61.7 TFLOPS meets requirements without the 750W draw of the MI300X. Compact systems prioritize the 672 GB/s bandwidth and 12-16 GB GDDR7 memory for lighter inference tasks.
Use Cases
The MI300X 192 GB HBM3 memory accommodates models that exceed the 12-16 GB limit of the RTX 5070.
FP16 dense performance of 1307.4 TFLOPS on the MI300X supports higher throughput than the 61.7 TFLOPS on the RTX 5070.
Memory bandwidth of 5300 GB/s on the MI300X enables larger batch sizes than the 672 GB/s on the RTX 5070.
The RTX 5070 TDP of 250W and PCIe form factor suit lighter workloads that do not require the 750W of the MI300X.
FP32 performance of 163.4 TFLOPS on the MI300X surpasses the 30.9 TFLOPS on the RTX 5070 for compute intensive tasks.
Frequently Asked Questions
What is the FP16 dense performance of each GPU?▾
The MI300X achieves FP16 dense performance of 1307.4 TFLOPS and the RTX 5070 achieves FP16 dense performance of 61.7 TFLOPS.
What TDP values are listed for the MI300X and RTX 5070?▾
The MI300X TDP is listed at 750W and the RTX 5070 TDP is listed at 250W.
Which interconnect does the MI300X use?▾
The MI300X uses Infinity Fabric interconnect along with PCIe 5.0 while the RTX 5070 uses PCIe 5.0.
What memory bandwidth is specified for each card?▾
The MI300X memory bandwidth reaches 5300 GB/s and the RTX 5070 memory bandwidth reaches 672 GB/s.
What FP8 dense figures are given for the two GPUs?▾
The MI300X lists FP8 dense performance at 2614.9 TFLOPS and the RTX 5070 lists FP8 dense performance at 123.5 TFLOPS.
Which is cheaper to rent, the MI300X or the RTX 5070?▾
Cloud rental prices for both the MI300X and RTX 5070 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 RTX 5070?▾
The MI300X has 192 GB of HBM3 memory. The RTX 5070 has 12 to 16 GB of GDDR7 memory.
Can I find MI300X and RTX 5070 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 RTX 5070?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 5070 uses Blackwell (2025). The MI300X delivers 21.2x the dense FP16 throughput (1,307.4 vs 61.7 TFLOPS, both without sparsity) and 7.9x the memory bandwidth of the RTX 5070.
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 MI300X and the RTX 5070. 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 RTX 5070Every 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.