Specifications Compared
| Spec | MI300X | RTX 4070 |
|---|---|---|
| TDP | 750W | 200W |
| VRAM | 192 GB | 12-16 GB |
| CUDA Cores | Not published | 5,888 |
| FP8 (dense) | 2,614.9 TFLOPS | 116.6 TFLOPS |
| Memory Type | HBM3 | GDDR6X |
| Architecture | CDNA 3 | Ada Lovelace |
| FP16 (dense) | 1,307.4 TFLOPS | 58.3 TFLOPS |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 2,614.9 TOPS | 233.2 TOPS |
| Interconnect | Infinity Fabric, PCIe 5.0 | PCIe 4.0 |
| Tensor Cores | Not published | 184 |
| FP32 Performance | 163.4 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 504 GB/s |
| FP8 (with sparsity) | 5,229.8 TFLOPS | 233.2 TFLOPS |
| FP16 (with sparsity) | 2,614.9 TFLOPS | 116.6 TFLOPS |
| INT8 (with sparsity) | 5,229.8 TOPS | 466.4 TOPS |
Performance Analysis
The FP16 dense rating of 1307.4 TFLOPS on the MI300X exceeds the 58.3 TFLOPS FP16 dense rating on the RTX 4070 by a factor derived solely from those two numbers. This gap indicates the MI300X sustains larger batch sizes during training workloads that rely on dense FP16 operations. Memory bandwidth of 5300 GB/s on the MI300X compared with 504 GB/s on the RTX 4070 further supports larger working sets without frequent data movement. When sparsity is enabled the MI300X reaches 2614.9 TFLOPS FP16 with sparsity against 116.6 TFLOPS FP16 with sparsity on the RTX 4070 preserving the same relative ordering. FP32 performance follows a similar pattern with 163.4 TFLOPS on the MI300X against 29.1 TFLOPS on the RTX 4070.
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
RTX 4070
RTX 4070 is not offered on-demand by any provider we track right now. See the RTX 4070 rental page for last-seen listed prices and a price alert.
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When to Choose the MI300X
The MI300X suits workloads that require the full 192 GB HBM3 capacity together with 1307.4 TFLOPS FP16 dense throughput. Its 5300 GB/s memory bandwidth and Infinity Fabric interconnect support multi GPU scaling for large model training that exceeds the 12-16 GB limit of the RTX 4070.
When to Choose the RTX 4070
The RTX 4070 fits environments constrained to 200 W TDP and standard PCIe slots where 58.3 TFLOPS FP16 dense performance remains adequate. Its PCIe 4.0 interconnect and compact form factor align with single node inference tasks that stay within 12-16 GB VRAM.
Use Cases
The MI300X supplies 192 GB HBM3 and 1307.4 TFLOPS FP16 dense that accommodate models too large for the 12-16 GB limit of the RTX 4070.
The MI300X delivers 2614.9 TFLOPS FP8 dense together with 5300 GB/s bandwidth that support higher throughput than the 116.6 TFLOPS FP8 dense of the RTX 4070.
The MI300X 1307.4 TFLOPS FP16 dense rating and 192 GB capacity enable fine tuning runs that exceed the 58.3 TFLOPS FP16 dense and 12-16 GB capacity of the RTX 4070.
The RTX 4070 200 W TDP and PCIe form factor match lighter workloads that fit inside 12-16 GB VRAM while the MI300X targets higher power envelopes.
The MI300X 163.4 TFLOPS FP32 rating combined with 5300 GB/s bandwidth handles large scientific datasets beyond the 29.1 TFLOPS FP32 and 504 GB/s of the RTX 4070.
Frequently Asked Questions
What is the FP16 dense performance gap between the two GPUs?▾
The MI300X lists 1307.4 TFLOPS FP16 dense and the RTX 4070 lists 58.3 TFLOPS FP16 dense. The ratio of these two published numbers shows the MI300X provides substantially higher dense FP16 throughput.
Which GPU offers higher memory bandwidth?▾
The MI300X reaches 5300 GB/s while the RTX 4070 reaches 504 GB/s. Higher bandwidth on the MI300X supports larger batch sizes when data movement becomes the limiting factor.
Does the MI300X support sparsity in its tensor ratings?▾
Yes the MI300X lists both dense and with sparsity figures such as 1307.4 TFLOPS FP16 dense and 2614.9 TFLOPS FP16 with sparsity. The RTX 4070 similarly lists 58.3 TFLOPS FP16 dense and 116.6 TFLOPS FP16 with sparsity.
What power draw separates the MI300X from the RTX 4070?▾
The MI300X carries a 750 W TDP while the RTX 4070 carries a 200 W TDP. The fourfold difference affects power delivery and cooling requirements in any deployment.
Which interconnect does each GPU use?▾
The MI300X uses Infinity Fabric and PCIe 5.0 while the RTX 4070 uses PCIe 4.0. The MI300X interconnect therefore supports higher aggregate bandwidth across multiple devices.
Which is cheaper to rent, the MI300X or the RTX 4070?▾
Cloud rental prices for both the MI300X and RTX 4070 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 4070?▾
The MI300X has 192 GB of HBM3 memory. The RTX 4070 has 12 to 16 GB of GDDR6X memory.
Can I find MI300X and RTX 4070 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 4070?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 4070 uses Ada Lovelace (2023). The MI300X delivers 22.4x the dense FP16 throughput (1,307.4 vs 58.3 TFLOPS, both without sparsity) and 10.5x the memory bandwidth of the RTX 4070.
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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 4070. 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
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