Specifications Compared
| Spec | MI300X | RTX 4080 |
|---|---|---|
| TDP | 750W | 320W |
| VRAM | 192 GB | 16 GB |
| CUDA Cores | Not published | 9,728 |
| FP8 (dense) | 2,614.9 TFLOPS | 194.9 TFLOPS |
| Memory Type | HBM3 | GDDR6X |
| Architecture | CDNA 3 | Ada Lovelace |
| FP16 (dense) | 1,307.4 TFLOPS | 97.5 TFLOPS |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 2,614.9 TOPS | 389.9 TOPS |
| Interconnect | Infinity Fabric, PCIe 5.0 | PCIe 4.0 |
| Tensor Cores | Not published | 304 |
| FP32 Performance | 163.4 TFLOPS | 48.7 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 717 GB/s |
| FP8 (with sparsity) | 5,229.8 TFLOPS | 389.8 TFLOPS |
| FP16 (with sparsity) | 2,614.9 TFLOPS | 195 TFLOPS |
| INT8 (with sparsity) | 5,229.8 TOPS | 779.8 TOPS |
Performance Analysis
The MI300X delivers 1307.4 TFLOPS FP16 dense performance compared to the RTX 4080 97.5 TFLOPS FP16 dense performance which translates to substantially higher throughput for training operations that rely on dense matrix computations. The same pattern holds for FP16 with sparsity where the MI300X reaches 2614.9 TFLOPS against the RTX 4080 195 TFLOPS allowing faster iteration on sparse models. Memory bandwidth of 5300 GB/s on the MI300X versus 717 GB/s on the RTX 4080 permits larger batch sizes during both training and inference without swapping data to host memory. FP32 figures follow the same ratio with the MI300X at 163.4 TFLOPS dense and the RTX 4080 at 48.7 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
RTX 4080
RTX 4080 is not offered on-demand by any provider we track right now. See the RTX 4080 rental page for last-seen listed prices and a price alert.
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When to Choose the MI300X
The MI300X suits large scale LLM training and scientific computing tasks that consume the full 192 GB HBM3 capacity and 5300 GB/s bandwidth. Its 1307.4 TFLOPS FP16 dense rating supports extended context lengths and multi node scaling via Infinity Fabric interconnects where the 750W TDP remains acceptable.
When to Choose the RTX 4080
The RTX 4080 fits inference and fine tuning workloads that stay within 16 GB GDDR6X limits and benefit from the 320W TDP in single node consumer environments. Its 97.5 TFLOPS FP16 dense rating handles moderate batch sizes efficiently on PCIe 4.0 systems.
Use Cases
The MI300X 192 GB HBM3 and 1307.4 TFLOPS FP16 dense rating accommodate full model states that exceed the RTX 4080 16 GB limit.
The MI300X 5300 GB/s bandwidth supports larger batch sizes than the RTX 4080 717 GB/s bandwidth during high throughput serving.
The RTX 4080 48.7 TFLOPS FP32 rating suffices for smaller models while the MI300X handles larger parameter counts with 192 GB capacity.
The RTX 4080 320W TDP and PCIe form factor align with consumer graphics workloads that do not require the MI300X 750W OAM design.
The MI300X 163.4 TFLOPS FP32 rating and Infinity Fabric interconnect deliver higher throughput than the RTX 4080 48.7 TFLOPS FP32 rating.
Frequently Asked Questions
What is the FP16 dense performance gap between these GPUs?▾
The MI300X reaches 1307.4 TFLOPS FP16 dense and the RTX 4080 reaches 97.5 TFLOPS FP16 dense. The ratio favors the MI300X for dense matrix workloads.
Which GPU has higher memory bandwidth?▾
The MI300X provides 5300 GB/s while the RTX 4080 provides 717 GB/s. Higher bandwidth reduces data movement stalls during large tensor operations.
Can the RTX 4080 run models that require more than 16 GB?▾
Models exceeding 16 GB require offloading or partitioning on the RTX 4080. The MI300X 192 GB capacity accommodates such models directly.
What power difference exists between the two GPUs?▾
The MI300X TDP is 750W and the RTX 4080 TDP is 320W. Systems must account for the higher thermal and power requirements of the MI300X.
Which is cheaper to rent, the MI300X or the RTX 4080?▾
Cloud rental prices for both the MI300X and RTX 4080 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 4080?▾
The MI300X has 192 GB of HBM3 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find MI300X and RTX 4080 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 4080?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 4080 uses Ada Lovelace (2022). The MI300X delivers 13.4x the dense FP16 throughput (1,307.4 vs 97.5 TFLOPS, both without sparsity) and 7.4x the memory bandwidth of the RTX 4080.
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 4080. 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 4080Every current offer by provider, daily price history and a price alert.
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