Specifications Compared
| Spec | MI300X | RTX 4080 SUPER |
|---|---|---|
| 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 provides 1307.4 TFLOPS in dense FP16 compared with the RTX 4080 SUPER provision of 97.5 TFLOPS in dense FP16. The same pattern holds for dense FP32 where the MI300X reaches 163.4 TFLOPS against the RTX 4080 SUPER figure of 48.7 TFLOPS. Memory bandwidth shared at the family level reaches 5300 GB/s for the MI300X family and 717 GB/s for the RTX 4080 family which directly influences maximum batch sizes during training and inference. The MI300X family TDP of 750W exceeds the RTX 4080 family TDP of 320W yet the higher dense FP16 throughput supports larger model handling without sparsity reliance.
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 4080 SUPER
RTX 4080 SUPER is not offered on-demand by any provider we track right now. See the RTX 4080 SUPER rental page for last-seen listed prices and a price alert.
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When to Choose the MI300X
The MI300X variant with 192 GB HBM3 memory suits scenarios that demand the full 192 GB capacity for models exceeding the 16 GB limit of the alternative. Its OAM form factor and Infinity Fabric interconnect enable scaling in dense compute clusters where the 1307.4 TFLOPS dense FP16 rating accelerates large batch operations.
When to Choose the RTX 4080 SUPER
The RTX 4080 SUPER variant with 16 GB GDDR6X memory fits deployments constrained by the 320W TDP ceiling and PCIe form factor requirements. Its 97.5 TFLOPS dense FP16 rating remains adequate for tasks that fit within the 16 GB memory envelope without needing the higher 5300 GB/s bandwidth.
Use Cases
The 192 GB HBM3 capacity supports models larger than 16 GB while 1307.4 TFLOPS dense FP16 accelerates the workload.
Higher memory capacity allows larger batch inference with 5300 GB/s bandwidth shared across the family.
The 192 GB HBM3 variant handles full parameter updates that exceed the 16 GB GDDR6X limit.
The 16 GB GDDR6X variant suffices for typical image generation workloads at lower 320W TDP.
The 163.4 TFLOPS FP32 rating combined with 192 GB capacity accelerates large simulation datasets.
Frequently Asked Questions
What memory capacities distinguish the two variants?▾
The MI300X variant holds 192 GB HBM3 while the RTX 4080 SUPER variant holds 16 GB GDDR6X. This difference determines maximum model sizes that fit in memory.
How do the dense FP16 figures compare?▾
The MI300X family delivers 1307.4 TFLOPS dense FP16 while the RTX 4080 family delivers 97.5 TFLOPS dense FP16. The ratio favors the MI300X for dense tensor operations.
Which variant offers higher memory bandwidth?▾
The MI300X family shares 5300 GB/s bandwidth while the RTX 4080 family shares 717 GB/s bandwidth. Higher bandwidth supports larger batches during training.
What TDP values apply to each family?▾
The MI300X family lists 750W TDP and the RTX 4080 family lists 320W TDP. These figures remain consistent across all variants within each family.
Do the variants share the same interconnect?▾
The MI300X variant uses Infinity Fabric and PCIe 5.0 while the RTX 4080 SUPER variant uses PCIe 4.0. Form factor also differs with OAM versus PCIe.
Which is cheaper to rent, the MI300X or the RTX 4080 SUPER?▾
Cloud rental prices for both the MI300X and RTX 4080 SUPER 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 SUPER?▾
The MI300X has 192 GB of HBM3 memory. The RTX 4080 SUPER has 16 GB of GDDR6X memory.
Can I find MI300X and RTX 4080 SUPER 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 SUPER?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 4080 SUPER 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 SUPER.
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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 SUPER. 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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