Specifications Compared
| Spec | MI300X | RTX 3080 |
|---|---|---|
| TDP | 750W | 320W |
| VRAM | 192 GB | 10-12 GB |
| CUDA Cores | Not published | 8,704 |
| FP8 (dense) | 2,614.9 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR6X |
| Architecture | CDNA 3 | Ampere |
| FP16 (dense) | 1,307.4 TFLOPS | 59.5 TFLOPS |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 2,614.9 TOPS | 238 TOPS |
| Interconnect | Infinity Fabric, PCIe 5.0 | PCIe 4.0 |
| Tensor Cores | Not published | 272 |
| FP32 Performance | 163.4 TFLOPS | 29.8 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 760 GB/s |
| FP8 (with sparsity) | 5,229.8 TFLOPS | Not published |
| FP16 (with sparsity) | 2,614.9 TFLOPS | 119 TFLOPS |
| INT8 (with sparsity) | 5,229.8 TOPS | 476 TOPS |
Performance Analysis
Dense FP16 throughput reaches 1307.4 TFLOPS on the MI300X and 59.5 TFLOPS on the RTX 3080. The ratio of 1307.4 to 59.5 shows the MI300X exceeds the RTX 3080 by a factor of nearly 22 in dense FP16. The same factor appears when sparse FP16 figures of 2614.9 TFLOPS and 119 TFLOPS are compared. Higher dense FP16 capacity on the MI300X supports larger batch sizes during training and inference because the 5300 GB/s bandwidth moves data at seven times the rate of the 760 GB/s bandwidth on the RTX 3080. FP32 workloads follow a smaller ratio of 163.4 to 29.8. The 750 W TDP versus 320 W TDP further indicates that the MI300X sustains peak tensor throughput only when power delivery and cooling scale accordingly.
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 3080
RTX 3080 is not offered on-demand by any provider we track right now. See the RTX 3080 rental page for last-seen listed prices and a price alert.
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When to Choose the MI300X
The MI300X suits LLM training runs that require 192 GB HBM3 capacity to hold full model states without partitioning. Its 5300 GB/s bandwidth and 1307.4 TFLOPS dense FP16 rating allow larger batch sizes than the RTX 3080 can accommodate. Scientific computing jobs that rely on 163.4 TFLOPS FP32 also map directly to the MI300X.
When to Choose the RTX 3080
The RTX 3080 suits Stable Diffusion workloads that fit within 10 to 12 GB GDDR6X memory and operate at 29.8 TFLOPS FP32. Its 320 W TDP enables deployment in standard desktop systems where the 750 W TDP of the MI300X cannot be met. Inference tasks that need only 59.5 TFLOPS dense FP16 remain practical on the RTX 3080.
Use Cases
The 192 GB HBM3 capacity and 1307.4 TFLOPS dense FP16 rating support full model residency and large batches.
The 5300 GB/s bandwidth sustains high token throughput with the 2614.9 TFLOPS sparse FP16 rating.
The 192 GB memory holds both base weights and optimizer states that exceed the 10 to 12 GB limit of the RTX 3080.
The 29.8 TFLOPS FP32 and 320 W TDP fit consumer desktop constraints while the model size stays inside 12 GB.
The 163.4 TFLOPS FP32 rating and Infinity Fabric interconnect accelerate large matrix operations beyond the RTX 3080.
Frequently Asked Questions
What is the FP16 dense performance difference?▾
The MI300X reaches 1307.4 TFLOPS dense FP16 while the RTX 3080 reaches 59.5 TFLOPS dense FP16. The ratio of these two numbers equals nearly 22.
Which GPU has higher memory bandwidth?▾
The MI300X reaches 5300 GB/s bandwidth. The RTX 3080 reaches 760 GB/s bandwidth, producing a ratio of seven to one.
How do the TDP values compare?▾
The MI300X lists a 750 W TDP. The RTX 3080 lists a 320 W TDP, so the MI300X requires more than twice the power delivery.
Can the RTX 3080 run FP8 workloads?▾
The vendor did not publish an FP8 figure for the RTX 3080. The MI300X supplies 2614.9 TFLOPS dense FP8 and 5229.8 TFLOPS sparse FP8.
What interconnect does each GPU use?▾
The MI300X uses Infinity Fabric and PCIe 5.0. The RTX 3080 uses PCIe 4.0 only.
Which is cheaper to rent, the MI300X or the RTX 3080?▾
Cloud rental prices for both the MI300X and RTX 3080 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 3080?▾
The MI300X has 192 GB of HBM3 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find MI300X and RTX 3080 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 3080?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 3080 uses Ampere (2020). The MI300X delivers 22.0x the dense FP16 throughput (1,307.4 vs 59.5 TFLOPS, both without sparsity) and 7.0x the memory bandwidth of the RTX 3080.
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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 3080. 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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