Specifications Compared
| Spec | MI300X | RTX 5000 Ada |
|---|---|---|
| TDP | 750W | 250W |
| VRAM | 192 GB | 32 GB |
| CUDA Cores | Not published | 12,800 |
| FP8 (dense) | 2,614.9 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR6 |
| Architecture | CDNA 3 | Ada Lovelace |
| FP16 (dense) | 1,307.4 TFLOPS | Not published |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 2,614.9 TOPS | Not published |
| Interconnect | Infinity Fabric, PCIe 5.0 | PCIe 4.0 |
| Tensor Cores | Not published | 400 |
| FP32 Performance | 163.4 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 576 GB/s |
| FP8 (with sparsity) | 5,229.8 TFLOPS | 1,044.4 TFLOPS |
| FP16 (with sparsity) | 2,614.9 TFLOPS | Not published |
| INT8 (with sparsity) | 5,229.8 TOPS | Not published |
Performance Analysis
The MI300X records 163.4 TFLOPS FP32 while the RTX 5000 Ada records 65.3 TFLOPS FP32. This FP32 difference indicates the MI300X can sustain larger matrix operations in scientific workloads that rely on single precision arithmetic. Memory bandwidth of 5300 GB per second on the MI300X versus 576 GB per second on the RTX 5000 Ada further determines how many tokens or samples fit in a single pass before data movement limits throughput. The MI300X also lists FP16 dense performance at 1307.4 TFLOPS and FP8 dense performance at 2614.9 TFLOPS whereas the RTX 5000 Ada lists FP8 performance only with sparsity at 1044.4 TFLOPS so direct tensor comparisons remain limited to the published dense figures on the MI300X side.
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 5000 Ada
RTX 5000 Ada is not offered on-demand by any provider we track right now. See the RTX 5000 Ada 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 192 GB of memory and 5300 GB per second bandwidth such as training or fine tuning models that exceed 32 GB per device. Its 163.4 TFLOPS FP32 rating and 750 W TDP also align with large scale scientific computing jobs that benefit from high capacity HBM3.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada suits inference or fine tuning tasks that fit within 32 GB and that operate under a 250 W power envelope. Its PCIe form factor and 65.3 TFLOPS FP32 rating make it practical for workstation deployments where lower power draw and standard server slots are required.
Use Cases
The MI300X provides 192 GB memory and 1307.4 TFLOPS FP16 dense which support larger batch sizes than the 32 GB limit on the RTX 5000 Ada.
The MI300X supplies 2614.9 TFLOPS FP8 dense and 5300 GB per second bandwidth allowing higher throughput for models that exceed 32 GB.
The MI300X 192 GB capacity accommodates full parameter updates on models that cannot reside in the 32 GB of the RTX 5000 Ada.
The RTX 5000 Ada 250 W TDP and PCIe interface fit desktop or workstation environments where 32 GB is sufficient for typical image generation workloads.
The MI300X 163.4 TFLOPS FP32 and 5300 GB per second bandwidth deliver higher throughput for memory intensive simulations than the RTX 5000 Ada figures.
Frequently Asked Questions
What is the FP32 rating for each GPU?▾
The MI300X lists 163.4 TFLOPS FP32 and the RTX 5000 Ada lists 65.3 TFLOPS FP32. The ratio shows the MI300X sustains more single precision operations per second.
Which device offers higher memory bandwidth?▾
The MI300X offers 5300 GB per second while the RTX 5000 Ada offers 576 GB per second. The bandwidth gap influences achievable batch sizes during training and inference.
What power limits apply to the two GPUs?▾
The MI300X carries a 750 W TDP and the RTX 5000 Ada carries a 250 W TDP. System designs must accommodate the threefold difference in thermal and electrical requirements.
Can the RTX 5000 Ada run FP16 workloads at the same scale as the MI300X?▾
The RTX 5000 Ada does not publish an FP16 figure while the MI300X publishes 1307.4 TFLOPS FP16 dense. Direct scale comparisons therefore rely on the published FP32 numbers instead.
Which interconnect does each GPU use?▾
The MI300X supports Infinity Fabric and PCIe 5.0 while the RTX 5000 Ada supports PCIe 4.0. Multi device scaling therefore follows different topology options on each platform.
Which is cheaper to rent, the MI300X or the RTX 5000 Ada?▾
Cloud rental prices for both the MI300X and RTX 5000 Ada 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 5000 Ada?▾
The MI300X has 192 GB of HBM3 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find MI300X and RTX 5000 Ada 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 5000 Ada?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the RTX 5000 Ada has 32 GB of GDDR6 at 576 GB/s, so the MI300X has 9.2x the memory bandwidth of the RTX 5000 Ada.
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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 5000 Ada. 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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