Specifications Compared
| Spec | MI300X | RTX 4000 Ada |
|---|---|---|
| TDP | 750W | 130W |
| VRAM | 192 GB | 20 GB |
| CUDA Cores | Not published | 6,144 |
| 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 | 192 |
| FP32 Performance | 163.4 TFLOPS | 26.7 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 360 GB/s |
| FP8 (with sparsity) | 5,229.8 TFLOPS | 427.6 TFLOPS |
| FP16 (with sparsity) | 2,614.9 TFLOPS | Not published |
| INT8 (with sparsity) | 5,229.8 TOPS | Not published |
Performance Analysis
The MI300X records 1307.4 TFLOPS dense FP16 while the RTX 4000 Ada lists no FP16 figure. The same MI300X records 163.4 TFLOPS FP32. The 5300 GB/s bandwidth on the MI300X versus 360 GB/s on the RTX 4000 Ada permits substantially larger batch sizes during both training and inference passes. Dense FP16 figures must be compared only against other dense FP16 figures and sparse figures only against other sparse figures. The MI300X also lists 2614.9 TFLOPS dense FP8 against the RTX 4000 Ada 427.6 TFLOPS FP8 with sparsity.
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 4000 Ada
RTX 4000 Ada is not offered on-demand by any provider we track right now. See the RTX 4000 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 HBM3 capacity and 5300 GB/s bandwidth. Its 1307.4 TFLOPS dense FP16 rating supports large model training and inference where the 750 W TDP is acceptable within OAM based servers.
When to Choose the RTX 4000 Ada
The RTX 4000 Ada suits compact PCIe systems that operate within a 130 W TDP limit. Its 20 GB GDDR6 configuration and 26.7 TFLOPS FP32 rating fit smaller inference jobs and graphics adjacent tasks where the MI300X capacity would remain underutilized.
Use Cases
The MI300X provides 192 GB HBM3 and 1307.4 TFLOPS dense FP16 that accommodate large models.
The MI300X 5300 GB/s bandwidth and 1307.4 TFLOPS dense FP16 support high throughput serving.
The MI300X 192 GB capacity and 163.4 TFLOPS FP32 allow full parameter updates on sizable datasets.
The RTX 4000 Ada 130 W TDP and PCIe form factor fit desktop scale image generation workloads.
The MI300X 163.4 TFLOPS FP32 and 5300 GB/s bandwidth accelerate memory bound simulations.
Frequently Asked Questions
What FP32 performance do the GPUs deliver?▾
The MI300X delivers 163.4 TFLOPS FP32 and the RTX 4000 Ada delivers 26.7 TFLOPS FP32.
Which GPU offers higher memory bandwidth?▾
The MI300X offers 5300 GB/s bandwidth while the RTX 4000 Ada offers 360 GB/s bandwidth.
What power limits apply to each card?▾
The MI300X carries a 750 W TDP and the RTX 4000 Ada carries a 130 W TDP.
Which interconnect does each GPU use?▾
The MI300X uses Infinity Fabric and PCIe 5.0 while the RTX 4000 Ada uses PCIe 4.0.
Are FP8 figures published for both GPUs?▾
The MI300X lists 2614.9 TFLOPS dense FP8 and the RTX 4000 Ada lists 427.6 TFLOPS FP8 with sparsity.
Which is cheaper to rent, the MI300X or the RTX 4000 Ada?▾
Cloud rental prices for both the MI300X and RTX 4000 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 4000 Ada?▾
The MI300X has 192 GB of HBM3 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find MI300X and RTX 4000 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 4000 Ada?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 4000 Ada uses Ada Lovelace (2023). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s, so the MI300X has 14.7x the memory bandwidth of the RTX 4000 Ada.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the MI300X and the RTX 4000 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
- Rent MI300XEvery current offer by provider, daily price history and a price alert.
- Rent RTX 4000 ADAEvery current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.