Specifications Compared
| Spec | MI250X | RTX 6000 Ada |
|---|---|---|
| TDP | 560W | 300W |
| VRAM | 128 GB | 48 GB |
| CUDA Cores | Not published | 18,176 |
| FP8 (dense) | Not published | 728.5 TFLOPS |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Ada Lovelace |
| FP16 (dense) | 383 TFLOPS | 364 TFLOPS |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 383 TOPS | 728.5 TOPS |
| Interconnect | Infinity Fabric, PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | Not published | 568 |
| FP32 Performance | 47.9 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 47.9 TFLOPS | Not published |
| Memory Bandwidth | 3,277 GB/s | 960 GB/s |
| FP8 (with sparsity) | Not published | 1,457 TFLOPS |
| FP16 (with sparsity) | Not published | 728 TFLOPS |
| INT8 (with sparsity) | Not published | 1,457 TOPS |
Performance Analysis
The MI250X records 383 TFLOPS dense FP16 and 47.9 TFLOPS FP32. The RTX 6000 Ada records 364 TFLOPS dense FP16 and 91.1 TFLOPS FP32. The dense FP16 advantage of the MI250X supports faster iteration in training workloads that rely on dense tensor operations while the FP32 advantage of the RTX 6000 Ada favors precision sensitive scientific codes. Memory bandwidth of 3277 GB/s on the MI250X versus 960 GB/s on the RTX 6000 Ada permits substantially larger batch sizes before data movement becomes the limiter.
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.
MI250X
MI250X is not offered on-demand by any provider we track right now. See the MI250X rental page for last-seen listed prices and a price alert.
RTX 6000 Ada
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Massed Compute | us-central-3 | 1 | $0.79 | — | Deploy |
| QuantaCloud | us-midwest-2 | 1 | $0.79 | — | Deploy |
| LeaderGPU | The Netherlands | 8 | $0.91 | $7.29 | Deploy |
3 providers in stock, 6 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts
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When to Choose the MI250X
The MI250X suits workloads that require the full 128 GB memory capacity and 3277 GB/s bandwidth such as training models that exceed 48 GB per device. Its 383 TFLOPS dense FP16 rating further accelerates dense matrix operations in large scale scientific computing.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada suits deployments constrained to 300 W TDP and standard PCIe slots where its 91.1 TFLOPS FP32 rating delivers higher throughput than the 47.9 TFLOPS of the MI250X. Its support for sparsity also benefits inference pipelines that can exploit the 728 TFLOPS sparse FP16 rating.
Use Cases
The MI250X supplies 128 GB memory and 383 TFLOPS dense FP16 which together support larger models than the 48 GB limit of the RTX 6000 Ada.
The RTX 6000 Ada provides 728 TFLOPS sparse FP16 and a 300 W TDP that fits power limited inference servers more readily than the 560 W MI250X.
The MI250X 3277 GB/s bandwidth and 128 GB capacity allow fine tuning runs with batch sizes that exceed the 960 GB/s and 48 GB of the RTX 6000 Ada.
The RTX 6000 Ada 91.1 TFLOPS FP32 rating exceeds the 47.9 TFLOPS of the MI250X and its lower 300 W TDP suits continuous image generation workloads.
The RTX 6000 Ada delivers 91.1 TFLOPS FP32 which is nearly double the 47.9 TFLOPS FP32 of the MI250X for precision heavy simulations.
Frequently Asked Questions
What is the dense FP16 rating of each GPU?▾
The MI250X achieves 383 TFLOPS dense FP16 and the RTX 6000 Ada achieves 364 TFLOPS dense FP16.
Which GPU has higher FP32 performance?▾
The RTX 6000 Ada has 91.1 TFLOPS FP32 compared with 47.9 TFLOPS FP32 on the MI250X.
What are the TDP values for the MI250X and RTX 6000 Ada?▾
The MI250X TDP is 560 W and the RTX 6000 Ada TDP is 300 W.
How does memory bandwidth differ between the two GPUs?▾
The MI250X provides 3277 GB/s bandwidth while the RTX 6000 Ada provides 960 GB/s bandwidth.
Which is cheaper to rent, the MI250X or the RTX 6000 Ada?▾
Cloud rental prices for both the MI250X and RTX 6000 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 MI250X have compared to the RTX 6000 Ada?▾
The MI250X has 128 GB of HBM2e memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find MI250X and RTX 6000 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 MI250X and the RTX 6000 Ada?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX 6000 Ada uses Ada Lovelace (2022). The MI250X delivers 1.1x the dense FP16 throughput (383 vs 364 TFLOPS, both without sparsity) and 3.4x the memory bandwidth of the RTX 6000 Ada.
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 MI250X and the RTX 6000 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 MI250XEvery current offer by provider, daily price history and a price alert.
- Rent RTX 6000 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.