Specifications Compared
| Spec | MI250X | RTX-3070 |
|---|---|---|
| TDP | 560W | 220W |
| VRAM | 128 GB | 8 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Ampere |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 383 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 383 TFLOPS | 20.3 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 448 GB/s |
Performance Analysis
Spec differences translate to vast real-world performance gaps, especially in AI training and inference. The MI250X's 383 TFLOPS FP16 and FP32 performance exceeds the RTX 3070 Ti's 20.3 TFLOPS by nearly 19 times, enabling faster matrix multiplications critical for deep learning. Identical FP16 and FP32 rates on both GPUs support balanced training and inference pipelines without precision bottlenecks.
Memory capacity and bandwidth define workload scalability: the MI250X's 128 GB HBM2e allows massive models and batch sizes that exceed the RTX 3070 Ti's 8 GB GDDR6 limit, preventing out-of-memory errors in large language model fine-tuning. The 3277 GB/s bandwidth, over 7 times the RTX 3070 Ti's 448 GB/s, accelerates data transfers for high-throughput inference and simulations, reducing latency in batch processing.
Power efficiency varies: the MI250X's 560W TDP demands robust cooling in datacenters, while the RTX 3070 Ti's 220W suits edge deployments. These factors make the MI250X ideal for compute-intensive tasks, with the RTX 3070 Ti viable for prototyping.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
MI250X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.28/GPU/hr $5.12/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.44/GPU/hr $5.76/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.52/GPU/hr $6.08/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.60/GPU/hr $6.40/hr total (4×) |
When to Choose the MI250X
The MI250X excels in enterprise AI training and scientific computing requiring extreme scale. Its 128 GB VRAM handles models over 100 billion parameters, and 3277 GB/s bandwidth supports batch sizes impossible on 8 GB GPUs. Cloud users pay $1.28 to $1.46 per hour for 383 TFLOPS performance in multi-node Infinity Fabric setups.
When to Choose the RTX 3070 Ti
The RTX 3070 Ti suits budget-conscious developers for inference or gaming at $0.06 to $0.08 per hour. Its 220W TDP and PCIe form factor enable easy local or small cloud deployments for tasks fitting within 8 GB VRAM. It delivers 20.3 TFLOPS adequately for prototyping or Stable Diffusion on modest datasets.
Use Cases
MI250X's 128 GB HBM2e VRAM and 383 TFLOPS FP16 handle billion-parameter models with large batches. RTX 3070 Ti's 8 GB limits it to tiny models.
MI250X 3277 GB/s bandwidth supports high-throughput serving of large models. RTX 3070 Ti suffices only for small models under 8 GB.
MI250X enables full fine-tuning of large LLMs with 383 TFLOPS and massive VRAM. RTX 3070 Ti restricts to LoRA on small models.
RTX 3070 Ti's 20.3 TFLOPS and 448 GB/s generate images quickly at low $0.08 per hour cost. MI250X overkill for consumer-scale diffusion.
MI250X's 383 TFLOPS FP32 and Infinity Fabric excel in simulations needing 128 GB data. RTX 3070 Ti too limited for large-scale science.
Frequently Asked Questions
Which GPU has more VRAM: MI250X or RTX 3070 Ti?▾
The MI250X offers 128 GB HBM2e VRAM. The RTX 3070 Ti provides 8 GB GDDR6. This 16-fold difference allows MI250X to load much larger models.
What is the FP32 performance of the MI250X versus RTX 3070 Ti?▾
MI250X delivers 383 TFLOPS FP32. RTX 3070 Ti achieves 20.3 TFLOPS FP32. MI250X provides about 19 times the compute power.
How do memory bandwidths compare?▾
MI250X bandwidth reaches 3277 GB/s. RTX 3070 Ti offers 448 GB/s. MI250X moves data over 7 times faster for large batches.
What are the cloud prices for these GPUs?▾
MI250X starts at $1.28 per hour, averaging $1.46 across 4 offers. RTX 3070 Ti starts at $0.06 per hour, averaging $0.08 across 2 offers.
Which has higher TDP: MI250X or RTX 3070 Ti?▾
MI250X TDP is 560W. RTX 3070 Ti TDP is 220W. MI250X requires datacenter cooling, while RTX 3070 Ti fits consumer setups.
What form factors do they use?▾
MI250X uses OAM for servers. RTX 3070 Ti uses PCIe for desktops. MI250X integrates better in clusters.
Which is cheaper to rent, the MI250X or the RTX 3070?▾
Cloud rental prices for both the MI250X and RTX 3070 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 3070?▾
The MI250X has 128 GB of HBM2e memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find MI250X and RTX 3070 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 3070?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX 3070 uses Ampere (2020). The MI250X delivers 18.9x the FP16 throughput and 7.3x the memory bandwidth of the RTX 3070.