Specifications Compared
| Spec | GTX-1070 | MI250X |
|---|---|---|
| TDP | 150W | 560W |
| VRAM | 8 GB | 128 GB |
| CUDA Cores | 1,920 | |
| Memory Type | GDDR5 | HBM2e |
| Architecture | Pascal | CDNA 2 |
| Form Factors | PCIe | OAM |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 6.5 TFLOPS | 383 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 383 TFLOPS |
| Memory Bandwidth | 256 GB/s | 3,277 GB/s |
Performance Analysis
Compute performance defines the core gap: the MI250X achieves 383 TFLOPS in FP16 and FP32, over 43 times the GTX 1070 Ti's 8.9 TFLOPS. This enables the MI250X to accelerate AI training by orders of magnitude, completing epochs in minutes that span hours on the older card. For inference, high FP16 throughput on MI250X supports thousands of queries per second, versus dozens on GTX 1070 Ti. Memory specs amplify this: 128 GB HBM2e versus 8 GB GDDR5 allows MI250X batch sizes 10 to 20 times larger in LLM fine-tuning, preventing out-of-memory issues. The 3277 GB/s bandwidth sustains data flow for large models, while 308 GB/s on GTX 1070 Ti bottlenecks large-batch training. Power differs at 560 W for MI250X versus 180 W, suiting data centers over desktops.
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 GTX 1070 Ti
The GTX 1070 Ti suits budget-conscious hobbyists with local desktops. Its 180 W TDP integrates into standard PCs without data center infrastructure, and 8 GB VRAM handles Stable Diffusion at 512x512 resolutions or legacy CUDA apps at 8.9 TFLOPS. Acquired used for under $200 with no cloud availability, it fits non-urgent tasks like personal ML experiments where cloud latency or costs exceed benefits.
When to Choose the MI250X
Professional AI teams select the MI250X for demanding workloads. 383 TFLOPS FP16/FP32 and 128 GB VRAM enable large-scale LLM training and inference at $1.28 per hour cloud rates. Infinity Fabric supports multi-GPU scaling, ideal for HPC clusters where GTX 1070 Ti's 8 GB and 308 GB/s bandwidth fail.
Use Cases
MI250X's 383 TFLOPS FP16/FP32 and 128 GB VRAM support massive models and batches, versus GTX 1070 Ti's 8.9 TFLOPS and 8 GB limits.
High 3277 GB/s bandwidth on MI250X enables production-scale throughput; 8 GB VRAM on GTX 1070 Ti restricts to tiny batches.
MI250X handles parameter-efficient tuning on large LLMs with 128 GB VRAM; GTX 1070 Ti's 8 GB causes frequent swapping.
GTX 1070 Ti generates 512x512 images adequately at 8.9 TFLOPS; MI250X excels for high-res or batch jobs with 128 GB.
MI250X's 383 TFLOPS and Infinity Fabric suit simulations; GTX 1070 Ti's 8.9 TFLOPS limits complex datasets.
Frequently Asked Questions
What is the compute performance difference between GTX 1070 Ti and MI250X?▾
The MI250X delivers 383 TFLOPS in FP16 and FP32, 43 times the GTX 1070 Ti's 8.9 TFLOPS. This gap accelerates AI tasks significantly. Bandwidth follows at 3277 GB/s versus 308 GB/s.
How much VRAM do these GPUs have?▾
GTX 1070 Ti offers 8 GB GDDR5, while MI250X provides 128 GB HBM2e. The 16-fold difference impacts large model handling. MI250X supports bigger batches without errors.
What are the power requirements?▾
GTX 1070 Ti draws 180 W TDP, fitting desktops. MI250X requires 560 W for data centers. This reflects cloud hosting needs.
Is MI250X available on cloud platforms?▾
MI250X clouds start at $1.28 per hour, averaging $1.46 across four offers. GTX 1070 Ti has no live cloud availability. Renting MI250X scales performance instantly.
Can GTX 1070 Ti handle AI training?▾
GTX 1070 Ti manages small models at 8.9 TFLOPS with 8 GB VRAM. Larger LLMs exceed limits. MI250X at 383 TFLOPS is required for serious work.
What architectures do they use?▾
GTX 1070 Ti uses Pascal from 2016 with PCIe. MI250X employs CDNA 2 from 2021 with Infinity Fabric. The five-year advance drives spec superiority.
Which is cheaper to rent, the GTX 1070 or the MI250X?▾
Cloud rental prices for both the GTX 1070 and MI250X 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 GTX 1070 have compared to the MI250X?▾
The GTX 1070 has 8 GB of GDDR5 memory. The MI250X has 128 GB of HBM2e memory.
Can I find GTX 1070 and MI250X 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 GTX 1070 and the MI250X?▾
The GTX 1070 uses the Pascal architecture (2016) while the MI250X uses CDNA 2 (2021). The MI250X delivers 58.9x the FP16 throughput and 12.8x the memory bandwidth of the GTX 1070.