Specifications Compared
| Spec | GTX-1080 | MI250X |
|---|---|---|
| TDP | 180W | 560W |
| VRAM | 8-11 GB | 128 GB |
| CUDA Cores | 2,560 | |
| Memory Type | GDDR5X | HBM2e |
| Architecture | Pascal | CDNA 2 |
| Form Factors | PCIe | OAM |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 8.9 TFLOPS | 383 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 383 TFLOPS |
| Memory Bandwidth | 320 GB/s | 3,277 GB/s |
Performance Analysis
The AMD Instinct MI250X vastly outperforms the GTX 1080 in raw compute: 383 TFLOPS FP16 and FP32 compared to 8.9 TFLOPS, yielding over 43 times the throughput. This gap translates to dramatically faster model training and inference; for instance, training a large language model on MI250X completes in a fraction of the time required by GTX 1080 due to the FP32 equivalence enabling efficient mixed-precision workflows.
Memory capacity and bandwidth further widen the divide. MI250X's 128 GB HBM2e supports massive datasets and models that exceed GTX 1080's 8 to 11 GB GDDR5X limit, preventing out-of-memory errors in large-batch training. Its 3277 GB/s bandwidth, over 10 times the 320 GB/s of GTX 1080, sustains higher batch sizes during inference, reducing latency and improving throughput for real-time applications.
Power draw underscores efficiency differences: MI250X's 560W TDP reflects its datacenter scale, while GTX 1080's 180W fits edge or desktop use. These specs position MI250X for enterprise AI and the GTX 1080 for lighter legacy tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 4×NVIDIA GeForce GTX 1080 8GB VRAM | 8GB | 0 vCPU 64GB RAM 480GB Storage | Netherlands | $0.30/GPU/hr $1.20/hr total (4×) | Available | ||
LeaderGPU | 8×NVIDIA GeForce GTX 1080 Ti 11GB VRAM | 11GB | 0 vCPU 128GB RAM 480GB Storage | Netherlands | $0.60/GPU/hr $4.80/hr total (8×) | Available |
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 1080
The GTX 1080 excels in cost-sensitive, low-power scenarios such as hobbyist machine learning or legacy gaming workloads. With pricing from $0.30 per hour and 180W TDP, it handles small-scale inference on models fitting within 8 to 11 GB VRAM without excessive energy costs. Its PCIe form factor integrates easily into standard desktops for prototyping or educational projects where 8.9 TFLOPS suffices.
When to Choose the MI250X
Opt for the MI250X in demanding AI training and scientific computing requiring high memory and compute. Its 128 GB HBM2e and 383 TFLOPS FP16/FP32 enable processing of large models at 3277 GB/s bandwidth, ideal for enterprise-scale LLM fine-tuning. Despite $1.28 per hour pricing and 560W TDP, Infinity Fabric interconnect supports multi-GPU clusters for maximum throughput.
Use Cases
MI250X's 383 TFLOPS FP32 and 128 GB HBM2e handle massive datasets and large batches that exceed GTX 1080's 8.9 TFLOPS and 8 to 11 GB VRAM.
The 3277 GB/s bandwidth of MI250X supports high-throughput inference with large models, far surpassing GTX 1080's 320 GB/s for real-time serving.
MI250X's 383 TFLOPS FP16 enables rapid fine-tuning iterations on models up to 128 GB, while GTX 1080 limits scale with 8 to 11 GB VRAM.
GTX 1080 runs basic Stable Diffusion inference at 8.9 TFLOPS within 8 to 11 GB VRAM for hobby use; MI250X accelerates complex generations with 383 TFLOPS.
MI250X's 3277 GB/s bandwidth and Infinity Fabric excel in simulations needing high memory throughput, outperforming GTX 1080's 320 GB/s PCIe setup.
Frequently Asked Questions
Can GTX 1080 handle modern AI workloads?▾
GTX 1080 provides 8.9 TFLOPS FP32 and 8 to 11 GB VRAM, suitable for small models but inadequate for large LLMs due to memory limits. MI250X's 128 GB and 383 TFLOPS offer far superior capacity.
How much more powerful is MI250X than GTX 1080?▾
MI250X delivers 383 TFLOPS FP16/FP32 versus 8.9 TFLOPS, a 43-fold increase. Bandwidth reaches 3277 GB/s compared to 320 GB/s, enabling larger workloads.
What is the cloud pricing difference?▾
GTX 1080 starts at $0.30 per hour averaging $0.45 across 2 offers. MI250X begins at $1.28 per hour averaging $1.46 across 4 offers.
Is MI250X compatible with consumer setups?▾
MI250X uses OAM form factor and Infinity Fabric, designed for datacenters, unlike GTX 1080's PCIe for desktops. It requires enterprise infrastructure.
Which has better power efficiency?▾
GTX 1080 consumes 180W TDP for 8.9 TFLOPS, better for low-power needs. MI250X's 560W supports 383 TFLOPS, prioritizing throughput over efficiency.
When to pick GTX 1080 over MI250X?▾
Choose GTX 1080 for budgets under $0.45 per hour and light tasks fitting 8 to 11 GB VRAM. MI250X suits high-scale AI at $1.46 per hour average.
Which is cheaper to rent, the GTX 1080 or the MI250X?▾
Cloud rental prices for both the GTX 1080 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 1080 have compared to the MI250X?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The MI250X has 128 GB of HBM2e memory.
Can I find GTX 1080 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 1080 and the MI250X?▾
The GTX 1080 uses the Pascal architecture (2016) while the MI250X uses CDNA 2 (2021). The MI250X delivers 43.0x the FP16 throughput and 10.2x the memory bandwidth of the GTX 1080.