Specifications Compared
| Spec | MI250X | RTX-2080 |
|---|---|---|
| TDP | 560W | 215W |
| VRAM | 128 GB | 8-11 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Turing |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP16 Performance | 383 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 383 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 616 GB/s |
Performance Analysis
Compute throughput defines a key disparity: the MI250X achieves 383 TFLOPS in FP16 and FP32, enabling it to process AI training workloads roughly 38 times faster than the RTX 2080's 10.1 TFLOPS in those precisions. This delta accelerates deep learning model training, where FP16 handles mixed-precision computations efficiently, and FP32 ensures precise gradients. For inference, the MI250X supports higher throughput on large models due to its superior specs. Memory capacity and bandwidth profoundly impact real-world usage: 128 GB HBM2e on the MI250X allows batch sizes up to 16 times larger than the RTX 2080's 8-11 GB GDDR6 limit, reducing out-of-memory errors in transformer models. The MI250X's 3277 GB/s bandwidth sustains data flow for massive datasets, minimizing bottlenecks in training loops, while the RTX 2080's 616 GB/s constrains it to smaller batches or models. Power draw reflects this: 560W TDP for the MI250X demands robust cooling, versus 215W for the RTX 2080, influencing cloud deployment costs indirectly.
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×) |
RTX 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the MI250X
The MI250X excels in enterprise AI training and large-scale inference where 128 GB HBM2e VRAM handles models exceeding 70 billion parameters without multi-GPU scaling. Its 383 TFLOPS FP16 performance cuts training times from days to hours on datasets like those in scientific computing. Cloud users prioritize it at $1.28 per hour when throughput justifies the premium over consumer alternatives.
When to Choose the RTX 2080
The RTX 2080 fits budget-conscious prototyping, gaming, or light inference tasks with its 8-11 GB GDDR6 suiting models under 7 billion parameters. At $0.05 per hour, it offers 10.1 TFLOPS FP32 for cost-effective fine-tuning or Stable Diffusion runs on small batches. Its 215W TDP and PCIe form factor enable easy integration in low-power cloud instances.
Use Cases
The MI250X's 128 GB HBM2e VRAM and 383 TFLOPS FP16 support training large language models with massive batches, unlike the RTX 2080's 8-11 GB limit.
High memory bandwidth of 3277 GB/s on the MI250X enables low-latency inference on full models, surpassing the RTX 2080's 616 GB/s constraints.
Smaller fine-tuning datasets fit the RTX 2080's 8-11 GB VRAM at low cost, but the MI250X accelerates with 383 TFLOPS for larger adaptations.
The RTX 2080's 10.1 TFLOPS FP16 suffices for image generation at $0.05 per hour, avoiding the MI250X's overkill for consumer-scale diffusion models.
MI250X's 128 GB VRAM and Infinity Fabric interconnect optimize simulations with huge arrays, outperforming the RTX 2080's PCIe and limited memory.
Frequently Asked Questions
What is the VRAM difference between MI250X and RTX 2080?▾
The MI250X provides 128 GB HBM2e VRAM, while the RTX 2080 offers 8-11 GB GDDR6. This allows the MI250X to manage datasets 12 to 16 times larger. Bandwidth reaches 3277 GB/s on MI250X versus 616 GB/s on RTX 2080.
How do FP32 performances compare?▾
MI250X delivers 383 TFLOPS FP32, compared to RTX 2080's 10.1 TFLOPS. This results in approximately 38 times faster scalar computations on MI250X. Both maintain equal FP16 and FP32 rates.
Which has lower cloud pricing?▾
RTX 2080 starts at $0.05 per hour, averaging $0.10 across eight offers, versus MI250X at $1.28 per hour averaging $1.46 over four. RTX 2080 suits cost-sensitive tasks. MI250X justifies expense for high throughput.
What are the TDPs of these GPUs?▾
MI250X requires 560W TDP in OAM form factor, demanding data center power. RTX 2080 uses 215W in PCIe, fitting consumer setups. This affects cooling and instance costs.
Can RTX 2080 handle LLM inference?▾
RTX 2080 manages small LLMs up to 7 billion parameters with 8-11 GB VRAM. Larger models exceed its capacity, unlike MI250X's 128 GB. Its 10.1 TFLOPS provides adequate speed for prototypes.
What interconnects do they use?▾
MI250X employs Infinity Fabric for multi-GPU scaling in clusters. RTX 2080 uses NVLink for SLI. These suit data center versus gaming configurations respectively.
Which is cheaper to rent, the MI250X or the RTX 2080?▾
Cloud rental prices for both the MI250X and RTX 2080 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 2080?▾
The MI250X has 128 GB of HBM2e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find MI250X and RTX 2080 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 2080?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX 2080 uses Turing (2018). The MI250X delivers 37.9x the FP16 throughput and 5.3x the memory bandwidth of the RTX 2080.