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 disparity defines usability: the MI250X's 383 TFLOPS in FP16 and FP32 enables training deep neural networks 38 times faster than the RTX 2080 Ti's 10.1 TFLOPS. For inference, this translates to higher throughput on large models, processing thousands more samples per second on MI250X.
Memory specs impact real-world tasks profoundly. The 128 GB HBM2e on MI250X supports massive batch sizes in training, avoiding out-of-memory errors common on RTX 2080 Ti's 8-11 GB GDDR6. Bandwidth of 3277 GB/s on MI250X minimizes data stalls during FP16-heavy operations like LLM fine-tuning, while 616 GB/s on RTX 2080 Ti constrains performance in bandwidth-bound scenarios such as scientific simulations.
Form factors reflect intent: OAM and Infinity Fabric suit clustered datacenter scaling on MI250X, whereas PCIe and NVLink fit single-node consumer setups on RTX 2080 Ti.
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 Ti
| 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 stands out for enterprise AI training where 128 GB VRAM accommodates models exceeding 11 GB, such as large language models with billions of parameters. Its 383 TFLOPS FP16 performance accelerates iterations, justifying $1.46/hr average cost in cloud environments demanding speed over budget.
When to Choose the RTX 2080 Ti
Opt for RTX 2080 Ti in cost-sensitive prototyping or gaming-assisted inference, where 10.1 TFLOPS suffices for models under 8 GB and $0.11/hr average pricing minimizes expense. Its 215W TDP enables easy desktop integration without datacenter infrastructure.
Use Cases
MI250X's 383 TFLOPS FP16/FP32 and 128 GB HBM2e VRAM support training massive models with large batches, far beyond RTX 2080 Ti's 10.1 TFLOPS and 11 GB capacity.
High 3277 GB/s bandwidth on MI250X enables low-latency serving of large models; RTX 2080 Ti's 616 GB/s limits scale.
MI250X handles fine-tuning on datasets fitting 128 GB VRAM efficiently at 383 TFLOPS, outperforming RTX 2080 Ti for production use.
RTX 2080 Ti's 10.1 TFLOPS suffices for image generation at $0.11/hr; MI250X overkill for consumer-scale diffusion models.
MI250X's 383 TFLOPS FP32 and Infinity Fabric excel in simulations; RTX 2080 Ti's lower specs constrain complex computations.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The MI250X achieves 383 TFLOPS in FP16 and FP32, 38 times the RTX 2080 Ti's 10.1 TFLOPS. This gap favors MI250X for intensive AI training.
How does VRAM compare between MI250X and RTX 2080 Ti?▾
MI250X provides 128 GB HBM2e versus RTX 2080 Ti's 8-11 GB GDDR6. Larger capacity on MI250X supports bigger models without splitting.
What are the cloud rental prices?▾
MI250X rents from $1.28/hr (average $1.46/hr) across 4 offers; RTX 2080 Ti from $0.06/hr (average $0.11/hr) across 6 offers. RTX 2080 Ti suits low-budget tasks.
Which has better memory bandwidth?▾
MI250X delivers 3277 GB/s, over 5 times the RTX 2080 Ti's 616 GB/s. This benefits data-heavy workloads like inference.
What is the power consumption difference?▾
MI250X requires 560W TDP, while RTX 2080 Ti uses 215W. Lower TDP makes RTX 2080 Ti viable for edge deployments.
Are these GPUs suited for datacenter use?▾
MI250X's OAM form factor and Infinity Fabric optimize for clusters; RTX 2080 Ti's PCIe suits single workstations.
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.