Specifications Compared
| Spec | MI250X | RTX-3080 |
|---|---|---|
| TDP | 560W | 320W |
| VRAM | 128 GB | 10-12 GB |
| Memory Type | HBM2e | GDDR6X |
| Architecture | CDNA 2 | Ampere |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 383 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 383 TFLOPS | 29.8 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 760 GB/s |
Performance Analysis
Raw compute power favors MI250X decisively: its 383 TFLOPS in FP16 and FP32 exceeds RTX 3080's 29.8 TFLOPS by over 12 times, accelerating training and inference for deep learning models. Equal FP16 and FP32 rates on both GPUs support balanced mixed-precision workflows, but MI250X scales to larger clusters via Infinity Fabric interconnect, unlike the PCIe-limited RTX 3080.
Memory specifications define real-world viability: 128 GB HBM2e on MI250X handles enormous batch sizes and models exceeding 10 GB, preventing out-of-memory errors common on RTX 3080's 10-12 GB GDDR6X. The 3277 GB/s bandwidth of MI250X, over four times RTX 3080's 760 GB/s, sustains high-throughput data movement, reducing bottlenecks in training loops with large datasets.
Power efficiency varies: MI250X's 560W TDP demands robust cooling and infrastructure, while RTX 3080's 320W suits lighter deployments. These traits make MI250X ideal for production-scale AI, whereas RTX 3080 excels in prototyping where cost trumps peak performance.
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
MI250X suits large-scale LLM training and scientific simulations requiring over 128 GB VRAM and 3277 GB/s bandwidth to process massive datasets without fragmentation. Its 383 TFLOPS FP16 performance enables rapid iterations on models too large for consumer GPUs.
Datacenter users benefit from OAM form factor and Infinity Fabric for multi-GPU scaling, justifying $1.28 per hour pricing in high-throughput environments.
When to Choose the RTX 3080
RTX 3080 fits budget-conscious developers running Stable Diffusion or fine-tuning small models within 10-12 GB VRAM limits. At $0.06 per hour, it delivers 29.8 TFLOPS FP16 for cost-effective inference on lightweight LLMs.
Gaming-adjacent tasks or PCIe-based single-GPU setups favor its 320W TDP and accessibility across eight cloud offers averaging $0.13 per hour.
Use Cases
MI250X's 128 GB HBM2e VRAM and 383 TFLOPS FP16 support training massive models with large batch sizes. RTX 3080's 10-12 GB limits it to smaller scales.
High 3277 GB/s bandwidth on MI250X enables low-latency serving of large models. RTX 3080 suffices for small LLMs but bottlenecks on bigger ones.
MI250X accelerates with 383 TFLOPS for complex fine-tuning; RTX 3080's 29.8 TFLOPS works for datasets fitting 10-12 GB VRAM at lower cost.
RTX 3080's 760 GB/s bandwidth and 10-12 GB VRAM handle image generation efficiently at $0.06 per hour. MI250X overkill for consumer-scale diffusion.
MI250X's 383 TFLOPS FP32 and Infinity Fabric excel in simulations needing high memory. RTX 3080 lacks capacity for large-scale scientific data.
Frequently Asked Questions
Which GPU has more VRAM: MI250X or RTX 3080?▾
MI250X provides 128 GB HBM2e VRAM, far exceeding RTX 3080's 10-12 GB GDDR6X. This allows MI250X to load models over 10 times larger. RTX 3080 suits smaller workloads.
How do their compute performances compare?▾
MI250X delivers 383 TFLOPS in FP16 and FP32, about 12 times RTX 3080's 29.8 TFLOPS per precision. This gap accelerates training on MI250X. Both balance FP16 and FP32 equally.
What is the price difference in cloud rentals?▾
RTX 3080 starts at $0.06 per hour averaging $0.13 across eight offers, versus MI250X's $1.28 per hour average $1.46 over four. RTX 3080 costs roughly one-tenth as much. Pricing reflects performance tiers.
Which is better for AI training?▾
MI250X excels with 3277 GB/s bandwidth and 128 GB VRAM for large-batch training. RTX 3080's 760 GB/s and 10-12 GB limit it to prototypes. Choose based on model size.
How do TDPs compare?▾
MI250X requires 560W TDP, demanding datacenter power, while RTX 3080 uses 320W for easier deployment. Higher TDP on MI250X correlates with its 383 TFLOPS output.
Can RTX 3080 handle large models like MI250X?▾
RTX 3080's 10-12 GB VRAM cannot match MI250X's 128 GB for large models. It bottlenecks at 760 GB/s bandwidth versus 3277 GB/s. Use RTX 3080 for models under 10 GB.
Which is cheaper to rent, the MI250X or the RTX 3080?▾
Cloud rental prices for both the MI250X and RTX 3080 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 3080?▾
The MI250X has 128 GB of HBM2e memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find MI250X and RTX 3080 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 3080?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX 3080 uses Ampere (2020). The MI250X delivers 12.9x the FP16 throughput and 4.3x the memory bandwidth of the RTX 3080.