Specifications Compared
| Spec | MI325X | RTX-2080 |
|---|---|---|
| TDP | 750W | 215W |
| VRAM | 256 GB | 8-11 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | CDNA 3 | Turing |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 1307 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 40.9 TFLOPS | |
| INT8 Performance | 2,614 TOPS | |
| Memory Bandwidth | 6,000 GB/s | 616 GB/s |
Performance Analysis
Compute performance defines the core disparity: the MI325X achieves 1307 TFLOPS in both FP16 and FP32, dwarfing the RTX 2080's 10.1 TFLOPS in each precision. This translates to over 129-fold acceleration for deep learning training, where FP16 tensor cores dominate matrix multiplications in frameworks like PyTorch. Inference benefits similarly, with the MI325X supporting FP8 at 2614 TFLOPS for ultra-low latency on quantized models.
Memory specifications amplify real-world impacts: 6000 GB/s bandwidth on the MI325X permits batch sizes up to 40 times larger than the RTX 2080's 616 GB/s limit, reducing out-of-memory errors in transformer models. For LLM training, 256 GB HBM3e VRAM accommodates full parameter sets of 100B+ models without sharding, while 8-11 GB GDDR6 on the RTX 2080 restricts users to sub-1B parameter inference or heavy quantization.
Power and form factor further differentiate usage: the MI325X's 750W TDP suits rack-scale clusters via OAM and Infinity Fabric, optimizing multi-GPU scaling. The RTX 2080's 215W PCIe design with NVLink favors edge or desktop setups but bottlenecks at scale due to limited interconnect efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 MI325X
The MI325X excels in large-scale AI workloads: its 256 GB HBM3e VRAM and 6000 GB/s bandwidth enable training of models exceeding 70B parameters without model parallelism. Datacenter environments benefit from 1307 TFLOPS FP16 for accelerated convergence in scientific simulations or HPC tasks requiring sustained FP32 precision.
Users prioritizing raw throughput over cost select the MI325X for production inference pipelines, where FP8 at 2614 TFLOPS handles high-concurrency requests unattainable on consumer hardware.
When to Choose the RTX 2080
The RTX 2080 suits budget-conscious prototyping: cloud pricing starts at $0.05 per hour across eight offers, making it ideal for small-scale inference or fine-tuning under 1B parameters within its 8-11 GB VRAM.
Gaming and lightweight ML tasks favor its 215W TDP and PCIe form factor, enabling easy deployment in personal workstations without datacenter infrastructure demands.
Use Cases
The MI325X's 256 GB VRAM and 1307 TFLOPS FP16 support full-parameter training of large models without sharding. The RTX 2080's 8-11 GB limits it to tiny datasets.
MI325X FP8 at 2614 TFLOPS and 6000 GB/s bandwidth handle high-throughput quantized inference. RTX 2080 suits only sub-1B models due to 616 GB/s constraint.
256 GB HBM3e enables large batch sizes on MI325X for efficient fine-tuning. RTX 2080's 10.1 TFLOPS FP16 restricts to small adapters.
RTX 2080's Turing architecture optimizes consumer image generation at $0.05 per hour. MI325X overkill for 8 GB model requirements.
MI325X 1307 TFLOPS FP32 accelerates simulations with massive datasets. RTX 2080's 10.1 TFLOPS falls short for complex HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM: MI325X or RTX 2080?▾
The MI325X provides 256 GB HBM3e VRAM, compared to the RTX 2080's 8-11 GB GDDR6. This enables the MI325X to load models over 20 times larger without offloading.
How much faster is MI325X in FP16 than RTX 2080?▾
MI325X delivers 1307 TFLOPS FP16, over 129 times the RTX 2080's 10.1 TFLOPS. Training epochs complete dramatically faster on MI325X.
What is the memory bandwidth difference?▾
MI325X offers 6000 GB/s, nearly 10 times the RTX 2080's 616 GB/s. Larger batches and reduced latency result in MI325X workflows.
RTX 2080 cloud pricing versus MI325X?▾
RTX 2080 starts at $0.05 per hour with average $0.10 across eight offers. MI325X has no live offers currently.
Power consumption of MI325X vs RTX 2080?▾
MI325X TDP is 750W for datacenter use, while RTX 2080 draws 215W suitable for desktops. Efficiency scales with workload intensity.
Best for AI training: MI325X or RTX 2080?▾
MI325X dominates with 1307 TFLOPS and 256 GB VRAM for large models. RTX 2080 limits to prototypes under 1B parameters.
Which is cheaper to rent, the MI325X or the RTX 2080?▾
Cloud rental prices for both the MI325X 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 MI325X have compared to the RTX 2080?▾
The MI325X has 256 GB of HBM3e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find MI325X 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 MI325X and the RTX 2080?▾
The MI325X uses the CDNA 3 architecture (2024) while the RTX 2080 uses Turing (2018). The MI325X delivers 129.4x the FP16 throughput and 9.7x the memory bandwidth of the RTX 2080.