Specifications Compared
| Spec | MI355X | RTX-2080 |
|---|---|---|
| TDP | 750W | 215W |
| VRAM | 288 GB | 8-11 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | CDNA 4 | Turing |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP8 Performance | 4,600 TFLOPS | |
| FP16 Performance | 2,300 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 2300 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 72 TFLOPS | |
| INT8 Performance | 4,600 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 616 GB/s |
Performance Analysis
The MI355X's identical 2300 TFLOPS ratings for FP16 and FP32 performance indicate balanced capabilities for both model training and inference tasks, far surpassing the RTX 2080 Ti's 10.1 TFLOPS in each. This 228-fold advantage in FP16 allows the MI355X to process tensor operations at scales suitable for massive neural networks, reducing training times dramatically. FP8 at 4600 TFLOPS on the MI355X further accelerates inference for quantized models.
Memory differences prove critical: 288 GB HBM3e versus 11 GB GDDR6 supports enormous batch sizes on the MI355X, preventing out-of-memory errors in large language model training. The 8000 GB/s bandwidth versus 616 GB/s minimizes bottlenecks in data loading, enabling higher throughput in memory-bound scenarios like scientific simulations. Consequently, the MI355X excels in high-scale AI, while the RTX 2080 Ti suits smaller workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 MI355X
The MI355X suits large-scale AI training and HPC applications requiring over 288 GB VRAM and 8000 GB/s bandwidth. Researchers handling massive datasets or LLMs benefit from its 2300 TFLOPS FP16/FP32 performance and 4600 TFLOPS FP8 for efficient inference. Its Infinity Fabric interconnect optimizes multi-GPU clusters in OAM form factors for datacenter deployments.
When to Choose the RTX 2080 Ti
The RTX 2080 Ti fits budget-conscious users for light gaming, prototyping, or small-scale inference with its 11 GB VRAM and 616 GB/s bandwidth at $0.06 per hour starting price. Low 215W TDP and PCIe form factor make it ideal for edge computing or personal workstations. NVLink supports basic multi-GPU setups for tasks not demanding extreme scale.
Use Cases
The MI355X's 288 GB HBM3e VRAM and 8000 GB/s bandwidth handle massive models without issues. Its 2300 TFLOPS FP16 outperforms the RTX 2080 Ti's 10.1 TFLOPS by orders of magnitude.
4600 TFLOPS FP8 and 2300 TFLOPS FP16 enable high-throughput serving on the MI355X. The RTX 2080 Ti's 11 GB VRAM limits it to small models.
MI355X supports large batch sizes with 288 GB VRAM versus 11 GB on RTX 2080 Ti. Balanced 2300 TFLOPS FP16/FP32 accelerates iterations.
RTX 2080 Ti's 10.1 TFLOPS FP16 suffices for consumer image generation at low cost of $0.06 per hour. MI355X's 750W TDP is overkill for single-user tasks.
MI355X's 8000 GB/s bandwidth and 2300 TFLOPS FP32 excel in simulations. RTX 2080 Ti's 616 GB/s bandwidth constrains complex datasets.
Frequently Asked Questions
Which has more VRAM: MI355X or RTX 2080 Ti?▾
The MI355X provides 288 GB HBM3e VRAM, vastly exceeding the RTX 2080 Ti's 11 GB GDDR6. This enables larger models on MI355X. Bandwidth also favors MI355X at 8000 GB/s over 616 GB/s.
Is MI355X better for AI training than RTX 2080 Ti?▾
Yes, MI355X's 2300 TFLOPS FP16/FP32 dwarfs the RTX 2080 Ti's 10.1 TFLOPS. Its 288 GB VRAM supports huge batches. RTX 2080 Ti suits only small-scale training.
What is the power consumption difference?▾
MI355X has a 750W TDP, while RTX 2080 Ti uses 215W. This makes RTX 2080 Ti more efficient for low-power setups. MI355X prioritizes peak performance.
RTX 2080 Ti cloud pricing?▾
RTX 2080 Ti starts at $0.06 per hour, averaging $0.11 per hour across six offers. MI355X has no live offers. It provides value for legacy tasks.
Can RTX 2080 Ti handle large LLMs?▾
No, its 11 GB VRAM limits it to small models unlike MI355X's 288 GB. Bandwidth of 616 GB/s further restricts throughput. Use MI355X for scale.
MI355X architecture vs Turing?▾
MI355X uses 2025 CDNA 4 for datacenter AI, while RTX 2080 Ti's 2018 Turing targets gaming. MI355X offers 4600 TFLOPS FP8 absent in Turing. Interconnects differ: Infinity Fabric versus NVLink.
Which is cheaper to rent, the MI355X or the RTX 2080?▾
Cloud rental prices for both the MI355X 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 MI355X have compared to the RTX 2080?▾
The MI355X has 288 GB of HBM3e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find MI355X 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 MI355X and the RTX 2080?▾
The MI355X uses the CDNA 4 architecture (2025) while the RTX 2080 uses Turing (2018). The MI355X delivers 227.7x the FP16 throughput and 13.0x the memory bandwidth of the RTX 2080.