Specifications Compared
| Spec | MI325X | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 750W | 230W |
| VRAM | 256 GB | 16 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 | 11.2 TFLOPS |
| FP32 Performance | 1307 TFLOPS | 11.2 TFLOPS |
| FP64 Performance | 40.9 TFLOPS | |
| INT8 Performance | 2,614 TOPS | |
| Memory Bandwidth | 6,000 GB/s | 448 GB/s |
Performance Analysis
MI325X outperforms Quadro RTX 5000 dramatically in compute: 1307 TFLOPS FP16 and FP32 enable training large models in hours, where Quadro RTX 5000's 11.2 TFLOPS requires days for similar tasks. The equal FP16 and FP32 rates on both suggest balanced tensor core usage, but MI325X's scale suits deep learning pipelines. FP8 at 2614 TFLOPS on MI325X accelerates quantized inference, unavailable on Quadro.
Memory specs define real-world limits: 256 GB HBM3e on MI325X supports batch sizes for 100B+ parameter LLMs, while 16 GB GDDR6 on Quadro RTX 5000 caps at small models or low batches, risking out-of-memory errors. Bandwidth of 6000 GB/s versus 448 GB/s reduces data loading stalls by 13 times on MI325X, critical for training throughput.
Power and form factor influence deployment: MI325X's 750W TDP demands robust cooling versus Quadro RTX 5000's efficient 230W, but PCIe compatibility eases legacy integration.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
When to Choose the MI325X
Choose MI325X for AI training and inference at scale: 1307 TFLOPS FP16 handles massive datasets, and 256 GB VRAM fits models beyond Quadro RTX 5000's 16 GB limit. High 6000 GB/s bandwidth supports large batch sizes in production environments like LLM development.
Infinity Fabric interconnect optimizes multi-GPU clusters, ideal for data centers lacking Quadro RTX 5000's $0.82 per hour cloud availability.
When to Choose the Quadro RTX 5000
Select Quadro RTX 5000 for cost-sensitive professional visualization or light compute: 11.2 TFLOPS FP32 suffices for CAD rendering, and 230W TDP fits workstations. Cloud pricing from $0.82 per hour across two offers undercuts unavailable MI325X options.
PCIe form factor integrates easily into existing setups for tasks not needing 256 GB VRAM.
Use Cases
MI325X's 256 GB HBM3e VRAM and 1307 TFLOPS FP16 support massive models and large batches. Quadro RTX 5000's 16 GB limits scale.
2614 TFLOPS FP8 and 6000 GB/s bandwidth on MI325X enable high-throughput serving. Quadro RTX 5000's 11.2 TFLOPS cannot compete.
1307 TFLOPS FP32 and 256 GB VRAM handle parameter-efficient tuning on large LLMs. Quadro RTX 5000's 16 GB VRAM restricts model size.
Quadro RTX 5000's 16 GB GDDR6 and 11.2 TFLOPS suffice for image generation at $0.82 per hour. MI325X is overprovisioned for single-node creative tasks.
MI325X's 6000 GB/s bandwidth and 1307 TFLOPS FP32 accelerate simulations. Quadro RTX 5000's 448 GB/s bottlenecks complex datasets.
Frequently Asked Questions
What is the VRAM difference between MI325X and Quadro RTX 5000?▾
MI325X has 256 GB HBM3e VRAM, while Quadro RTX 5000 offers 16 GB GDDR6. This 16-fold gap allows MI325X to load much larger AI models without swapping.
How do FP16 performance levels compare?▾
MI325X achieves 1307 TFLOPS FP16, over 116 times higher than Quadro RTX 5000's 11.2 TFLOPS. This boosts deep learning training speed significantly.
What are the memory bandwidth specs?▾
MI325X provides 6000 GB/s, 13 times the 448 GB/s of Quadro RTX 5000. Higher bandwidth reduces data bottlenecks in large-batch processing.
What is the TDP for each GPU?▾
MI325X requires 750W TDP for its compute power, compared to Quadro RTX 5000's 230W. Lower TDP on Quadro suits power-constrained environments.
Is Quadro RTX 5000 available in the cloud?▾
Quadro RTX 5000 has live cloud offers from $0.82 per hour average across two providers. MI325X currently has no live offers.
What architectures do they use?▾
MI325X uses 2024 CDNA 3 architecture, while Quadro RTX 5000 is on 2018 Turing. The six-year gap explains MI325X's superior AI optimizations.
Which is cheaper to rent, the MI325X or the Quadro RTX 5000?▾
Cloud rental prices for both the MI325X and Quadro RTX 5000 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 Quadro RTX 5000?▾
The MI325X has 256 GB of HBM3e memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find MI325X and Quadro RTX 5000 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 Quadro RTX 5000?▾
The MI325X uses the CDNA 3 architecture (2024) while the Quadro RTX 5000 uses Turing (2018). The MI325X delivers 116.7x the FP16 throughput and 13.4x the memory bandwidth of the Quadro RTX 5000.