Specifications Compared
| Spec | MI250X | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 560W | 230W |
| VRAM | 128 GB | 16 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Turing |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP16 Performance | 383 TFLOPS | 11.2 TFLOPS |
| FP32 Performance | 383 TFLOPS | 11.2 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 448 GB/s |
Performance Analysis
MI250X vastly outperforms Quadro RTX 5000 in compute throughput: 383 TFLOPS for both FP16 and FP32 versus 11.2 TFLOPS on each precision for Quadro. This gap translates to dramatically faster AI training times on MI250X, where FP32 dominance supports full-precision model optimization without tensor core compromises seen in older Turing designs.
Memory capacity and speed define workload feasibility: MI250X's 128 GB HBM2e at 3277 GB/s bandwidth enables large batch sizes in deep learning, reducing iterations for convergence in LLM training. Quadro's 16 GB GDDR6 at 448 GB/s constrains it to smaller models or inference with reduced throughput.
Power efficiency differs with MI250X at 560W TDP versus Quadro's 230W, impacting cloud instance density but favoring MI250X for raw output per dollar in high-utilization scenarios.
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×) |
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 MI250X
Select MI250X for intensive AI training or HPC simulations demanding extreme resources: its 383 TFLOPS FP32 performance and 128 GB VRAM handle billion-parameter models without memory swaps. The 3277 GB/s bandwidth sustains large-batch processing in scientific computing.
OAM form factor and Infinity Fabric suit multi-node clusters, ideal for enterprises scaling beyond single-GPU limits at $1.46 per hour average.
When to Choose the Quadro RTX 5000
Opt for Quadro RTX 5000 in cost-sensitive professional workflows like CAD rendering or light ML inference: 16 GB VRAM and 11.2 TFLOPS suffice for models under 10 billion parameters. Lower 230W TDP and $0.82 per hour pricing minimize expenses for sporadic use.
PCIe compatibility fits workstation emulation in clouds, with NVLink enabling dual-GPU setups for visualization tasks.
Use Cases
MI250X's 383 TFLOPS FP32 and 128 GB HBM2e VRAM enable training of large language models with massive batches. Quadro RTX 5000's 16 GB limits scale severely.
High 3277 GB/s bandwidth on MI250X supports high-concurrency inference for production LLMs. Quadro's 448 GB/s bandwidth bottlenecks throughput.
128 GB VRAM accommodates full model loading during fine-tuning on MI250X. 11.2 TFLOPS on Quadro RTX 5000 slows iterations significantly.
MI250X accelerates generation with 383 TFLOPS FP16, but Quadro RTX 5000's 16 GB GDDR6 handles standard resolutions at lower $0.82 per hour cost.
MI250X's 383 TFLOPS FP32 and Infinity Fabric excel in parallel simulations. Quadro's 230W TDP suits lighter tasks only.
Frequently Asked Questions
Which GPU has more VRAM?▾
MI250X features 128 GB HBM2e VRAM, dwarfing Quadro RTX 5000's 16 GB GDDR6. This enables MI250X to manage datasets too large for Quadro.
What are the FP32 performance differences?▾
MI250X delivers 383 TFLOPS FP32, compared to 11.2 TFLOPS on Quadro RTX 5000. Training times on MI250X are over 34 times faster.
How do memory bandwidths compare?▾
MI250X provides 3277 GB/s bandwidth with HBM2e, versus 448 GB/s on Quadro RTX 5000's GDDR6. Larger batches process faster on MI250X.
What is the pricing on gpuperhour.com?▾
MI250X starts at $1.28 per hour (average $1.46 across 4 offers), while Quadro RTX 5000 is $0.82 per hour (average $0.82 across 2 offers). Costs align with performance tiers.
Which has higher power consumption?▾
MI250X draws 560W TDP, double Quadro RTX 5000's 230W. This reflects MI250X's data center orientation versus Quadro's workstation design.
What architectures do they use?▾
MI250X employs CDNA 2 from 2021 for compute, while Quadro RTX 5000 uses Turing from 2018 for graphics. MI250X leads in modern AI efficiency.
Which is cheaper to rent, the MI250X or the Quadro RTX 5000?▾
Cloud rental prices for both the MI250X 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 MI250X have compared to the Quadro RTX 5000?▾
The MI250X has 128 GB of HBM2e memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find MI250X 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 MI250X and the Quadro RTX 5000?▾
The MI250X uses the CDNA 2 architecture (2021) while the Quadro RTX 5000 uses Turing (2018). The MI250X delivers 34.2x the FP16 throughput and 7.3x the memory bandwidth of the Quadro RTX 5000.