Specifications Compared
| Spec | MI250X | QUADRO-P5000 |
|---|---|---|
| TDP | 560W | 180W |
| VRAM | 128 GB | 16 GB |
| Memory Type | HBM2e | GDDR5X |
| Architecture | CDNA 2 | Pascal |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 383 TFLOPS | 8.9 TFLOPS |
| FP32 Performance | 383 TFLOPS | 8.9 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 288 GB/s |
Performance Analysis
The MI250X's 383 TFLOPS FP16 and FP32 throughput vastly outpaces the Quadro P5000's 8.9 TFLOPS in both metrics, providing approximately 43 times the compute power for deep learning operations. This delta translates to dramatically faster model training times on the MI250X, where FP32 handles gradient computations and FP16 accelerates matrix multiplications in frameworks like PyTorch.
Memory capacity emerges as a critical factor: 128 GB HBM2e on the MI250X supports massive transformer models that exceed the P5000's 16 GB GDDR5X limit, preventing out-of-memory errors during inference or fine-tuning. Bandwidth reinforces this advantage, with 3277 GB/s on the MI250X enabling larger batch sizes and reduced data loading latency compared to 288 GB/s on the P5000, which bottlenecks high-throughput workloads.
Power consumption differs significantly at 560W TDP for the MI250X versus 180W for the P5000, reflecting the former's dense compute optimized for data centers. In real-world terms, the MI250X sustains high utilization in multi-GPU clusters via Infinity Fabric, while the P5000 suits single-node, low-power inference but falters in memory-intensive 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 P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | Available |
When to Choose the MI250X
Opt for the MI250X in large-scale AI training and HPC simulations requiring over 128 GB VRAM, such as training billion-parameter LLMs where the 383 TFLOPS FP16 performance accelerates iterations. Its 3277 GB/s bandwidth supports massive batch sizes in distributed setups via Infinity Fabric, ideal for research labs scaling compute on cloud platforms at $1.28 per hour starting price.
The OAM form factor and CDNA 2 architecture excel in data center environments needing high memory density for scientific computing or generative AI pipelines.
When to Choose the Quadro P5000
Select the Quadro P5000 for cost-sensitive visualization tasks like CAD rendering or light professional graphics, where 16 GB GDDR5X and 8.9 TFLOPS suffice at $0.78 per hour. Its 180W TDP and PCIe compatibility fit edge workstations or legacy software not optimized for modern architectures.
This GPU serves small-scale inference or development prototyping without the MI250X's power overhead.
Use Cases
The MI250X's 128 GB HBM2e VRAM and 383 TFLOPS FP16 performance enable training large language models with massive datasets, far beyond the P5000's 16 GB and 8.9 TFLOPS constraints.
MI250X supports high-throughput inference for billion-parameter models via 3277 GB/s bandwidth, while P5000's 288 GB/s and low VRAM limit it to tiny models.
With 383 TFLOPS FP32 and ample 128 GB memory, MI250X accelerates fine-tuning on large datasets; P5000 cannot handle the required batch sizes.
MI250X's high FP16 performance and memory capacity generate high-resolution images quickly; P5000's specs yield slow, low-quality outputs.
Infinity Fabric interconnect and 3277 GB/s bandwidth on MI250X optimize multi-GPU simulations; P5000 lacks scalability for complex computations.
Frequently Asked Questions
Which GPU has more VRAM: MI250X or Quadro P5000?▾
The MI250X provides 128 GB HBM2e VRAM, compared to the Quadro P5000's 16 GB GDDR5X. This eightfold difference allows the MI250X to load significantly larger models without swapping.
How do FP32 performance levels compare between MI250X and Quadro P5000?▾
MI250X achieves 383 TFLOPS FP32, over 43 times the Quadro P5000's 8.9 TFLOPS. This gap accelerates training and simulations on the MI250X.
What is the memory bandwidth difference?▾
MI250X offers 3277 GB/s, about 11 times the Quadro P5000's 288 GB/s. Higher bandwidth on MI250X supports larger batches and faster data transfers.
Which GPU is cheaper in the cloud?▾
Quadro P5000 starts at $0.78 per hour average across six offers, versus MI250X from $1.28 per hour averaging $1.46 across four. P5000 suits low-budget tasks.
What are the TDP ratings?▾
MI250X consumes 560W TDP, while Quadro P5000 uses 180W. Lower power on P5000 fits constrained environments.
Which is newer: MI250X or Quadro P5000?▾
MI250X uses 2021 CDNA 2 architecture; Quadro P5000 relies on 2016 Pascal. The five-year gap gives MI250X modern optimizations.
Which is cheaper to rent, the MI250X or the Quadro P5000?▾
Cloud rental prices for both the MI250X and Quadro P5000 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 P5000?▾
The MI250X has 128 GB of HBM2e memory. The Quadro P5000 has 16 GB of GDDR5X memory.
Can I find MI250X and Quadro P5000 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 P5000?▾
The MI250X uses the CDNA 2 architecture (2021) while the Quadro P5000 uses Pascal (2016). The MI250X delivers 43.0x the FP16 throughput and 11.4x the memory bandwidth of the Quadro P5000.