Specifications Compared
| Spec | MI250X | QUADRO-P6000 |
|---|---|---|
| TDP | 560W | 250W |
| VRAM | 128 GB | 24 GB |
| Memory Type | HBM2e | GDDR5X |
| Architecture | CDNA 2 | Pascal |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 383 TFLOPS | 12.6 TFLOPS |
| FP32 Performance | 383 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 432 GB/s |
Performance Analysis
MI250X delivers 383 TFLOPS in FP16 and FP32, dwarfing P6000's 12.6 TFLOPS: this translates to training deep learning models 30 times faster on MI250X, enabling large-scale LLM development that P6000 cannot handle efficiently. For inference, the high FP16 throughput on MI250X supports high-volume serving, whereas P6000 struggles with even moderate batch sizes due to its limited compute. Both GPUs offer matched FP16 and FP32 rates, indicating matrix-optimized designs, but MI250X's capacity accelerates mixed-precision training common in AI pipelines. Memory specs further diverge: MI250X's 3277 GB/s bandwidth and 128 GB HBM2e allow batch sizes up to 5 times larger than P6000's 24 GB GDDR5X at 432 GB/s, reducing out-of-memory errors in transformer models and speeding convergence. Power draw reflects this: MI250X at 560W sustains peak performance longer than P6000's 250W in sustained workloads.
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 P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the MI250X
Select MI250X for AI training and HPC simulations requiring massive VRAM and bandwidth: its 128 GB HBM2e handles models exceeding 24 GB, while 3277 GB/s supports large batches for faster iterations. Cloud users benefit from $1.28/hr starting price for 383 TFLOPS, ideal when compute density trumps legacy compatibility.
When to Choose the Quadro P6000
Choose Quadro P6000 for budget visualization or legacy CAD software: its PCIe form factor and 250W TDP integrate easily into older workstations, with 24 GB GDDR5X sufficient for moderate rendering at $1.10/hr average. It fits low-demand inference where 12.6 TFLOPS and 432 GB/s bandwidth avoid overprovisioning.
Use Cases
MI250X's 128 GB VRAM and 383 TFLOPS FP16 handle large models without splitting, unlike P6000's 24 GB limit. Its 3277 GB/s bandwidth enables efficient large-batch training.
High 383 TFLOPS FP16 on MI250X supports high-throughput serving for production LLMs. P6000's 12.6 TFLOPS cannot match latency demands.
MI250X 128 GB capacity fits full model fine-tuning, with 3277 GB/s speeding gradient updates. P6000 requires excessive quantization.
MI250X's 383 TFLOPS and high bandwidth generate images 30 times faster than P6000's 12.6 TFLOPS. Large VRAM avoids swapping.
Infinity Fabric interconnect and 383 TFLOPS FP32 excel in simulations on MI250X. P6000's specs limit complex datasets.
Frequently Asked Questions
What is the compute performance difference between MI250X and Quadro P6000?▾
MI250X provides 383 TFLOPS in FP16 and FP32, compared to P6000's 12.6 TFLOPS: this yields a 30 times advantage for AI tasks. Real-world training runs complete far quicker on MI250X.
How much VRAM do MI250X and P6000 have?▾
MI250X offers 128 GB HBM2e, while P6000 has 24 GB GDDR5X: the 5.3 times larger capacity on MI250X supports bigger models. This reduces memory bottlenecks in deep learning.
What are the cloud rental prices for these GPUs?▾
MI250X starts at $1.28/hr with $1.46/hr average across 4 offers; P6000 is $1.10/hr average over 6 offers. Pricing parity makes MI250X compelling for performance gains.
Which has higher memory bandwidth?▾
MI250X achieves 3277 GB/s, versus P6000's 432 GB/s: a 7.6 times edge enables larger batches. This boosts training stability and speed.
What are the TDPs of MI250X and P6000?▾
MI250X consumes 560W for sustained high performance; P6000 uses 250W, suiting lower-power setups. Higher TDP on MI250X correlates with its superior throughput.
Are these GPUs suitable for LLM workloads?▾
MI250X excels with 128 GB VRAM and 383 TFLOPS for LLMs; P6000's 24 GB limits it to small models. Choose MI250X for production-scale inference or training.
Which is cheaper to rent, the MI250X or the Quadro P6000?▾
Cloud rental prices for both the MI250X and Quadro P6000 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 P6000?▾
The MI250X has 128 GB of HBM2e memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find MI250X and Quadro P6000 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 P6000?▾
The MI250X uses the CDNA 2 architecture (2021) while the Quadro P6000 uses Pascal (2016). The MI250X delivers 30.4x the FP16 throughput and 7.6x the memory bandwidth of the Quadro P6000.