Specifications Compared
| Spec | MI250X | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 560W | 400W |
| VRAM | 128 GB | 96 GB |
| Memory Type | HBM2e | GDDR7 |
| Architecture | CDNA 2 | Blackwell |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP16 Performance | 383 TFLOPS | 125 TFLOPS |
| FP32 Performance | 383 TFLOPS | 125 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 1,792 GB/s |
Performance Analysis
MI250X outperforms in FP16 and FP32 compute: its 383 TFLOPS ratings double the RTX PRO 6000's 125 TFLOPS, accelerating model training where full precision matters. This delta shortens training times for large language models by enabling faster forward and backward passes. RTX PRO 6000 excels in FP8 at 2000 TFLOPS, suiting quantized inference tasks with reduced precision needs. Memory differences prove critical: MI250X's 128 GB HBM2e and 3277 GB/s bandwidth support larger batch sizes than RTX PRO 6000's 96 GB GDDR7 and 1792 GB/s, minimizing out-of-memory errors in data-heavy training. Higher bandwidth on MI250X reduces data transfer bottlenecks, improving throughput for memory-bound operations. Power draw impacts density: RTX PRO 6000's 400W TDP allows more units per rack versus MI250X's 560W, aiding cost-sensitive deployments. Interconnects differ too, with Infinity Fabric on MI250X versus NVLink on RTX PRO 6000, affecting multi-GPU scaling.
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×) |
RTX PRO 6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 VERDA | 2×NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 60 vCPU 180GB RAM | Helsinki | $1.89/GPU/hr $3.78/hr total (2×) | Available | ||
VERDA | NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 30 vCPU 90GB RAM | Helsinki | $1.89/GPU/hr | Available |
When to Choose the MI250X
MI250X suits large-scale AI training: its 128 GB VRAM handles massive datasets without splitting, and 3277 GB/s bandwidth sustains high batch sizes. Scenarios like scientific simulations or HPC workloads benefit from 383 TFLOPS FP32 performance. OAM form factor integrates into dense server designs for sustained high-throughput jobs.
When to Choose the RTX PRO 6000
RTX PRO 6000 fits inference-heavy pipelines: 2000 TFLOPS FP8 accelerates quantized serving, while 400W TDP lowers operational costs. PCIe form factor simplifies integration into standard workstations, and NVLink enables efficient multi-GPU inference clusters. Budget-conscious users favor its $0.59 per hour starting price for prototyping.
Use Cases
MI250X's 383 TFLOPS FP16 and 128 GB VRAM support larger batches and models than RTX PRO 6000's 125 TFLOPS and 96 GB.
RTX PRO 6000's 2000 TFLOPS FP8 excels in quantized serving, outperforming MI250X's lower low-precision capabilities.
MI250X's 3277 GB/s bandwidth and 383 TFLOPS FP32 handle memory-intensive updates better than RTX PRO 6000's 1792 GB/s.
Both GPUs manage image generation well, but MI250X offers more VRAM for high-res batches while RTX PRO 6000 provides cheaper FP8 acceleration.
MI250X's 383 TFLOPS FP32 and Infinity Fabric scaling suit simulations requiring high precision and multi-node performance.
Frequently Asked Questions
Which has more VRAM, MI250X or RTX PRO 6000?▾
MI250X provides 128 GB HBM2e VRAM, exceeding RTX PRO 6000's 96 GB GDDR7. This advantage aids large model training. Bandwidth follows suit at 3277 GB/s versus 1792 GB/s.
What are the FP16 performance differences?▾
MI250X achieves 383 TFLOPS FP16, over three times RTX PRO 6000's 125 TFLOPS. This boosts training speed. RTX PRO 6000 counters with 2000 TFLOPS FP8 for inference.
How do power consumptions compare?▾
MI250X draws 560W TDP, higher than RTX PRO 6000's 400W. Lower TDP on RTX PRO 6000 improves rack density. Both suit cloud environments with pricing from $0.59 to $1.28 per hour.
What is the cheapest cloud pricing?▾
RTX PRO 6000 starts at $0.59 per hour across five offers, undercutting MI250X's $1.28 per hour over four offers. Averages are $1.25 and $1.46 respectively.
Which architecture is newer?▾
RTX PRO 6000 uses Blackwell from 2025, postdating MI250X's CDNA 2 from 2021. Newer design includes FP8 optimizations. MI250X retains strengths in FP32 compute.
Can they scale multi-GPU?▾
MI250X employs Infinity Fabric, RTX PRO 6000 uses NVLink for interconnects. Both enable scaling, but form factors differ: OAM for MI250X, PCIe for RTX PRO 6000.
Which is cheaper to rent, the MI250X or the RTX PRO 6000?▾
Cloud rental prices for both the MI250X and RTX PRO 6000 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 RTX PRO 6000?▾
The MI250X has 128 GB of HBM2e memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find MI250X and RTX PRO 6000 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 RTX PRO 6000?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX PRO 6000 uses Blackwell (2025). The MI250X delivers 3.1x the FP16 throughput and 1.8x the memory bandwidth of the RTX PRO 6000.