Specifications Compared
| Spec | MI250X | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 560W | 260W |
| VRAM | 128 GB | 48 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Turing |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP16 Performance | 383 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 383 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 672 GB/s |
Performance Analysis
The MI250X demonstrates overwhelming compute superiority: its 383 TFLOPS FP32 rating exceeds the Quadro RTX 8000's 16.3 TFLOPS by a factor of 23.5, enabling faster model training cycles and inference passes in deep learning pipelines. Equivalent FP16 and FP32 performance on the MI250X supports balanced tensor core utilization for mixed-precision training, reducing overall time for large-scale neural networks compared to the Turing-based Quadro's limitations.
Memory capacity and bandwidth define key real-world differences: the MI250X's 128 GB HBM2e allows batch sizes far larger than the 48 GB GDDR6 on the Quadro RTX 8000, minimizing out-of-memory errors in LLM fine-tuning or scientific simulations. The 3277 GB/s bandwidth on the MI250X accelerates data transfers by 4.9 times over the 672 GB/s of the Quadro, improving throughput for memory-bound tasks like Stable Diffusion generation.
Power efficiency varies significantly: the MI250X consumes 560 W TDP for its datacenter role, while the Quadro RTX 8000 uses 260 W, suiting lower-power workstation scenarios but yielding diminished returns in sustained compute.
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×) |
When to Choose the MI250X
The MI250X excels in datacenter-scale AI and HPC workloads: its 128 GB VRAM handles massive models during LLM training, and 383 TFLOPS FP32 performance completes iterations 23 times faster than the Quadro RTX 8000. Cloud availability at $1.28 per hour makes it ideal for on-demand scaling in fine-tuning or scientific computing where 3277 GB/s bandwidth supports large batch sizes.
Teams requiring Infinity Fabric interconnects for multi-GPU clusters choose the MI250X over PCIe-based alternatives.
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 suits legacy workstation environments: its 260 W TDP and PCIe form factor integrate easily into professional visualization setups without datacenter power infrastructure. Users with existing NVLink configurations or no need for cloud deployment prefer it, as 48 GB VRAM suffices for moderate rendering tasks where 16.3 TFLOPS meets requirements.
Low availability in cloud listings favors local procurement for non-scalable inference or design workflows.
Use Cases
The MI250X's 383 TFLOPS FP32 and 128 GB VRAM support massive batch sizes for efficient training. The Quadro RTX 8000's 16.3 TFLOPS limits scalability.
High 3277 GB/s bandwidth on the MI250X accelerates inference throughput for large models. The Quadro RTX 8000's 672 GB/s bandwidth constrains real-time performance.
MI250X handles fine-tuning with 128 GB capacity versus 48 GB on Quadro RTX 8000, avoiding memory swaps. Its FP performance speeds convergence.
MI250X's superior 383 TFLOPS generates images faster than the 16.3 TFLOPS Quadro RTX 8000. Higher bandwidth improves diffusion step efficiency.
The MI250X's CDNA 2 architecture and 3277 GB/s bandwidth excel in simulations. Quadro RTX 8000's Turing limits complex dataset processing.
Frequently Asked Questions
What is the FP32 performance difference between MI250X and Quadro RTX 8000?▾
The MI250X achieves 383 TFLOPS FP32, while the Quadro RTX 8000 delivers 16.3 TFLOPS. This results in the MI250X being 23.5 times faster for compute-intensive tasks.
How much VRAM do these GPUs have?▾
MI250X features 128 GB HBM2e VRAM for large models. Quadro RTX 8000 provides 48 GB GDDR6, suitable for smaller workloads.
What are the cloud pricing details?▾
MI250X starts at $1.28 per hour with an average of $1.46 per hour across four offers. No live cloud offers exist for Quadro RTX 8000.
Compare memory bandwidth of MI250X vs Quadro RTX 8000.▾
MI250X offers 3277 GB/s bandwidth for rapid data movement. Quadro RTX 8000 has 672 GB/s, about 4.9 times lower.
What are the TDPs for these GPUs?▾
MI250X requires 560 W TDP for datacenter use. Quadro RTX 8000 uses 260 W, better for workstations.
Which architecture do they use?▾
MI250X employs CDNA 2 from 2021 optimized for compute. Quadro RTX 8000 uses Turing from 2018 focused on professional graphics.
Which is cheaper to rent, the MI250X or the Quadro RTX 8000?▾
Cloud rental prices for both the MI250X and Quadro RTX 8000 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 8000?▾
The MI250X has 128 GB of HBM2e memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find MI250X and Quadro RTX 8000 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 8000?▾
The MI250X uses the CDNA 2 architecture (2021) while the Quadro RTX 8000 uses Turing (2018). The MI250X delivers 23.5x the FP16 throughput and 4.9x the memory bandwidth of the Quadro RTX 8000.