Specifications Compared
| Spec | MI250X | RTX-5000-ADA |
|---|---|---|
| TDP | 560W | 250W |
| VRAM | 128 GB | 32 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 383 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 383 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 576 GB/s |
Performance Analysis
The MI250X vastly outperforms the RTX 5000 Ada in raw compute: 383 TFLOPS FP16 and FP32 versus 65.3 TFLOPS enables up to 5.9 times faster matrix operations critical for deep learning. This delta accelerates LLM training epochs and inference throughput, especially for models exceeding 32 GB VRAM requirements.
Memory specs define workload scalability: the MI250X's 128 GB HBM2e and 3277 GB/s bandwidth support batch sizes five times larger than the RTX 5000 Ada's 32 GB GDDR6 and 576 GB/s, minimizing data loading bottlenecks in training. High bandwidth sustains peak FP16 utilization during gradient computations, while lower RTX bandwidth risks stalling large-batch inference.
Power draw impacts density: 560W TDP demands robust cooling versus 250W, but yields superior TFLOPS per watt at 0.68 versus 0.26 for the RTX 5000 Ada.
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 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the MI250X
Select the MI250X for large-scale AI training or scientific simulations requiring over 32 GB VRAM: its 128 GB HBM2e handles models like 70B-parameter LLMs without multi-GPU sharding. Infinity Fabric interconnect excels in AMD clusters for distributed training at 383 TFLOPS FP32, justifying $1.28 per hour when throughput trumps cost.
When to Choose the RTX 5000 Ada
Opt for the RTX 5000 Ada in cost-sensitive or power-constrained setups: at $0.25 per hour, it delivers 65.3 TFLOPS FP16 for fine-tuning smaller models or Stable Diffusion within 32 GB GDDR6 limits. PCIe form factor integrates easily into workstations, and 250W TDP suits edge deployments without high cooling needs.
Use Cases
MI250X's 128 GB HBM2e and 383 TFLOPS FP16 support massive batch sizes for billion-parameter models. RTX 5000 Ada's 32 GB limits scaling.
High 3277 GB/s bandwidth on MI250X sustains high-throughput serving for large models. RTX 5000 Ada suffices only for smaller deployments at lower cost.
RTX 5000 Ada's 65.3 TFLOPS and $0.25 per hour fit budget fine-tuning under 32 GB. MI250X accelerates larger tasks with 128 GB VRAM.
RTX 5000 Ada's Ada Lovelace architecture and 32 GB GDDR6 optimize image generation at 250W TDP. MI250X overkill for typical resolutions.
MI250X's 383 TFLOPS FP32 and Infinity Fabric excel in HPC simulations. RTX 5000 Ada's lower specs constrain complex datasets.
Frequently Asked Questions
Which has more VRAM: MI250X or RTX 5000 Ada?▾
The MI250X provides 128 GB HBM2e VRAM, four times the RTX 5000 Ada's 32 GB GDDR6. This enables larger models on MI250X without splitting across GPUs.
How do FP16 performance levels compare?▾
MI250X achieves 383 TFLOPS FP16, nearly six times the RTX 5000 Ada's 65.3 TFLOPS. Expect proportionally faster AI training on MI250X.
What is the price difference in cloud rentals?▾
RTX 5000 Ada starts at $0.25 per hour averaging $0.51 across five offers, versus MI250X at $1.28 averaging $1.46 across four. RTX offers better value for light workloads.
Does memory bandwidth differ significantly?▾
MI250X delivers 3277 GB/s, over five times the RTX 5000 Ada's 576 GB/s. Higher bandwidth reduces bottlenecks in data-intensive tasks.
Which GPU uses less power?▾
RTX 5000 Ada consumes 250W TDP, half the MI250X's 560W. Lower TDP suits dense or mobile setups.
What form factors do they support?▾
MI250X uses OAM for data centers with Infinity Fabric. RTX 5000 Ada employs PCIe for workstations.
Which is cheaper to rent, the MI250X or the RTX 5000 Ada?▾
Cloud rental prices for both the MI250X and RTX 5000 Ada 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 5000 Ada?▾
The MI250X has 128 GB of HBM2e memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find MI250X and RTX 5000 Ada 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 5000 Ada?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX 5000 Ada uses Ada Lovelace (2023). The MI250X delivers 5.9x the FP16 throughput and 5.7x the memory bandwidth of the RTX 5000 Ada.