Specifications Compared
| Spec | MI250X | RTX-4500-ADA |
|---|---|---|
| TDP | 560W | 210W |
| VRAM | 128 GB | 24 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 383 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 383 TFLOPS | 39.6 TFLOPS |
| FP64 Performance | 48 TFLOPS | |
| Memory Bandwidth | 3,277 GB/s | 432 GB/s |
Performance Analysis
Raw compute power sets the MI250X apart: its 383 TFLOPS in FP16 and FP32 enables training deep learning models 9.7 times faster than the RTX 4500 Ada's 39.6 TFLOPS, reducing epoch times in large-scale neural network optimization. For inference, this delta supports higher throughput on memory-intensive models, where FP16 precision accelerates batched predictions without accuracy loss.
Memory specifications profoundly impact workloads: MI250X's 128 GB HBM2e and 3277 GB/s bandwidth accommodate massive batch sizes for training LLMs exceeding 24 GB requirements, preventing out-of-memory errors common on RTX 4500 Ada. Lower bandwidth of 432 GB/s on RTX 4500 Ada constrains data movement, limiting effective batch sizes in bandwidth-bound tasks like transformer inference.
Power and form factor considerations follow: MI250X's 560W TDP suits air-cooled data centers with Infinity Fabric interconnects for multi-GPU scaling, while RTX 4500 Ada's 210W and PCIe design fit edge or single-node workstations. These traits translate to MI250X excelling in sustained high-utilization runs, versus RTX 4500 Ada's efficiency for intermittent professional rendering.
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 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the MI250X
The MI250X excels in large-scale AI training and scientific simulations requiring extensive memory: its 128 GB HBM2e handles models like 175B-parameter LLMs, where 24 GB on RTX 4500 Ada fails. High 3277 GB/s bandwidth supports enormous batch sizes, accelerating convergence in distributed training across Infinity Fabric-linked nodes.
Deploy MI250X for HPC clusters despite $1.28 per hour pricing, as 383 TFLOPS FP32 throughput justifies costs in FP-intensive fluid dynamics or genomics.
When to Choose the RTX 4500 Ada
Opt for RTX 4500 Ada in budget-conscious workstations or small-scale inference: at $0.34 per hour, it delivers 39.6 TFLOPS FP16 for models under 24 GB VRAM, like fine-tuning 7B LLMs. Lower 210W TDP enables deployment in power-limited environments without specialized cooling.
RTX 4500 Ada's PCIe form factor suits single-GPU creative workflows, such as Stable Diffusion generation, where Ada Lovelace efficiencies outperform older CDNA 2 in lightly parallel tasks.
Use Cases
MI250X's 383 TFLOPS FP16 and 128 GB HBM2e support training models over 70B parameters with large batches. RTX 4500 Ada's 24 GB VRAM restricts scale.
3277 GB/s bandwidth on MI250X enables high-throughput batched inference for production LLMs. RTX 4500 Ada's 432 GB/s bottlenecks large deployments.
Smaller models fit RTX 4500 Ada's 24 GB VRAM at 39.6 TFLOPS for cost savings. MI250X accelerates with 128 GB for parameter-efficient methods.
RTX 4500 Ada's Ada Lovelace optimizations and $0.34 per hour pricing suit image generation under 24 GB. MI250X overkill at 560W TDP.
MI250X's 383 TFLOPS FP32 and Infinity Fabric excel in simulations like molecular dynamics. RTX 4500 Ada's lower specs limit precision workloads.
Frequently Asked Questions
Which GPU has more VRAM?▾
MI250X provides 128 GB HBM2e, far exceeding RTX 4500 Ada's 24 GB GDDR6. This enables larger models on MI250X without swapping.
How do compute performances compare?▾
MI250X achieves 383 TFLOPS in FP16 and FP32, about 9.7 times RTX 4500 Ada's 39.6 TFLOPS per precision. Training speeds scale accordingly.
What are the cloud rental prices?▾
MI250X starts at $1.28 per hour with $1.46 average across 4 offers. RTX 4500 Ada begins at $0.34 per hour, averaging $0.51 across 3 offers.
Which is better for large model training?▾
MI250X dominates with 128 GB VRAM and 3277 GB/s bandwidth for batch sizes impossible on RTX 4500 Ada's 24 GB and 432 GB/s.
How do power draws differ?▾
MI250X consumes 560W TDP for dense compute, versus RTX 4500 Ada's efficient 210W. Choose based on cooling and energy budgets.
What architectures do they use?▾
MI250X employs CDNA 2 from 2021 for HPC. RTX 4500 Ada uses Ada Lovelace from 2023, optimized for professional graphics and AI.
Which is cheaper to rent, the MI250X or the RTX 4500 Ada?▾
Cloud rental prices for both the MI250X and RTX 4500 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 4500 Ada?▾
The MI250X has 128 GB of HBM2e memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find MI250X and RTX 4500 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 4500 Ada?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX 4500 Ada uses Ada Lovelace (2023). The MI250X delivers 9.7x the FP16 throughput and 7.6x the memory bandwidth of the RTX 4500 Ada.