Specifications Compared
| Spec | MI325X | RTX-4070 |
|---|---|---|
| TDP | 750W | 200W |
| VRAM | 256 GB | 12 GB |
| Memory Type | HBM3e | GDDR6X |
| Architecture | CDNA 3 | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 1307 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 40.9 TFLOPS | |
| INT8 Performance | 2,614 TOPS | 466 TOPS |
| Memory Bandwidth | 6,000 GB/s | 504 GB/s |
Performance Analysis
Spec differences translate to vast real-world disparities in AI workloads. The MI325X's 1307 TFLOPS FP16 and FP32 performance enables rapid model training and precision-sensitive scientific simulations, where the RTX 4070 SUPER's 44.1 TFLOPS limits scale. Equal FP16 and FP32 rates on both favor mixed-precision training, but the MI325X's FP8 at 2614 TFLOPS accelerates inference for quantized large language models.
Memory specs dominate batch size capabilities: 6000 GB/s bandwidth and 256 GB VRAM on the MI325X support massive batches in training or inference without swapping, ideal for models exceeding 12 GB. The RTX 4070 SUPER's 504 GB/s and 12 GB VRAM constrain it to smaller models or lower batches, risking bottlenecks in memory-intensive tasks. Higher 750W TDP allows the MI325X sustained peaks, while 220W suits efficient, intermittent consumer use.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the MI325X
Choose the MI325X for large-scale AI training, inference, or HPC where 256 GB HBM3e VRAM handles models like 100B+ parameter LLMs. Its 6000 GB/s bandwidth sustains high throughput on huge batches, and Infinity Fabric enables multi-GPU scaling in OAM form factor clusters. Scenarios include enterprise data centers needing 1307 TFLOPS FP16/FP32 for prolonged runs.
When to Choose the RTX 4070 SUPER
Opt for the RTX 4070 SUPER in gaming, Stable Diffusion, or small-scale fine-tuning with models under 12 GB VRAM. Its 220W TDP and PCIe form factor fit desktops or low-power cloud instances, delivering 44.1 TFLOPS FP16/FP32 efficiently for consumer tasks. Cost-sensitive users benefit from its accessibility over datacenter alternatives.
Use Cases
The MI325X's 256 GB VRAM and 6000 GB/s bandwidth support training massive LLMs with large batches. The RTX 4070 SUPER's 12 GB limits it to tiny models.
MI325X FP8 at 2614 TFLOPS and high bandwidth enable high-throughput serving of large models. RTX 4070 SUPER suits only small-scale inference.
Small models fit RTX 4070 SUPER's 12 GB VRAM at 44.1 TFLOPS. Larger ones require MI325X's 256 GB capacity.
RTX 4070 SUPER excels in consumer image generation with Ada optimizations and lower 220W power. MI325X overkill for single-user tasks.
MI325X 1307 TFLOPS FP32 and Infinity Fabric suit parallel simulations. RTX 4070 SUPER lacks scale for complex HPC.
Frequently Asked Questions
Which GPU has more VRAM: MI325X or RTX 4070 SUPER?▾
The MI325X provides 256 GB HBM3e VRAM, compared to 12 GB GDDR6X on the RTX 4070 SUPER. This enables the MI325X to load much larger models without issues.
How do memory bandwidths compare between MI325X and RTX 4070 SUPER?▾
MI325X offers 6000 GB/s, vastly superior to the RTX 4070 SUPER's 504 GB/s. Higher bandwidth reduces bottlenecks in training and inference.
What are the FP16 performance figures for these GPUs?▾
The MI325X achieves 1307 TFLOPS FP16, while the RTX 4070 SUPER reaches 44.1 TFLOPS. This gap favors MI325X for AI acceleration.
Which has higher power consumption?▾
MI325X TDP is 750W, double the RTX 4070 SUPER's 220W. Datacenter setups handle the MI325X draw for peak performance.
Is RTX 4070 SUPER suitable for large LLM training?▾
No, its 12 GB VRAM restricts it to small models. MI325X with 256 GB excels in such tasks.
What architectures power these GPUs?▾
MI325X uses CDNA 3 from 2024; RTX 4070 SUPER uses Ada Lovelace from 2023. CDNA 3 optimizes for compute-heavy workloads.
Which is cheaper to rent, the MI325X or the RTX 4070?▾
Cloud rental prices for both the MI325X and RTX 4070 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 MI325X have compared to the RTX 4070?▾
The MI325X has 256 GB of HBM3e memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find MI325X and RTX 4070 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 MI325X and the RTX 4070?▾
The MI325X uses the CDNA 3 architecture (2024) while the RTX 4070 uses Ada Lovelace (2023). The MI325X delivers 44.9x the FP16 throughput and 11.9x the memory bandwidth of the RTX 4070.