Specifications Compared
| Spec | MI355X | RTX-4070 |
|---|---|---|
| TDP | 750W | 200W |
| VRAM | 288 GB | 12 GB |
| Memory Type | HBM3e | GDDR6X |
| Architecture | CDNA 4 | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP8 Performance | 4,600 TFLOPS | |
| FP16 Performance | 2,300 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 2300 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 72 TFLOPS | |
| INT8 Performance | 4,600 TOPS | 466 TOPS |
| Memory Bandwidth | 8,000 GB/s | 504 GB/s |
Performance Analysis
Compute performance defines the core disparity: the MI355X delivers 2300 TFLOPS in both FP16 and FP32, enabling rapid AI model training and high-precision scientific simulations, while the RTX 4070 SUPER manages 35.5 TFLOPS in each, suitable for smaller-scale operations. This 65-fold gap in FP16/FP32 throughput translates to the MI355X handling large batch sizes in training without precision loss, as FP16 matches FP32 capabilities on both but scales vastly higher on the AMD chip. Memory specs amplify this: 288 GB HBM3e at 8000 GB/s on the MI355X supports enormous models and datasets, preventing out-of-memory errors in LLM training, whereas 12 GB GDDR6X at 504 GB/s on the RTX 4070 SUPER limits batch sizes to small values, ideal for inference on compact models. Bandwidth dominance allows the MI355X to sustain peak FLOPS longer in memory-bound tasks like diffusion models.
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 MI355X
Enterprises running large-scale AI training select the MI355X: its 288 GB HBM3e VRAM accommodates full-parameter fine-tuning of models exceeding 100B parameters, impossible on 12 GB setups. HPC clusters benefit from 2300 TFLOPS FP32 and Infinity Fabric interconnect for multi-GPU scaling at 8000 GB/s bandwidth. High TDP of 750W suits cloud data centers optimized for density.
When to Choose the RTX 4070 SUPER
Budget-conscious developers prefer the RTX 4070 SUPER for desktop prototyping: 35.5 TFLOPS FP16 suffices for fine-tuning small LLMs or Stable Diffusion with 12 GB VRAM. Low 220W TDP enables efficient single-user workstations via PCIe form factor, avoiding datacenter overhead. Gamers leverage Ada Lovelace for hybrid compute-gaming workflows.
Use Cases
The MI355X's 288 GB HBM3e VRAM and 2300 TFLOPS FP16 handle massive datasets and parameters without splitting, unlike the RTX 4070 SUPER's 12 GB limit.
High 8000 GB/s bandwidth and 4600 TFLOPS FP8 on the MI355X support low-latency serving of large models; the RTX 4070 SUPER suits only small models with 504 GB/s.
MI355X excels with 2300 TFLOPS FP32 for parameter-efficient tuning on huge models; RTX 4070 SUPER's 35.5 TFLOPS restricts to LoRA on modest sizes.
RTX 4070 SUPER's 35.5 TFLOPS FP16 and Ada architecture optimize image generation at consumer scale; MI355X overkill for single-user creative tasks.
MI355X's 2300 TFLOPS FP32 and Infinity Fabric enable parallel simulations; RTX 4070 SUPER's 220W TDP limits sustained high-precision runs.
Frequently Asked Questions
Which GPU has more VRAM, MI355X or RTX 4070 SUPER?▾
The MI355X provides 288 GB HBM3e VRAM, far exceeding the RTX 4070 SUPER's 12 GB GDDR6X. This enables handling larger AI models on the MI355X. Bandwidth follows suit at 8000 GB/s versus 504 GB/s.
How do FP16 performance levels compare?▾
MI355X achieves 2300 TFLOPS FP16, while RTX 4070 SUPER reaches 35.5 TFLOPS. The difference suits datacenter training on MI355X over consumer inference. FP32 matches at those rates for both.
What is the TDP difference between MI355X and RTX 4070 SUPER?▾
MI355X draws 750W TDP for peak datacenter performance, compared to 220W on RTX 4070 SUPER. Lower power aids desktop efficiency on the NVIDIA card. Form factors differ: OAM versus PCIe.
Can RTX 4070 SUPER handle LLM training?▾
RTX 4070 SUPER's 12 GB VRAM limits it to small LLMs with techniques like QLoRA at 35.5 TFLOPS FP16. MI355X with 288 GB supports full training. Use SUPER for prototyping only.
Which has higher memory bandwidth?▾
MI355X offers 8000 GB/s with HBM3e, vastly above RTX 4070 SUPER's 504 GB/s GDDR6X. This impacts batch sizes in memory-intensive tasks. MI355X scales better for AI pipelines.
Are there live pricing offers for these GPUs?▾
No live offers exist currently for either MI355X or RTX 4070 SUPER on gpuperhour.com. Check back for cloud availability updates. Specs position MI355X for enterprise, SUPER for entry-level.
Which is cheaper to rent, the MI355X or the RTX 4070?▾
Cloud rental prices for both the MI355X 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 MI355X have compared to the RTX 4070?▾
The MI355X has 288 GB of HBM3e memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find MI355X 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 MI355X and the RTX 4070?▾
The MI355X uses the CDNA 4 architecture (2025) while the RTX 4070 uses Ada Lovelace (2023). The MI355X delivers 79.0x the FP16 throughput and 15.9x the memory bandwidth of the RTX 4070.