Specifications Compared
| Spec | MI300X | RTX-5070 |
|---|---|---|
| TDP | 750W | 250W |
| VRAM | 192 GB | 12 GB |
| Memory Type | HBM3 | GDDR7 |
| Architecture | CDNA 3 | Blackwell |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric, PCIe 5.0 | |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 163 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | |
| INT8 Performance | 2,614 TOPS | 650 TOPS |
| Memory Bandwidth | 5,300 GB/s | 448 GB/s |
Performance Analysis
The MI300X dominates in raw compute: its 1307 TFLOPS FP16 vastly exceeds the RTX 5070's 40.6 TFLOPS, enabling faster training of large models. The FP16 to FP32 ratio highlights this: MI300X offers 1307 TFLOPS FP16 versus 163 TFLOPS FP32, ideal for mixed-precision training, while RTX 5070 balances at 40.6 TFLOPS each, suiting general-purpose tasks but limiting scale.
Memory specs define real-world impact: MI300X's 192 GB HBM3 and 5300 GB/s bandwidth support massive batch sizes in LLM training, preventing out-of-memory errors common with RTX 5070's 12 GB GDDR7 and 448 GB/s. For inference, MI300X's FP8 at 2614 TFLOPS accelerates high-throughput serving, whereas RTX 5070 handles smaller batches efficiently.
Power efficiency varies: MI300X's 750W TDP demands robust cooling for sustained 163 TFLOPS FP32, contrasting RTX 5070's 250W for cost-effective 40.6 TFLOPS runs.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
MI300X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | AMD Instinct MI300X 192GB VRAM | 192GB | 24 vCPU 256GB RAM | 🌍global | $1.99/GPU/hr | |||
 Hot Aisle | AMD Instinct MI300X 192GB VRAM | 192GB | 8 vCPU 224GB RAM 12288GB Storage | Michigan | $1.99/GPU/hr | Available | ||
 Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.08/GPU/hr $24.64/hr total (8×) | |||
 Crusoe | AMD Instinct MI300X 192GB VRAM | 192GB | 0 vCPU 0GB RAM | United States | $3.45/GPU/hr | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.47/GPU/hr $27.76/hr total (8×) |
When to Choose the MI300X
Choose the MI300X for large-scale AI training or inference where 192 GB HBM3 VRAM fits models exceeding 12 GB. Its 5300 GB/s bandwidth enables batch sizes impossible on RTX 5070, reducing training time via 1307 TFLOPS FP16. Datacenter setups benefit from Infinity Fabric and PCIe 5.0 interconnects at $0.50/hr starting price.
When to Choose the RTX 5070
Opt for the RTX 5070 in cost-sensitive scenarios like prototyping or gaming with inference, where 12 GB GDDR7 suffices at $0.08/hr. Its 250W TDP fits edge deployments, delivering 40.6 TFLOPS FP16 for Stable Diffusion or fine-tuning small models without MI300X's overhead.
Use Cases
MI300X's 192 GB HBM3 and 1307 TFLOPS FP16 handle massive datasets and large batches, far beyond RTX 5070's 12 GB VRAM.
With 2614 TFLOPS FP8 and 5300 GB/s bandwidth, MI300X supports high-throughput serving of large models unavailable on RTX 5070.
RTX 5070's 40.6 TFLOPS FP16 suffices for small models at low cost; MI300X excels for parameter-heavy fine-tuning with 192 GB VRAM.
RTX 5070's 12 GB GDDR7 and 40.6 TFLOPS FP16 generate images efficiently at $0.08/hr, matching consumer needs without MI300X excess.
MI300X's 163 TFLOPS FP32 and PCIe 5.0 suit HPC simulations requiring high precision and memory, outperforming RTX 5070's balanced 40.6 TFLOPS.
Frequently Asked Questions
Which has more VRAM: MI300X or RTX 5070?▾
The MI300X provides 192 GB HBM3 VRAM, dwarfing the RTX 5070's 12 GB GDDR7. This enables MI300X to load much larger AI models without swapping.
What is the FP16 performance difference?▾
MI300X delivers 1307 TFLOPS FP16, over 32 times the RTX 5070's 40.6 TFLOPS. This gap accelerates deep learning training significantly.
How do cloud prices compare?▾
RTX 5070 starts at $0.08/hr (average $0.17/hr across 4 offers), versus MI300X at $0.50/hr (average $2.63/hr across 9 offers). RTX 5070 suits budget tasks.
Is MI300X better for inference?▾
Yes, MI300X's 2614 TFLOPS FP8 and 5300 GB/s bandwidth enable high-volume LLM inference. RTX 5070's 448 GB/s limits it to smaller scales.
What are the power requirements?▾
MI300X demands 750W TDP for datacenter use, while RTX 5070 uses 250W for efficient desktop operation. Choose based on infrastructure.
Which architecture is newer?▾
RTX 5070 uses 2025 Blackwell architecture; MI300X employs 2023 CDNA 3. Newer design aids RTX 5070 in gaming features.
Which is cheaper to rent, the MI300X or the RTX 5070?▾
Cloud rental prices for both the MI300X and RTX 5070 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 MI300X have compared to the RTX 5070?▾
The MI300X has 192 GB of HBM3 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find MI300X and RTX 5070 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 MI300X and the RTX 5070?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 5070 uses Blackwell (2025). The MI300X delivers 32.2x the FP16 throughput and 11.8x the memory bandwidth of the RTX 5070.