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's FP16 performance reaches 1307 TFLOPS, enabling efficient training of large language models with billions of parameters, while the RTX 5070 Ti's 40.6 TFLOPS limits it to smaller models or inference on modest scales. In FP32, the MI300X provides 163 TFLOPS for scientific simulations, doubling the RTX 5070 Ti's 40.6 TFLOPS and supporting more complex floating-point computations. Memory differences are profound: 192 GB HBM3 on the MI300X accommodates massive batch sizes in training without out-of-memory errors, whereas 12 GB GDDR7 on the RTX 5070 Ti restricts workloads to smaller batches. Bandwidth of 5300 GB/s on the MI300X facilitates rapid data movement for high-throughput inference, contrasting the RTX 5070 Ti's 448 GB/s which bottlenecks large dataset processing. FP8 capability at 2614 TFLOPS on the MI300X further accelerates quantized inference tasks common in deployment.
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
Opt for the MI300X in large-scale AI training and inference scenarios, where 192 GB HBM3 VRAM handles models exceeding 70 billion parameters without multi-GPU scaling. Its 1307 TFLOPS FP16 and 5300 GB/s bandwidth excel in high-batch scientific computing or HPC simulations on cloud instances. The 750W TDP suits data center racks optimized for sustained enterprise loads.
When to Choose the RTX 5070 Ti
Choose the RTX 5070 Ti for cost-sensitive gaming, content creation, or lightweight AI tasks like Stable Diffusion generation, leveraging its 250W TDP for efficient desktop or small cloud deployments. At $0.10 per hour starting price, it fits prosumer inference on models under 7 billion parameters with 12 GB GDDR7. PCIe form factor enables easy integration in consumer-grade virtual machines.
Use Cases
The MI300X's 192 GB HBM3 VRAM supports training models over 100 billion parameters in single-GPU setups. RTX 5070 Ti's 12 GB GDDR7 causes out-of-memory issues for large batches.
MI300X FP8 performance of 2614 TFLOPS enables high-throughput serving of massive models. RTX 5070 Ti's 40.6 TFLOPS FP16 suits only small-scale inference.
192 GB VRAM on MI300X handles full-parameter fine-tuning on large datasets without sharding. 12 GB on RTX 5070 Ti limits to parameter-efficient methods.
RTX 5070 Ti's Blackwell architecture and 448 GB/s bandwidth optimize real-time image generation at low $0.10 per hour cost. MI300X overkill for consumer creative tasks.
MI300X FP32 of 163 TFLOPS accelerates simulations with large datasets via 5300 GB/s bandwidth. RTX 5070 Ti's matching 40.6 TFLOPS falls short for HPC-scale problems.
Frequently Asked Questions
What is the VRAM difference between MI300X and RTX 5070 Ti?▾
The MI300X features 192 GB HBM3 VRAM, enabling massive model handling. The RTX 5070 Ti has 12 GB GDDR7, suitable for smaller workloads. This 16x gap defines their use in training versus gaming.
How do FP16 performances compare?▾
MI300X delivers 1307 TFLOPS in FP16 for AI training dominance. RTX 5070 Ti offers 40.6 TFLOPS, over 32 times less, fitting light inference. Bandwidth follows suit at 5300 GB/s versus 448 GB/s.
What are the cloud rental prices?▾
MI300X starts at $0.50 per hour, averaging $2.63 across nine offers. RTX 5070 Ti begins at $0.10 per hour, averaging $0.19 across two offers. Cost reflects enterprise versus consumer focus.
Which has higher power consumption?▾
MI300X TDP is 750W for data center endurance. RTX 5070 Ti uses 250W, ideal for efficient prosumer setups. This impacts cooling and instance costs in clouds.
Can RTX 5070 Ti handle LLM inference?▾
RTX 5070 Ti manages inference for models up to 7 billion parameters with 12 GB VRAM. Larger models require MI300X's 192 GB and 2614 TFLOPS FP8. Batch sizes stay small on RTX.
What architectures power these GPUs?▾
MI300X uses CDNA 3 from 2023 for compute optimization. RTX 5070 Ti employs Blackwell from 2025 for gaming and ray tracing. Interconnects differ: Infinity Fabric and PCIe 5.0 on MI300X.
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.