Specifications Compared
| Spec | MI300X | RTX-5060 |
|---|---|---|
| TDP | 750W | 180W |
| 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 | 23.1 TFLOPS |
| FP32 Performance | 163 TFLOPS | 23.1 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | |
| INT8 Performance | 2,614 TOPS | 370 TOPS |
| Memory Bandwidth | 5,300 GB/s | 448 GB/s |
Performance Analysis
The FP16 to FP32 performance ratio reveals key strengths: MI300X achieves 1307 TFLOPS FP16 against 163 TFLOPS FP32, optimizing it for AI training where lower precision accelerates mixed-precision workflows. RTX 5060 Ti balances at 23.1 TFLOPS for both, suiting inference or graphics rendering that relies on FP32. This delta means MI300X handles large model training 8 times faster in FP16-dominated tasks, while RTX 5060 Ti performs adequately for smaller-scale or gaming inference. Memory specifications dominate real-world impacts: MI300X's 5300 GB/s bandwidth and 192 GB VRAM enable batch sizes for billion-parameter LLMs that exceed RTX 5060 Ti's 448 GB/s and 12 GB limits. Consequentially, MI300X supports enterprise training without model sharding, but RTX 5060 Ti fits prototyping where memory constraints force smaller batches or quantization.
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×) |
RTX 5060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 126GB RAM 2690GB Storage | Maryland | $0.27/GPU/hr $1.07/hr total (4×) | Available |
When to Choose the MI300X
Select the MI300X for large-scale AI training or inference: its 192 GB HBM3 VRAM accommodates full precision for models over 100 billion parameters, impossible on 12 GB GDDR7. The 5300 GB/s bandwidth sustains high throughput in distributed setups via Infinity Fabric, ideal for data centers despite 750W TDP.
When to Choose the RTX 5060 Ti
Opt for RTX 5060 Ti in cost-sensitive prototyping or gaming: pricing from $0.07/hr enables affordable experimentation, with 180W TDP suiting edge deployments. Its 23.1 TFLOPS FP32 matches consumer tasks like real-time rendering where massive VRAM proves unnecessary.
Use Cases
MI300X's 1307 TFLOPS FP16 and 192 GB VRAM support massive batch sizes for billion-parameter models. RTX 5060 Ti's 12 GB limits scale severely.
MI300X FP8 at 2614 TFLOPS and 5300 GB/s bandwidth enable high-throughput serving. RTX 5060 Ti's 23.1 TFLOPS FP16 suits only small models.
192 GB HBM3 handles large datasets without offloading, leveraging 163 TFLOPS FP32. 12 GB GDDR7 on RTX 5060 Ti requires heavy quantization.
RTX 5060 Ti's balanced 23.1 TFLOPS and low $0.07/hr pricing fit image generation efficiently. MI300X overkill for consumer-scale diffusion.
MI300X 163 TFLOPS FP32 and PCIe 5.0 excel in simulations needing high memory. RTX 5060 Ti's 23.1 TFLOPS proves inadequate for large grids.
Frequently Asked Questions
What is the VRAM difference between MI300X and RTX 5060 Ti?▾
MI300X offers 192 GB HBM3 VRAM, dwarfing RTX 5060 Ti's 12 GB GDDR7. This enables MI300X to load massive AI models fully, while RTX 5060 Ti requires sharding or quantization.
How do memory bandwidths compare?▾
MI300X provides 5300 GB/s, over 11 times RTX 5060 Ti's 448 GB/s. Higher bandwidth on MI300X accelerates data movement for large-batch training.
What are the cloud pricing ranges?▾
MI300X starts at $0.50/hr with $2.63/hr average across 9 offers. RTX 5060 Ti begins at $0.07/hr averaging $0.15/hr over 10 offers.
Which GPU has higher FP16 performance?▾
MI300X delivers 1307 TFLOPS FP16, vastly exceeding RTX 5060 Ti's 23.1 TFLOPS. This gap favors MI300X in AI acceleration.
What are the TDP ratings?▾
MI300X consumes 750W TDP for datacenter power. RTX 5060 Ti uses 180W, better for low-power consumer setups.
Which architecture do they use?▾
MI300X employs CDNA 3 from 2023 for AI. RTX 5060 Ti uses Blackwell from 2025 for gaming and compute.
Which is cheaper to rent, the MI300X or the RTX 5060?▾
Cloud rental prices for both the MI300X and RTX 5060 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 5060?▾
The MI300X has 192 GB of HBM3 memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find MI300X and RTX 5060 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 5060?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 5060 uses Blackwell (2025). The MI300X delivers 56.6x the FP16 throughput and 11.8x the memory bandwidth of the RTX 5060.