Specifications Compared
| Spec | MI355X | RTX-4060 |
|---|---|---|
| TDP | 750W | 115W |
| VRAM | 288 GB | 8 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | CDNA 4 | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | |
| FP8 Performance | 4,600 TFLOPS | |
| FP16 Performance | 2,300 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 2300 TFLOPS | 15.1 TFLOPS |
| FP64 Performance | 72 TFLOPS | |
| INT8 Performance | 4,600 TOPS | 242 TOPS |
| Memory Bandwidth | 8,000 GB/s | 272 GB/s |
Performance Analysis
The MI355X vastly outpaces the RTX 4060 Ti in compute: its 2300 TFLOPS FP16 and FP32 enable training massive models that the RTX 4060 Ti's 15.1 TFLOPS cannot handle efficiently. Equal FP16 to FP32 ratios on both suggest balanced tensor core utilization, but the MI355X's FP8 at 4600 TFLOPS accelerates inference for quantized models by orders of magnitude. Memory defines real-world limits: 288 GB HBM3e versus 8 GB GDDR6 allows MI355X batch sizes thousands of times larger during training, preventing out-of-memory errors on large language models. The 8000 GB/s bandwidth on MI355X supports rapid data movement for scientific simulations, while 272 GB/s on RTX 4060 Ti suits smaller inference runs. Power draw amplifies this: 750W sustains MI355X peaks, but 115W keeps RTX 4060 Ti viable for edge deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the MI355X
Choose the MI355X for large-scale AI training or HPC workloads requiring immense VRAM and bandwidth: its 288 GB HBM3e handles models exceeding 100 billion parameters, enabling full fine-tuning without sharding. Infinity Fabric interconnect scales multi-GPU clusters effectively for distributed training. Users in research or enterprise needing 2300 TFLOPS FP16 will find it indispensable despite 750W TDP.
When to Choose the RTX 4060 Ti
Opt for the RTX 4060 Ti in budget-conscious gaming, prototyping, or low-power inference: its PCIe form factor and 115W TDP integrate easily into desktops or small servers at $0.08 per hour cloud rates. 8 GB GDDR6 suffices for Stable Diffusion or small LLMs up to 7 billion parameters. Efficiency trumps raw power for developers testing ideas quickly.
Use Cases
MI355X's 288 GB VRAM and 2300 TFLOPS FP16 support massive batch sizes for billion-parameter models. RTX 4060 Ti's 8 GB limits it to toy datasets.
4600 TFLOPS FP8 and 8000 GB/s bandwidth on MI355X serve high-throughput quantized inference. RTX 4060 Ti handles only small models at 15.1 TFLOPS.
Huge 288 GB HBM3e prevents memory bottlenecks during PEFT on large LLMs. RTX 4060 Ti's 8 GB GDDR6 restricts to micro-tuning.
RTX 4060 Ti's Ada Lovelace excels in consumer image gen at 15.1 TFLOPS with low 115W power. MI355X overkill for single-user creative tasks.
MI355X's 2300 TFLOPS FP32 and Infinity Fabric scale simulations perfectly. RTX 4060 Ti's 15.1 TFLOPS suits basic analysis only.
Frequently Asked Questions
How much more VRAM does the MI355X have than the RTX 4060 Ti?▾
The MI355X provides 288 GB HBM3e VRAM, 36 times the RTX 4060 Ti's 8 GB GDDR6. This gap allows MI355X to load enormous datasets or models in one go. RTX 4060 Ti requires heavy optimization for memory-intensive tasks.
What is the FP16 performance difference between MI355X and RTX 4060 Ti?▾
MI355X achieves 2300 TFLOPS FP16, over 152 times the RTX 4060 Ti's 15.1 TFLOPS. This translates to dramatically faster AI training on MI355X. Consumer tasks remain feasible on RTX 4060 Ti.
Which GPU has higher memory bandwidth?▾
MI355X offers 8000 GB/s, nearly 29 times the RTX 4060 Ti's 272 GB/s. Higher bandwidth reduces bottlenecks in data-heavy workloads like inference. RTX 4060 Ti suffices for gaming or small batches.
What are the TDPs of these GPUs?▾
MI355X consumes 750W for datacenter peaks, while RTX 4060 Ti uses 115W for efficiency. Lower TDP makes RTX 4060 Ti ideal for laptops or low-cost clouds. MI355X demands robust cooling.
Is there cloud pricing for these GPUs?▾
RTX 4060 Ti starts at $0.08 per hour, averaging $0.14 across 6 offers. MI355X has no live offers currently. Pricing favors RTX 4060 Ti for accessible experimentation.
What architectures power these GPUs?▾
MI355X uses CDNA 4 from 2025 for AI/HPC, RTX 4060 Ti employs Ada Lovelace from 2023 for gaming. CDNA 4 optimizes tensor operations at 2300 TFLOPS FP32. Ada Lovelace balances rasterization and compute.
Which is cheaper to rent, the MI355X or the RTX 4060?▾
Cloud rental prices for both the MI355X and RTX 4060 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 4060?▾
The MI355X has 288 GB of HBM3e memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find MI355X and RTX 4060 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 4060?▾
The MI355X uses the CDNA 4 architecture (2025) while the RTX 4060 uses Ada Lovelace (2023). The MI355X delivers 152.3x the FP16 throughput and 29.4x the memory bandwidth of the RTX 4060.