Specifications Compared
| Spec | RTX-4080 | RTX-5060 |
|---|---|---|
| TDP | 320W | 180W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 9,728 | 4,608 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 144 |
| FP16 Performance | 48.7 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 23.1 TFLOPS |
| INT8 Performance | 780 TOPS | 370 TOPS |
| Memory Bandwidth | 717 GB/s | 448 GB/s |
Performance Analysis
The RTX 4080's 48.7 TFLOPS in FP16 and FP32 exceeds the RTX 5060 Ti's 23.1 TFLOPS by over 110 percent, accelerating model training and inference significantly. Equal FP16 to FP32 ratios on both GPUs indicate strong half-precision support for modern AI tasks, where training benefits from doubled compute speed on the RTX 4080 for faster epochs on large datasets.
Memory bandwidth presents a clear gap: 717 GB/s on the RTX 4080 versus 448 GB/s on the RTX 5060 Ti enables larger batch sizes without bottlenecks, crucial for training stability and throughput. The RTX 4080's 16 GB VRAM handles bigger models than the 12 GB on the RTX 5060 Ti, reducing out-of-memory errors in inference with high-resolution inputs. Lower 180W TDP on the RTX 5060 Ti lowers operational costs in power-sensitive setups, though its reduced specs limit scalability for intensive workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
RTX 5060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 2×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 63GB RAM 1345GB Storage | Maryland | $0.27/GPU/hr $0.53/hr total (2×) | Available |
When to Choose the RTX 4080
The RTX 4080 stands out for high-performance demands like large-scale LLM training. Its 48.7 TFLOPS compute and 16 GB VRAM manage extensive datasets and models that exceed the RTX 5060 Ti's 12 GB capacity, ensuring efficient processing at 717 GB/s bandwidth.
When to Choose the RTX 5060 Ti
Select the RTX 5060 Ti for cost-effective inference or light fine-tuning. Average pricing of $0.15 per hour versus $0.26 per hour, combined with 180W TDP, suits prolonged low-to-medium workloads where 23.1 TFLOPS suffices without excessive power draw.
Use Cases
RTX 4080's 48.7 TFLOPS and 16 GB VRAM enable larger batches and models compared to RTX 5060 Ti's 23.1 TFLOPS and 12 GB.
RTX 5060 Ti offers sufficient 23.1 TFLOPS at lower $0.15/hr average cost for batch inference, but RTX 4080's higher bandwidth speeds peak loads.
Higher 48.7 TFLOPS on RTX 4080 accelerates iterations on datasets needing 16 GB VRAM over RTX 5060 Ti's limits.
RTX 4080's 717 GB/s bandwidth and 16 GB VRAM handle high-resolution image generation faster than RTX 5060 Ti's 448 GB/s and 12 GB.
RTX 5060 Ti's 180W TDP and Blackwell architecture provide efficient 23.1 TFLOPS for simulations at lower power and $0.15/hr cost.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4080 provides 16 GB GDDR6X VRAM, exceeding the RTX 5060 Ti's 12 GB GDDR7. This advantage supports larger models in training. Bandwidth follows suit at 717 GB/s versus 448 GB/s.
What are the current cloud prices?▾
RTX 4080 rentals start at $0.11 per hour, averaging $0.26 per hour across five offers. RTX 5060 Ti begins at $0.07 per hour, averaging $0.15 per hour across ten offers. Prices reflect real-time market data.
Which has higher compute performance?▾
RTX 4080 delivers 48.7 TFLOPS in FP16 and FP32, over twice the RTX 5060 Ti's 23.1 TFLOPS. This impacts training speed directly. Both maintain equal FP16 to FP32 ratios.
What is the power consumption difference?▾
RTX 4080 requires 320W TDP, while RTX 5060 Ti uses 180W. Lower TDP reduces cloud energy costs for RTX 5060 Ti. Both fit PCIe form factors.
Which architecture is newer?▾
RTX 5060 Ti uses Blackwell from 2025, succeeding RTX 4080's Ada Lovelace from 2022. Newer design may offer efficiency gains. Performance specs favor RTX 4080 overall.
Is RTX 4080 better for AI training?▾
Yes, RTX 4080's 48.7 TFLOPS and 16 GB VRAM outperform RTX 5060 Ti for AI training. It handles larger batches via 717 GB/s bandwidth. RTX 5060 Ti suits lighter tasks.
Which is cheaper to rent, the RTX 4080 or the RTX 5060?▾
Cloud rental prices for both the RTX 4080 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 RTX 4080 have compared to the RTX 5060?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find RTX 4080 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 RTX 4080 and the RTX 5060?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 5060 uses Blackwell (2025). The RTX 4080 delivers 2.1x the FP16 throughput and 1.6x the memory bandwidth of the RTX 5060.