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 SUPER's 48.7 TFLOPS in FP16 and FP32 exceeds the RTX 5060's 23.1 TFLOPS by more than double, enabling faster model training and inference times in AI pipelines. Equal FP16 and FP32 rates on both GPUs support mixed-precision workflows without performance penalties, but the RTX 4080 SUPER processes computations at higher throughput for large-scale tasks. Memory bandwidth of 717 GB/s on the RTX 4080 SUPER versus 448 GB/s on the RTX 5060 allows larger batch sizes in training, reducing iteration times for datasets exceeding 12 GB VRAM capacity. The RTX 4080 SUPER's 16 GB VRAM handles bigger models or higher resolutions than the RTX 5060's 12 GB, minimizing out-of-memory errors in inference. Lower TDP of 180W on the RTX 5060 suits dense deployments, though its reduced specs limit peak performance.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080 SUPER
| 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
| 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 SUPER
Opt for the RTX 4080 SUPER in scenarios demanding maximum compute power, such as training large language models requiring 48.7 TFLOPS FP32 performance and 16 GB VRAM for extensive datasets. Its 717 GB/s bandwidth supports high-batch training without bottlenecks, and immediate availability at $0.17 per hour makes it ideal for production workloads. High TDP of 320W fits dedicated cloud instances prioritizing speed over efficiency.
When to Choose the RTX 5060
Select the RTX 5060 for power-sensitive applications like edge inference or multi-GPU clusters, where 180W TDP reduces cooling costs compared to 320W. Blackwell architecture promises advancements over Ada Lovelace, suiting forward-looking projects despite 12 GB VRAM and 448 GB/s bandwidth limits. Absence of live pricing indicates suitability for future deployments emphasizing efficiency.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS FP16 and 16 GB VRAM handle larger models and batches better than RTX 5060's 23.1 TFLOPS and 12 GB.
Higher 717 GB/s bandwidth and 48.7 TFLOPS on RTX 4080 SUPER deliver faster query responses for high-throughput serving over RTX 5060.
Both offer matched FP16/FP32 rates, but RTX 4080 SUPER suits larger datasets with 16 GB VRAM while RTX 5060 fits smaller tasks at 180W TDP.
RTX 4080 SUPER's superior 48.7 TFLOPS and bandwidth accelerate image generation at high resolutions beyond RTX 5060 capabilities.
RTX 5060's lower 180W TDP and newer Blackwell architecture optimize for sustained simulations in power-limited clusters.
Frequently Asked Questions
Which GPU has higher performance: RTX 4080 SUPER or RTX 5060?▾
RTX 4080 SUPER leads with 48.7 TFLOPS in FP16 and FP32, compared to RTX 5060's 23.1 TFLOPS. This gap translates to roughly twice the compute speed for AI tasks. Memory bandwidth of 717 GB/s further advantages RTX 4080 SUPER.
What is the VRAM difference between RTX 4080 SUPER and RTX 5060?▾
RTX 4080 SUPER provides 16 GB GDDR6X, exceeding RTX 5060's 12 GB GDDR7. Larger VRAM supports bigger models in training. Bandwidth reaches 717 GB/s on RTX 4080 SUPER versus 448 GB/s.
How do power consumptions compare?▾
RTX 4080 SUPER requires 320W TDP, while RTX 5060 uses 180W. Lower power suits efficient deployments. This affects cloud instance selection.
Is RTX 5060 available in cloud pricing?▾
No live offers exist for RTX 5060 currently. RTX 4080 SUPER starts at $0.17 per hour, averaging $0.32 per hour across three providers.
Which architecture is newer?▾
RTX 5060 uses Blackwell from 2025, succeeding RTX 4080 SUPER's Ada Lovelace of 2022. Newer design may offer efficiency gains. Specs show RTX 4080 SUPER's current superiority.
Can RTX 5060 handle large batch training?▾
RTX 5060's 448 GB/s bandwidth and 12 GB VRAM limit large batches compared to RTX 4080 SUPER's 717 GB/s and 16 GB. Smaller batches fit better.
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.