Specifications Compared
| Spec | RTX-3060 | RTX-5000-ADA |
|---|---|---|
| TDP | 170W | 250W |
| VRAM | 12 GB | 32 GB |
| CUDA Cores | 3,584 | 12,800 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 112 | 400 |
| FP16 Performance | 12.7 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 65.3 TFLOPS |
| Memory Bandwidth | 360 GB/s | 576 GB/s |
Performance Analysis
The RTX 5000 Ada's 65.3 TFLOPS in FP16 and FP32 dwarfs the RTX 3060 Ti's 12.7 TFLOPS, enabling up to five times faster matrix operations central to deep learning. This translates to accelerated training epochs and inference queries: a model taking one hour to train on the RTX 3060 Ti could complete in roughly 12 minutes on the RTX 5000 Ada. Memory bandwidth of 576 GB/s on the RTX 5000 Ada versus 360 GB/s on the RTX 3060 Ti supports larger batch sizes without bottlenecks, reducing training time by minimizing data transfer delays. The 32 GB VRAM capacity handles models exceeding 12 GB, preventing out-of-memory errors in LLM fine-tuning or diffusion tasks. Higher TDP at 250W reflects the RTX 5000 Ada's efficiency in sustained high-load scenarios compared to 170W on the RTX 3060 Ti.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
![]() Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 55GB RAM 1940GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
![]() Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 168GB RAM 715GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
![]() Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
RTX 5000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
![]() RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the RTX 3060 Ti
The RTX 3060 Ti suits budget-conscious deployments for lightweight inference or fine-tuning small models under 12 GB VRAM. At $0.03 per hour starting price, it excels in prototyping or high-volume serving where 12.7 TFLOPS suffices and 360 GB/s bandwidth handles modest batches. Cost savings average $0.06 per hour make it ideal for startups testing ideas without premium expenses.
When to Choose the RTX 5000 Ada Generation
Opt for the RTX 5000 Ada when scaling to large models requiring 32 GB VRAM or intensive training with 65.3 TFLOPS compute. Its 576 GB/s bandwidth enables massive batches in LLM development, justifying $0.25 per hour from higher throughput. Professionals prioritize it for production pipelines demanding Ada Lovelace optimizations.
Use Cases
The RTX 5000 Ada's 65.3 TFLOPS and 32 GB VRAM handle large-scale training batches efficiently. The RTX 3060 Ti's 12 GB limits model sizes at 12.7 TFLOPS.
65.3 TFLOPS on RTX 5000 Ada accelerates high-throughput serving for production. RTX 3060 Ti works for small models but bottlenecks at scale with 12.7 TFLOPS.
32 GB VRAM supports parameter-efficient fine-tuning of billion-parameter models on RTX 5000 Ada. RTX 3060 Ti restricts to smaller datasets with 12 GB.
RTX 3060 Ti generates images adequately at 12 GB VRAM for basic use. RTX 5000 Ada's 32 GB excels in high-resolution or batch generation.
576 GB/s bandwidth and 65.3 TFLOPS optimize simulations on RTX 5000 Ada. RTX 3060 Ti's 360 GB/s suits lighter computations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5000 Ada Generation provides 32 GB GDDR6 VRAM. The RTX 3060 Ti offers 12 GB GDDR6. This difference impacts handling of large AI models.
What are the compute performances?▾
RTX 5000 Ada delivers 65.3 TFLOPS in FP16 and FP32. RTX 3060 Ti achieves 12.7 TFLOPS in both. The Ada GPU provides over five times the throughput.
How do cloud prices compare?▾
RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 per hour across two offers. RTX 5000 Ada begins at $0.25 per hour, averaging $0.51 per hour over five offers.
Which has higher memory bandwidth?▾
RTX 5000 Ada features 576 GB/s bandwidth. RTX 3060 Ti has 360 GB/s. Higher bandwidth reduces bottlenecks in data-heavy tasks.
What are the TDPs?▾
RTX 5000 Ada consumes 250W TDP. RTX 3060 Ti uses 170W. Both fit PCIe slots but Ada demands more power for peak performance.
Which architecture is newer?▾
RTX 5000 Ada uses Ada Lovelace from 2023. RTX 3060 Ti relies on Ampere from 2021. Newer architecture brings efficiency gains.
Which is cheaper to rent, the RTX 3060 or the RTX 5000 Ada?▾
Cloud rental prices for both the RTX 3060 and RTX 5000 Ada 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 3060 have compared to the RTX 5000 Ada?▾
The RTX 3060 has 12 GB of GDDR6 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find RTX 3060 and RTX 5000 Ada 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 3060 and the RTX 5000 Ada?▾
The RTX 3060 uses the Ampere architecture (2021) while the RTX 5000 Ada uses Ada Lovelace (2023). The RTX 5000 Ada delivers 5.1x the FP16 throughput and 1.6x the memory bandwidth of the RTX 3060.


