Specifications Compared
| Spec | RTX-4500-ADA | RTX-5060 |
|---|---|---|
| TDP | 210W | 180W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 7,680 | 4,608 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 240 | 144 |
| FP16 Performance | 39.6 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 39.6 TFLOPS | 23.1 TFLOPS |
| INT8 Performance | 634 TOPS | 370 TOPS |
| Memory Bandwidth | 432 GB/s | 448 GB/s |
Performance Analysis
Compute performance favors the RTX 4500 Ada decisively: its 39.6 TFLOPS in FP16 and FP32 exceeds the RTX 5060's 23.1 TFLOPS by 71 percent. This delta accelerates training phases in machine learning pipelines, where higher FP16 throughput reduces epoch times for large datasets.
VRAM capacity shapes real-world usability. The RTX 4500 Ada's 24 GB supports larger batch sizes in LLM training or fine-tuning, minimizing out-of-memory errors common with the RTX 5060's 12 GB limit. Inference benefits from the RTX 5060's 448 GB/s bandwidth versus 432 GB/s, enabling faster token generation in high-concurrency setups.
Power efficiency tilts toward the RTX 5060 with 180W TDP against 210W, potentially cutting cloud bills in prolonged runs. Blackwell's architectural improvements may yield per-watt gains over Ada Lovelace, optimizing inference latency despite lower peak TFLOPS.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/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 4500 Ada
Choose the RTX 4500 Ada for memory-bound workloads like LLM training or fine-tuning. Its 24 GB GDDR6 VRAM handles models exceeding 12 GB, supporting batch sizes that the RTX 5060 cannot without splitting.
High-compute tasks such as scientific simulations benefit from 39.6 TFLOPS in FP32, a 71 percent lead over the RTX 5060's 23.1 TFLOPS, ensuring faster convergence.
When to Choose the RTX 5060
The RTX 5060 suits cost-sensitive deployments starting at $0.07 per hour. Its average $0.15 rate delivers 23.1 TFLOPS for inference or Stable Diffusion, offering value at one-third the RTX 4500 Ada's $0.51 average.
Newer Blackwell architecture and 448 GB/s bandwidth excel in high-throughput inference, where 12 GB GDDR7 suffices for production-scale serving.
Use Cases
The RTX 4500 Ada's 24 GB VRAM supports larger models and batch sizes critical for training, unlike the RTX 5060's 12 GB limit. Its 39.6 TFLOPS FP16 outperforms the 23.1 TFLOPS for faster epochs.
RTX 5060's $0.07 per hour starting price and 448 GB/s bandwidth enable cost-effective high-volume serving. 12 GB GDDR7 suffices for most inference payloads.
24 GB VRAM on RTX 4500 Ada accommodates full model fine-tuning without quantization, exceeding RTX 5060's 12 GB capacity. Higher 39.6 TFLOPS speeds iterations.
RTX 5060's Blackwell architecture and lower $0.15 average hourly rate optimize image generation workflows. 448 GB/s bandwidth handles texture loading efficiently.
RTX 4500 Ada's 39.6 TFLOPS FP32 provides 71 percent more compute than RTX 5060's 23.1 TFLOPS for simulations. 24 GB VRAM supports complex datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4500 Ada offers 24 GB GDDR6 VRAM, double the RTX 5060's 12 GB GDDR7. This advantage aids memory-intensive tasks like model training. Bandwidth is close, with RTX 5060 at 448 GB/s versus 432 GB/s.
What are the current cloud prices?▾
RTX 4500 Ada starts at $0.34 per hour, averaging $0.51 across three offers. RTX 5060 begins at $0.07 per hour, averaging $0.15 across six offers. The RTX 5060 provides better value for budget runs.
Which has higher performance?▾
RTX 4500 Ada leads with 39.6 TFLOPS in FP16 and FP32, 71 percent above RTX 5060's 23.1 TFLOPS. This suits compute-heavy workloads. RTX 5060 compensates with newer Blackwell architecture.
What are the TDP ratings?▾
RTX 5060 uses 180W TDP, lower than RTX 4500 Ada's 210W. This improves power efficiency in clouds. Both fit PCIe slots without special cooling.
Which is better for AI training?▾
RTX 4500 Ada excels due to 24 GB VRAM and 39.6 TFLOPS, enabling larger batches. RTX 5060's 12 GB limits scale at $0.07 per hour. Choose based on model size.
What architectures do they use?▾
RTX 4500 Ada runs Ada Lovelace from 2023, while RTX 5060 uses Blackwell from 2025. Blackwell offers efficiency gains. Specs show RTX 4500 Ada with higher peak TFLOPS.
Which is cheaper to rent, the RTX 4500 Ada or the RTX 5060?▾
Cloud rental prices for both the RTX 4500 Ada 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 4500 Ada have compared to the RTX 5060?▾
The RTX 4500 Ada has 24 GB of GDDR6 memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find RTX 4500 Ada 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 4500 Ada and the RTX 5060?▾
The RTX 4500 Ada uses the Ada Lovelace architecture (2023) while the RTX 5060 uses Blackwell (2025). The RTX 4500 Ada delivers 1.7x the FP16 throughput and 1.0x the memory bandwidth of the RTX 5060.