Specifications Compared
| Spec | RTX-4500-ADA | RTX-5080 |
|---|---|---|
| TDP | 210W | 360W |
| VRAM | 24 GB | 16 GB |
| CUDA Cores | 7,680 | 10,752 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 240 | 336 |
| FP16 Performance | 39.6 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 39.6 TFLOPS | 56.3 TFLOPS |
| INT8 Performance | 634 TOPS | 900 TOPS |
| Memory Bandwidth | 432 GB/s | 960 GB/s |
Performance Analysis
The RTX 5080 outperforms the RTX 4500 Ada in raw compute by 42 percent, as its 56.3 TFLOPS in FP16 and FP32 exceeds the 39.6 TFLOPS of the older card: this translates to faster model training and inference times in deep learning pipelines. For training large language models, the higher TFLOPS on the RTX 5080 reduces epochs duration significantly compared to the RTX 4500 Ada's capabilities.
Memory bandwidth doubles on the RTX 5080 at 960 GB/s versus 432 GB/s, enabling larger batch sizes without memory bottlenecks during inference or training. This advantage shines in scenarios with high data throughput, such as processing extensive datasets, where the RTX 4500 Ada might require smaller batches due to its lower bandwidth. However, the RTX 4500 Ada's 24 GB VRAM surpasses the RTX 5080's 16 GB, accommodating larger models outright without quantization.
Power draw differs markedly: the RTX 4500 Ada's 210W TDP suits power-constrained setups, while the RTX 5080's 360W demands robust cooling and infrastructure, impacting cloud deployment density.
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 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the RTX 4500 Ada
The RTX 4500 Ada excels in workloads requiring substantial VRAM, such as loading unquantized large language models up to 24 GB without splitting across GPUs. Its lower 210W TDP also favors dense multi-GPU configurations in clouds where power efficiency matters, and at $0.34 per hour starting price, it offers value for memory-intensive tasks like fine-tuning models that exceed 16 GB.
Professionals prioritizing Ada Lovelace stability for validated workflows choose this GPU over the newer Blackwell option.
When to Choose the RTX 5080
The RTX 5080 suits high-throughput applications leveraging its 56.3 TFLOPS FP16/FP32 performance and 960 GB/s bandwidth, ideal for rapid LLM inference or Stable Diffusion generation with large batches. At a lower starting price of $0.25 per hour, it provides better value for compute-bound tasks where speed trumps extra VRAM.
Users targeting Blackwell's architectural improvements for future-proofing select it for training and scientific computing demanding peak FLOPS.
Use Cases
The RTX 5080's 56.3 TFLOPS FP32 and 960 GB/s bandwidth accelerate training epochs by handling larger batches faster than the RTX 4500 Ada's 39.6 TFLOPS and 432 GB/s.
Higher 56.3 TFLOPS FP16 on the RTX 5080 enables quicker token generation for high-query loads, surpassing the RTX 4500 Ada's 39.6 TFLOPS.
RTX 4500 Ada's 24 GB VRAM fits larger models for fine-tuning without quantization, unlike the RTX 5080's 16 GB limit.
The RTX 5080's 960 GB/s bandwidth and 56.3 TFLOPS support faster image generation at higher resolutions than the RTX 4500 Ada's 432 GB/s.
RTX 4500 Ada's 24 GB VRAM aids memory-heavy simulations, while RTX 5080's 56.3 TFLOPS speeds FP32 computations; choice depends on VRAM versus speed needs.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4500 Ada offers 24 GB GDDR6 VRAM, exceeding the RTX 5080's 16 GB GDDR7. This makes the RTX 4500 Ada better for models requiring over 16 GB memory.
What is the performance difference in TFLOPS?▾
The RTX 5080 provides 56.3 TFLOPS in both FP16 and FP32, a 42 percent increase over the RTX 4500 Ada's 39.6 TFLOPS. This gap impacts training and inference speeds directly.
How do cloud prices compare?▾
RTX 5080 starts at $0.25 per hour with an average of $0.38 per hour across four offers, cheaper than RTX 4500 Ada's $0.34 per hour start and $0.51 average over three offers.
Which has higher memory bandwidth?▾
RTX 5080 achieves 960 GB/s with GDDR7, more than double the RTX 4500 Ada's 432 GB/s GDDR6. Higher bandwidth supports larger batch sizes in AI workloads.
What are the TDP ratings?▾
RTX 4500 Ada consumes 210W TDP, lower than RTX 5080's 360W. The efficiency aids power-limited cloud instances.
Which architecture is newer?▾
RTX 5080 uses Blackwell from 2025, succeeding RTX 4500 Ada's Ada Lovelace of 2023. Blackwell brings compute and bandwidth gains.
Which is cheaper to rent, the RTX 4500 Ada or the RTX 5080?▾
Cloud rental prices for both the RTX 4500 Ada and RTX 5080 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 5080?▾
The RTX 4500 Ada has 24 GB of GDDR6 memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find RTX 4500 Ada and RTX 5080 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 5080?▾
The RTX 4500 Ada uses the Ada Lovelace architecture (2023) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 1.4x the FP16 throughput and 2.2x the memory bandwidth of the RTX 4500 Ada.