Specifications Compared
| Spec | RTX-4500-ADA | RTX-5070 |
|---|---|---|
| TDP | 210W | 250W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 7,680 | 6,144 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 240 | 192 |
| FP16 Performance | 39.6 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 39.6 TFLOPS | 40.6 TFLOPS |
| INT8 Performance | 634 TOPS | 650 TOPS |
| Memory Bandwidth | 432 GB/s | 448 GB/s |
Performance Analysis
Compute performance reveals tight competition between these GPUs: the RTX 4500 Ada achieves 39.6 TFLOPS in FP16 and FP32, while the RTX 5070 delivers 40.6 TFLOPS in both formats, translating to about 2.5 percent higher throughput for AI training and inference tasks. This similarity ensures workloads like model training run comparably, with minimal speedup from the newer architecture alone.
Memory bandwidth favors the RTX 5070 slightly at 448 GB/s over 432 GB/s on the RTX 4500 Ada: higher bandwidth supports larger batch sizes in training by reducing data transfer bottlenecks, potentially improving utilization in memory-bound scenarios. However, the RTX 4500 Ada's doubled 24 GB VRAM versus 12 GB enables handling of larger models or bigger batches outright, critical for inference on LLMs exceeding 12 GB.
Power consumption differs with the RTX 5070's 250W TDP exceeding the RTX 4500 Ada's 210W: this higher draw may limit density in multi-GPU cloud instances but sustains peak 40.6 TFLOPS performance.
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 |
When to Choose the RTX 4500 Ada
The RTX 4500 Ada stands out for memory-intensive applications: its 24 GB GDDR6 VRAM accommodates large LLMs or datasets that surpass the RTX 5070's 12 GB limit, ideal for training or fine-tuning models like 13B parameter variants. Professional users benefit from Ada Lovelace stability in sustained enterprise workloads, despite the $0.51 per hour average cost.
When to Choose the RTX 5070
The RTX 5070 proves optimal for budget-conscious deployments: starting at $0.08 per hour with an average of $0.21 across 6 offers, it matches 39.6 TFLOPS closely at 40.6 TFLOPS while adding Blackwell architecture benefits. It suits inference or fine-tuning on models fitting within 12 GB VRAM, where 448 GB/s bandwidth aids efficient batch processing.
Use Cases
The RTX 4500 Ada's 24 GB VRAM supports larger models and batches than the RTX 5070's 12 GB. This capacity prevents out-of-memory errors in training 13B+ parameter LLMs.
The RTX 5070's 40.6 TFLOPS and 448 GB/s bandwidth enable efficient inference for models under 12 GB. Lower $0.21 per hour average cost favors high-volume serving.
24 GB VRAM on RTX 4500 Ada handles dataset expansions during fine-tuning beyond 12 GB limits. 39.6 TFLOPS sustains professional-grade precision tasks.
Both GPUs offer around 40 TFLOPS FP16 for image generation, with 12-24 GB VRAM suiting typical pipelines. RTX 5070 edges on cost at $0.21 per hour average.
RTX 5070's 40.6 TFLOPS FP32 and 448 GB/s bandwidth accelerate simulations efficiently. $0.08 per hour low pricing supports extended compute runs.
Frequently Asked Questions
What is the VRAM difference between RTX 4500 Ada and RTX 5070?▾
The RTX 4500 Ada has 24 GB GDDR6 VRAM, double the RTX 5070's 12 GB GDDR7. This makes the RTX 4500 Ada better for large models, while RTX 5070 suffices for smaller ones. Bandwidth stands at 432 GB/s versus 448 GB/s.
Which GPU has higher compute performance?▾
The RTX 5070 leads with 40.6 TFLOPS in FP16 and FP32, compared to 39.6 TFLOPS on RTX 4500 Ada. This 2.5 percent edge aids training and inference slightly. Both share PCIe form factor.
How do cloud prices compare for these GPUs?▾
RTX 5070 starts at $0.08 per hour with $0.21 average across 6 offers, versus RTX 4500 Ada's $0.34 start and $0.51 average from 3 offers. This positions RTX 5070 as more affordable for most users. Prices reflect live cloud availability.
What are the TDP ratings?▾
RTX 5070 draws 250W TDP, higher than RTX 4500 Ada's 210W. Higher TDP on RTX 5070 supports sustained 40.6 TFLOPS but increases power costs in clusters. Both fit PCIe slots.
Is Blackwell architecture better than Ada Lovelace here?▾
RTX 5070's Blackwell from 2025 offers 40.6 TFLOPS and 448 GB/s, edging Ada Lovelace's 39.6 TFLOPS and 432 GB/s on RTX 4500 Ada. Future software optimizations favor Blackwell. VRAM remains the key differentiator at 12 GB versus 24 GB.
Can RTX 5070 replace RTX 4500 Ada in professional work?▾
RTX 5070 matches performance at 40.6 TFLOPS but halves VRAM to 12 GB from 24 GB, limiting large-model tasks. It excels at $0.21 per hour average for cost-sensitive pro use. Choose based on memory needs.
Which is cheaper to rent, the RTX 4500 Ada or the RTX 5070?▾
Cloud rental prices for both the RTX 4500 Ada and RTX 5070 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 5070?▾
The RTX 4500 Ada has 24 GB of GDDR6 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find RTX 4500 Ada and RTX 5070 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 5070?▾
The RTX 4500 Ada uses the Ada Lovelace architecture (2023) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 1.0x the FP16 throughput and 1.0x the memory bandwidth of the RTX 4500 Ada.