Specifications Compared
| Spec | RTX-4070 | RTX-4500-ADA |
|---|---|---|
| TDP | 200W | 210W |
| VRAM | 12 GB | 24 GB |
| CUDA Cores | 5,888 | 7,680 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 240 |
| FP16 Performance | 29.1 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 39.6 TFLOPS |
| INT8 Performance | 466 TOPS | 634 TOPS |
| Memory Bandwidth | 504 GB/s | 432 GB/s |
Performance Analysis
Compute performance differs markedly: the RTX 4500 Ada's 39.6 TFLOPS in FP16 and FP32 exceeds the RTX 4070 Ti SUPER's 29.1 TFLOPS by 36 percent, enabling faster model training iterations and higher inference throughput in machine learning pipelines. This delta translates to quicker convergence in training phases and reduced latency for real-time inference on large language models. VRAM capacity is pivotal: 24 GB on the RTX 4500 Ada supports larger batch sizes and complex models without swapping to system RAM, whereas 12 GB on the RTX 4070 Ti SUPER limits scalability for datasets exceeding that threshold. Memory bandwidth favors the RTX 4070 Ti SUPER at 504 GB/s over 432 GB/s, benefiting bandwidth-intensive operations like data preprocessing or Stable Diffusion generation where rapid memory access accelerates pipelines. TDP remains close at 200W versus 210W, ensuring similar power efficiency in cloud environments. Overall, the RTX 4500 Ada excels in memory-bound training, while the RTX 4070 Ti SUPER handles bandwidth-critical inference effectively.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
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 4070 Ti SUPER
Opt for the RTX 4070 Ti SUPER in budget-limited scenarios requiring high memory bandwidth. Its 504 GB/s outpaces the RTX 4500 Ada's 432 GB/s, ideal for tasks like image generation or inference with smaller models fitting within 12 GB GDDR6X VRAM. At $0.09/hr starting price (average $0.17/hr), it delivers strong 29.1 TFLOPS value for cost-sensitive prototyping or high-volume inference.
When to Choose the RTX 4500 Ada
Select the RTX 4500 Ada for memory-intensive workloads demanding 24 GB GDDR6 VRAM. Its doubled capacity over the RTX 4070 Ti SUPER's 12 GB enables training or fine-tuning of large models without memory constraints. The 39.6 TFLOPS FP16/FP32 performance suits professional pipelines, despite higher $0.34/hr pricing (average $0.51/hr).
Use Cases
The RTX 4500 Ada's 24 GB VRAM and 39.6 TFLOPS FP16/FP32 handle larger datasets and faster iterations than the RTX 4070 Ti SUPER's 12 GB and 29.1 TFLOPS.
24 GB VRAM on the RTX 4500 Ada accommodates bigger models for low-latency serving, surpassing the RTX 4070 Ti SUPER's 12 GB limit.
Higher 39.6 TFLOPS and 24 GB VRAM on the RTX 4500 Ada accelerate fine-tuning of substantial models compared to 29.1 TFLOPS and 12 GB on the RTX 4070 Ti SUPER.
RTX 4070 Ti SUPER's 504 GB/s bandwidth excels in image generation pipelines, with 12 GB VRAM sufficient at lower $0.09/hr cost.
RTX 4070 Ti SUPER suits bandwidth-heavy simulations at 504 GB/s and $0.17/hr average; RTX 4500 Ada's 24 GB VRAM fits memory-demanding analyses.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4500 Ada features 24 GB GDDR6 VRAM, double the RTX 4070 Ti SUPER's 12 GB GDDR6X. This advantage supports larger AI models in training and inference. Bandwidth remains higher on the RTX 4070 Ti SUPER at 504 GB/s versus 432 GB/s.
What are the FP32 performance differences?▾
RTX 4500 Ada delivers 39.6 TFLOPS FP32, surpassing the RTX 4070 Ti SUPER's 29.1 TFLOPS by 36 percent. Both match FP16 at these rates. This boosts training speed on the RTX 4500 Ada.
How do cloud prices compare?▾
RTX 4070 Ti SUPER starts at $0.09/hr (average $0.17/hr) across 2 offers, far below RTX 4500 Ada's $0.34/hr (average $0.51/hr) over 3 offers. Price favors value-driven tasks on the RTX 4070 Ti SUPER. Both use PCIe form factors.
Which has higher memory bandwidth?▾
RTX 4070 Ti SUPER provides 504 GB/s, exceeding RTX 4500 Ada's 432 GB/s. This aids data-heavy workloads like preprocessing. VRAM compensates on RTX 4500 Ada with 24 GB.
What are the TDPs?▾
RTX 4070 Ti SUPER consumes 200W TDP, slightly under RTX 4500 Ada's 210W. Power draw stays comparable for cloud efficiency. Both share Ada Lovelace architecture from 2023.
Is RTX 4500 Ada better for large model training?▾
Yes, its 24 GB VRAM and 39.6 TFLOPS outperform RTX 4070 Ti SUPER's 12 GB and 29.1 TFLOPS for large-scale training. Batch sizes increase without overflow. Cost is higher at average $0.51/hr.
Which is cheaper to rent, the RTX 4070 or the RTX 4500 Ada?▾
Cloud rental prices for both the RTX 4070 and RTX 4500 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 4070 have compared to the RTX 4500 Ada?▾
The RTX 4070 has 12 GB of GDDR6X memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find RTX 4070 and RTX 4500 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 4070 and the RTX 4500 Ada?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4500 Ada delivers 1.4x the FP16 throughput and 1.2x the memory bandwidth of the RTX 4070.