Specifications Compared
| Spec | RTX-4080 | RTX-4500-ADA |
|---|---|---|
| TDP | 320W | 210W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 9,728 | 7,680 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 240 |
| FP16 Performance | 48.7 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 39.6 TFLOPS |
| INT8 Performance | 780 TOPS | 634 TOPS |
| Memory Bandwidth | 717 GB/s | 432 GB/s |
Performance Analysis
Superior compute on the RTX 4080 SUPER, at 48.7 TFLOPS FP16 and FP32, outpaces the RTX 4500 Ada's 39.6 TFLOPS by 23 percent: this accelerates tensor operations in training and inference, enabling quicker epochs or higher request throughput in LLMs. Higher FP32 performance specifically boosts scientific computing and simulations reliant on single-precision math.
Memory bandwidth advantage is pronounced: 717 GB/s on RTX 4080 SUPER versus 432 GB/s on RTX 4500 Ada supports larger batch sizes without stalling data feeds, critical for Stable Diffusion or fine-tuning. Yet RTX 4500 Ada's 24 GB VRAM exceeds 16 GB on RTX 4080 SUPER, permitting full loading of massive models like 70B-parameter LLMs for inference without partitioning.
Lower 210W TDP on RTX 4500 Ada versus 320W allows denser server packing, potentially lowering total costs at scale despite higher hourly rates averaging $0.51 per hour over RTX 4080 SUPER's $0.32 per hour.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB 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 4080 SUPER
Select the RTX 4080 SUPER for compute-intensive tasks demanding peak throughput. Its 48.7 TFLOPS FP16/FP32 and 717 GB/s bandwidth excel in Stable Diffusion image generation or LLM training, where 23 percent higher performance halves iteration times. Starting at $0.17 per hour, it delivers unmatched value for bandwidth-bound workloads.
High-frequency inference benefits from faster memory access, avoiding bottlenecks seen at 432 GB/s on alternatives.
When to Choose the RTX 4500 Ada
Choose RTX 4500 Ada for memory-hungry applications. 24 GB VRAM accommodates larger models or batches in LLM inference, preventing out-of-memory issues that plague 16 GB setups. Its 210W TDP fits power-limited clouds, enabling more instances per rack.
Fine-tuning oversized datasets favors this capacity despite 39.6 TFLOPS compute.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS FP16 and 717 GB/s bandwidth accelerate epochs 23 percent faster than RTX 4500 Ada's 39.6 TFLOPS and 432 GB/s.
RTX 4500 Ada's 24 GB VRAM loads larger models without splitting, ideal for high-parameter LLMs despite lower 39.6 TFLOPS compute.
RTX 4080 SUPER suits smaller models with 48.7 TFLOPS speed; RTX 4500 Ada's 24 GB VRAM handles bigger ones at 210W TDP.
Higher 717 GB/s bandwidth and 48.7 TFLOPS on RTX 4080 SUPER enable larger batches and faster image generation.
48.7 TFLOPS FP32 outperforms RTX 4500 Ada's 39.6 TFLOPS for simulations, with 717 GB/s aiding data-heavy computations.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4080 SUPER or RTX 4500 Ada?▾
RTX 4500 Ada provides 24 GB GDDR6 VRAM, exceeding RTX 4080 SUPER's 16 GB GDDR6X. This aids large-model inference. Bandwidth favors RTX 4080 SUPER at 717 GB/s over 432 GB/s.
What are the cloud pricing differences?▾
RTX 4080 SUPER starts at $0.17 per hour (average $0.32 per hour) across three offers. RTX 4500 Ada begins at $0.34 per hour (average $0.51 per hour). Lower cost pairs with higher compute on RTX 4080 SUPER.
Which has higher compute performance?▾
RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32, 23 percent above RTX 4500 Ada's 39.6 TFLOPS. This benefits training and simulations. Both share Ada Lovelace architecture.
How do TDPs compare?▾
RTX 4500 Ada consumes 210W TDP, lower than RTX 4080 SUPER's 320W. This enables higher density in servers. Power efficiency suits scaled deployments.
Are they the same generation?▾
Both use Ada Lovelace architecture, RTX 4080 SUPER from 2022 and RTX 4500 Ada from 2023. PCIe form factor is identical. Differences lie in VRAM and bandwidth.
Best for AI training?▾
RTX 4080 SUPER leads with 48.7 TFLOPS and 717 GB/s bandwidth for faster training. Its $0.32 per hour average beats RTX 4500 Ada's $0.51 per hour. Use RTX 4500 Ada for VRAM-heavy cases.
Which is cheaper to rent, the RTX 4080 or the RTX 4500 Ada?▾
Cloud rental prices for both the RTX 4080 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 4080 have compared to the RTX 4500 Ada?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find RTX 4080 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 4080 and the RTX 4500 Ada?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4080 delivers 1.2x the FP16 throughput and 1.7x the memory bandwidth of the RTX 4500 Ada.