Specifications Compared
| Spec | RTX-2000-ADA | RTX-4080 |
|---|---|---|
| TDP | 70W | 320W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 2,816 | 9,728 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 88 | 304 |
| FP16 Performance | 12 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 12 TFLOPS | 48.7 TFLOPS |
| INT8 Performance | 192 TOPS | 780 TOPS |
| Memory Bandwidth | 288 GB/s | 717 GB/s |
Performance Analysis
Compute performance differs starkly: RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32, enabling four times faster model training and inference than RTX 2000 Ada's 12 TFLOPS. This delta shortens epochs in deep learning pipelines, crucial for large language models where FP32 precision matters.
Memory bandwidth impacts data handling: 717 GB/s on RTX 4080 SUPER supports larger batch sizes and reduces bottlenecks during training on datasets exceeding hundreds of gigabytes, compared to 288 GB/s on RTX 2000 Ada which limits scale for memory-intensive inference.
Power draw separates use cases further. RTX 2000 Ada's 70W TDP fits low-power cloud instances or multi-GPU setups without thermal issues, while RTX 4080 SUPER's 320W requires robust cooling but justifies it with superior throughput for high-utilization workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 2000 Ada Generation 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.24/GPU/hr |
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 |
When to Choose the RTX 2000 Ada Generation
RTX 2000 Ada suits efficiency-focused scenarios. Its 70W TDP enables deployment in power-limited cloud nodes or edge servers, consuming far less energy than RTX 4080 SUPER's 320W. At starting prices of $0.14 per hour, it delivers cost-effective 12 TFLOPS FP16/FP32 for lightweight inference or development testing on models fitting within 16 GB VRAM.
When to Choose the RTX 4080 SUPER
RTX 4080 SUPER dominates high-performance needs. The 48.7 TFLOPS FP16/FP32 rating accelerates training cycles by over 300 percent versus RTX 2000 Ada, ideal for fine-tuning large models. Its 717 GB/s bandwidth handles massive datasets, supporting production-scale inference at $0.17 per hour starting rates.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS FP32 outperforms RTX 2000 Ada's 12 TFLOPS, enabling faster convergence on large models. Higher 717 GB/s bandwidth supports bigger batches.
48.7 TFLOPS FP16 on RTX 4080 SUPER delivers higher throughput for real-time queries than 12 TFLOPS on RTX 2000 Ada. 16 GB VRAM matches, but bandwidth aids token generation speed.
RTX 4080 SUPER handles parameter-efficient fine-tuning with 4x compute advantage at 48.7 TFLOPS. It reduces iteration time significantly over RTX 2000 Ada's capabilities.
Both offer 16 GB VRAM for image generation. RTX 2000 Ada's lower $0.14/hr cost fits prototyping, while RTX 4080 SUPER's 48.7 TFLOPS speeds high-resolution batches.
RTX 2000 Ada's 70W TDP and $0.14/hr pricing suit sustained simulations in power-constrained setups. 12 TFLOPS suffices for many FP32 workloads without excess.
Frequently Asked Questions
What is the VRAM difference between RTX 2000 Ada and RTX 4080 SUPER?▾
Both GPUs provide 16 GB VRAM. RTX 2000 Ada uses GDDR6, while RTX 4080 SUPER employs GDDR6X for superior speed.
Which GPU has higher memory bandwidth?▾
RTX 4080 SUPER achieves 717 GB/s, more than double the 288 GB/s of RTX 2000 Ada. This benefits data-heavy tasks like model training.
How do power consumptions compare?▾
RTX 2000 Ada draws 70W TDP, far lower than RTX 4080 SUPER's 320W. Lower power aids dense deployments.
What are the cloud pricing ranges?▾
RTX 2000 Ada starts at $0.14 per hour, averaging $0.29 across three offers. RTX 4080 SUPER begins at $0.17 per hour, averaging $0.32.
Which offers better FP32 performance?▾
RTX 4080 SUPER delivers 48.7 TFLOPS FP32, over four times the 12 TFLOPS of RTX 2000 Ada. This accelerates precision-sensitive computations.
Are both on the same architecture?▾
Yes, both use Ada Lovelace. RTX 2000 Ada launched in 2024, RTX 4080 SUPER in 2022, sharing PCIe form factors.
Which is cheaper to rent, the RTX 2000 Ada or the RTX 4080?▾
Cloud rental prices for both the RTX 2000 Ada and RTX 4080 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 2000 Ada have compared to the RTX 4080?▾
The RTX 2000 Ada has 16 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find RTX 2000 Ada and RTX 4080 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 2000 Ada and the RTX 4080?▾
The RTX 2000 Ada uses the Ada Lovelace architecture (2024) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 4.1x the FP16 throughput and 2.5x the memory bandwidth of the RTX 2000 Ada.