Specifications Compared
| Spec | RTX-3080 | RTX-4000-ADA |
|---|---|---|
| TDP | 320W | 130W |
| VRAM | 10-12 GB | 20 GB |
| CUDA Cores | 8,704 | 6,144 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 272 | 192 |
| FP16 Performance | 29.8 TFLOPS | 26.7 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 26.7 TFLOPS |
| Memory Bandwidth | 760 GB/s | 360 GB/s |
Performance Analysis
Memory bandwidth marks a key distinction: the RTX 3080 Ti achieves 760 GB/s, enabling larger batch sizes in training and inference compared to the RTX 4000 Ada's 360 GB/s. This advantage benefits memory-bound workloads like Stable Diffusion or scientific simulations where data transfer rates limit performance. FP16 and FP32 ratings of 29.8 TFLOPS on the RTX 3080 Ti slightly exceed the RTX 4000 Ada's 26.7 TFLOPS, suggesting marginally faster compute for half-precision AI tasks.
The RTX 4000 Ada's 20 GB VRAM capacity outperforms the RTX 3080 Ti's 10 to 12 GB for loading extensive models in LLM inference, reducing the need for model sharding. Lower TDP of 130 W versus 320 W supports denser multi-GPU configurations, enhancing scalability in cloud clusters despite reduced bandwidth. Newer Ada Lovelace architecture may offer optimized instructions for modern frameworks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
 Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
When to Choose the RTX 3080 Ti
Select the RTX 3080 Ti for bandwidth-critical applications. Its 760 GB/s memory bandwidth outperforms the RTX 4000 Ada's 360 GB/s, accelerating training with large batches and high-resolution generative tasks. Average cloud pricing of $0.14 per hour across 4 offers provides superior value for budget-conscious users needing 29.8 TFLOPS performance.
When to Choose the RTX 4000 Ada Generation
The RTX 4000 Ada suits VRAM-demanding scenarios. With 20 GB GDDR6, it handles larger LLMs in inference and fine-tuning beyond the RTX 3080 Ti's 10 to 12 GB limit. Its 130 W TDP enables efficient, high-density deployments, offsetting the $0.27 average hourly cost across 10 offers.
Use Cases
RTX 3080 Ti's 760 GB/s bandwidth handles larger training batches better than RTX 4000 Ada's 360 GB/s, maximizing throughput at 29.8 TFLOPS.
20 GB VRAM on RTX 4000 Ada accommodates bigger models for inference, exceeding RTX 3080 Ti's 10-12 GB capacity.
Comparable 26.7 to 29.8 TFLOPS FP16/FP32 performance fits fine-tuning; select based on VRAM needs versus bandwidth.
Higher 760 GB/s bandwidth on RTX 3080 Ti speeds up texture loading and generation compared to 360 GB/s on RTX 4000 Ada.
RTX 4000 Ada's 130 W TDP and 20 GB VRAM support prolonged simulations in power-limited setups better than RTX 3080 Ti's 320 W.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX 4000 Ada Generation provides 20 GB GDDR6 VRAM, surpassing RTX 3080 Ti's 10-12 GB GDDR6X. Greater capacity aids large model inference. It averages $0.27 per hour across 10 cloud offers.
What is the memory bandwidth comparison?▾
RTX 3080 Ti delivers 760 GB/s bandwidth, double the RTX 4000 Ada's 360 GB/s. This boosts batch processing in training. Both use PCIe interconnects.
Which consumes less power?▾
RTX 4000 Ada has 130 W TDP, far below RTX 3080 Ti's 320 W. Lower power suits dense cloud instances. Pricing starts at $0.09 per hour.
How do cloud prices differ?▾
RTX 3080 Ti offers from $0.08 per hour, averaging $0.14 across 4 offers, undercutting RTX 4000 Ada's $0.09 start and $0.27 average over 10 offers. Rates vary by provider.
Which performs better in FP32?▾
RTX 3080 Ti reaches 29.8 TFLOPS FP32, ahead of RTX 4000 Ada's 26.7 TFLOPS. FP16 matches closely. Ampere versus Ada architectures influence optimizations.
Are these GPUs good for machine learning?▾
Both excel with over 26 TFLOPS FP16/FP32: 29.8 on RTX 3080 Ti, 26.7 on RTX 4000 Ada. RTX 3080 Ti favors bandwidth-heavy ML, RTX 4000 Ada VRAM-intensive tasks.
Which is cheaper to rent, the RTX 3080 or the RTX 4000 Ada?▾
Cloud rental prices for both the RTX 3080 and RTX 4000 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 3080 have compared to the RTX 4000 Ada?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find RTX 3080 and RTX 4000 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 3080 and the RTX 4000 Ada?▾
The RTX 3080 uses the Ampere architecture (2020) while the RTX 4000 Ada uses Ada Lovelace (2023). The RTX 3080 delivers 1.1x the FP16 throughput and 2.1x the memory bandwidth of the RTX 4000 Ada.