Specifications Compared
| Spec | RTX-3080 | RTX-5000-ADA |
|---|---|---|
| TDP | 320W | 250W |
| VRAM | 10-12 GB | 32 GB |
| CUDA Cores | 8,704 | 12,800 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 272 | 400 |
| FP16 Performance | 29.8 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 65.3 TFLOPS |
| Memory Bandwidth | 760 GB/s | 576 GB/s |
Performance Analysis
Compute performance favors the RTX 5000 Ada significantly: it achieves 65.3 TFLOPS in both FP16 and FP32, more than doubling the RTX 3080 Ti's 29.8 TFLOPS per precision. This delta translates to faster neural network training and inference, where FP16 accelerates matrix operations common in deep learning, potentially halving training times for compatible models on the Ada GPU. The RTX 5000 Ada's 32 GB VRAM enables handling massive datasets or large language models without splitting across GPUs, unlike the RTX 3080 Ti's 10 to 12 GB limit. Memory bandwidth tells another story: the RTX 3080 Ti's 760 GB/s exceeds the RTX 5000 Ada's 576 GB/s, allowing larger batch sizes in bandwidth-bound tasks like certain inference pipelines before VRAM constraints hit. Power efficiency also differs, with the RTX 5000 Ada's 250W TDP versus 320W for the RTX 3080 Ti, reducing operational costs in prolonged cloud sessions. Overall, the newer architecture excels in memory-intensive AI workflows, while the Ampere card suits bandwidth-heavy scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the RTX 3080 Ti
The RTX 3080 Ti stands out for budget-conscious users targeting workloads fitting within 10 to 12 GB VRAM. Its 760 GB/s bandwidth supports high-throughput tasks like Stable Diffusion image generation or smaller-scale fine-tuning, where cloud costs from $0.08 per hour provide value. At 29.8 TFLOPS FP32, it handles scientific computing or inference efficiently without overpaying for unused 32 GB capacity.
When to Choose the RTX 5000 Ada Generation
Opt for the RTX 5000 Ada when VRAM demands exceed 12 GB, such as LLM training with models over 7 billion parameters. Its 32 GB GDDR6 and 65.3 TFLOPS FP16 performance enable single-GPU operation for large batches, cutting multi-GPU complexity. The 250W TDP ensures lower power draw in extended cloud rentals averaging $0.51 per hour.
Use Cases
The RTX 5000 Ada's 32 GB VRAM accommodates large models without multi-GPU setups, unlike the RTX 3080 Ti's 10 to 12 GB limit. Its 65.3 TFLOPS FP16 doubles training speed over 29.8 TFLOPS.
32 GB VRAM on the RTX 5000 Ada supports high-concurrency inference for big LLMs. 65.3 TFLOPS FP16 ensures lower latency than the RTX 3080 Ti's 29.8 TFLOPS.
RTX 5000 Ada's superior 65.3 TFLOPS and 32 GB VRAM handle parameter-efficient fine-tuning on large models. RTX 3080 Ti suffices only for datasets under 12 GB.
RTX 3080 Ti's 760 GB/s bandwidth excels in image generation pipelines fitting 10 to 12 GB VRAM. Lower $0.08 per hour pricing beats RTX 5000 Ada's cost for this task.
Both deliver 29.8 or 65.3 TFLOPS FP32 for simulations; choose RTX 3080 Ti for bandwidth-intensive codes at $0.14 average hourly rate, or RTX 5000 Ada for VRAM-heavy datasets.
Frequently Asked Questions
Which GPU has more VRAM: RTX 3080 Ti or RTX 5000 Ada?▾
The RTX 5000 Ada provides 32 GB GDDR6 VRAM, far exceeding the RTX 3080 Ti's 10 to 12 GB GDDR6X. This makes the Ada better for large models. Bandwidth is higher on the 3080 Ti at 760 GB/s versus 576 GB/s.
How do their compute performances compare?▾
RTX 5000 Ada achieves 65.3 TFLOPS in FP16 and FP32, more than double the RTX 3080 Ti's 29.8 TFLOPS per precision. This boosts AI training and inference speeds. The Ada architecture from 2023 enhances tensor core efficiency.
What are the cloud rental prices?▾
RTX 3080 Ti starts at $0.08 per hour, averaging $0.14 across four offers. RTX 5000 Ada begins at $0.25 per hour, averaging $0.51 over five offers. Prices reflect performance and VRAM differences.
Which has lower power consumption?▾
The RTX 5000 Ada uses 250W TDP, lower than the RTX 3080 Ti's 320W. This reduces cloud electricity costs in long runs. Both are PCIe form factors.
Is RTX 5000 Ada worth the higher price?▾
Yes for VRAM-intensive tasks, as 32 GB and 65.3 TFLOPS outperform RTX 3080 Ti's limits. For small workloads, the 3080 Ti's $0.08 rate saves money. Choose based on model size.
What architectures do they use?▾
RTX 3080 Ti runs Ampere from 2020; RTX 5000 Ada uses Ada Lovelace from 2023. The newer design doubles FP performance to 65.3 TFLOPS. Both lack specified interconnects.
Which is cheaper to rent, the RTX 3080 or the RTX 5000 Ada?▾
Cloud rental prices for both the RTX 3080 and RTX 5000 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 5000 Ada?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find RTX 3080 and RTX 5000 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 5000 Ada?▾
The RTX 3080 uses the Ampere architecture (2020) while the RTX 5000 Ada uses Ada Lovelace (2023). The RTX 5000 Ada delivers 2.2x the FP16 throughput and 1.3x the memory bandwidth of the RTX 3080.