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 |
| FP16 (dense) | 59.5 TFLOPS | Not published |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 238 TOPS | Not published |
| Interconnect | PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 272 | 400 |
| FP32 Performance | 29.8 TFLOPS | 65.3 TFLOPS |
| Memory Bandwidth | 760 GB/s | 576 GB/s |
| FP8 (with sparsity) | Not published | 1,044.4 TFLOPS |
| FP16 (with sparsity) | 119 TFLOPS | Not published |
| INT8 (with sparsity) | 476 TOPS | Not published |
Performance Analysis
The RTX 5000 Ada achieves 65.3 TFLOPS FP32 while the RTX 3080 achieves 29.8 TFLOPS FP32. This FP32 difference indicates the RTX 5000 Ada can complete twice as many single precision operations per second. The RTX 3080 supplies 59.5 TFLOPS dense FP16 and the RTX 5000 Ada does not publish an FP16 figure. Memory bandwidth of 760 GB/s on the RTX 3080 versus 576 GB/s on the RTX 5000 Ada affects the rate at which data moves between memory and cores during large batch operations. The RTX 3080 further lists 238 TOPS dense INT8 while the RTX 5000 Ada does not publish an INT8 figure.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
RTX 3080
RTX 3080 is not offered on-demand by any provider we track right now. See the RTX 3080 rental page for last-seen listed prices and a price alert.
RTX 5000 Ada
RTX 5000 Ada is not offered on-demand by any provider we track right now. See the RTX 5000 Ada rental page for last-seen listed prices and a price alert.
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When to Choose the RTX 3080
The RTX 3080 suits workloads that benefit from its 760 GB/s memory bandwidth when moving data at high rates. Its published 59.5 TFLOPS dense FP16 also supports dense half precision tasks where the RTX 5000 Ada figure remains unavailable.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada suits workloads that require its 32 GB VRAM capacity for larger data sets. Its 65.3 TFLOPS FP32 and 250 W TDP further support sustained operation with lower power draw than the 320 W TDP of the RTX 3080.
Use Cases
The RTX 5000 Ada supplies 32 GB VRAM that accommodates larger training batches than the 10 GB to 12 GB VRAM on the RTX 3080.
The RTX 5000 Ada delivers 65.3 TFLOPS FP32 that processes inference steps faster than the 29.8 TFLOPS FP32 on the RTX 3080.
The RTX 5000 Ada provides 32 GB VRAM that supports fine tuning of models exceeding the capacity of the 10 GB to 12 GB VRAM on the RTX 3080.
The RTX 3080 supplies 760 GB/s memory bandwidth that moves image tensors at a higher rate than the 576 GB/s bandwidth on the RTX 5000 Ada.
The RTX 5000 Ada achieves 65.3 TFLOPS FP32 that accelerates scientific calculations beyond the 29.8 TFLOPS FP32 of the RTX 3080.
Frequently Asked Questions
How does FP32 performance differ between the RTX 3080 and RTX 5000 Ada?▾
The RTX 5000 Ada reaches 65.3 TFLOPS FP32. The RTX 3080 reaches 29.8 TFLOPS FP32. This places the RTX 5000 Ada at more than double the FP32 throughput of the RTX 3080.
Which GPU has higher memory bandwidth?▾
The RTX 3080 lists 760 GB/s memory bandwidth. The RTX 5000 Ada lists 576 GB/s memory bandwidth. The higher figure on the RTX 3080 moves data between memory and compute units more rapidly.
What are the TDP values for the RTX 3080 and RTX 5000 Ada?▾
The RTX 3080 lists a 320 W TDP. The RTX 5000 Ada lists a 250 W TDP. The lower TDP on the RTX 5000 Ada reduces power consumption during operation.
Does the RTX 5000 Ada publish an FP16 figure?▾
The RTX 5000 Ada does not publish an FP16 figure. The RTX 3080 publishes 59.5 TFLOPS dense FP16. Direct dense FP16 comparisons therefore use only the RTX 3080 value.
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 3080 has 10-12 GB of GDDR6X at 760 GB/s; the RTX 5000 Ada has 32 GB of GDDR6 at 576 GB/s, so the RTX 3080 has 1.3x the memory bandwidth of the RTX 5000 Ada.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 3080 and the RTX 5000 Ada. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent RTX 3080Every current offer by provider, daily price history and a price alert.
- Rent RTX 5000 ADAEvery current offer by provider, daily price history and a price alert.
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- All GPUsEvery GPU we track, with current lows and provider counts.