Specifications Compared
| Spec | RTX-5080 | TITAN-V |
|---|---|---|
| TDP | 360W | 250W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 10,752 | 5,120 |
| Memory Type | GDDR7 | HBM2 |
| Architecture | Blackwell | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 336 | 640 |
| FP16 Performance | 56.3 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 56.3 TFLOPS | 13.8 TFLOPS |
| INT8 Performance | 900 TOPS | |
| Memory Bandwidth | 960 GB/s | 653 GB/s |
Performance Analysis
The RTX 5080's 56.3 TFLOPS in FP16 and FP32 outperforms the TITAN V's 13.8 TFLOPS by over four times, accelerating matrix multiplications central to deep learning. For training large models, this delta translates to faster iterations: a workload taking one hour on the TITAN V could complete in about 15 minutes on the RTX 5080, assuming compute-bound scenarios.
Inference benefits similarly from the higher throughput, enabling lower latency for real-time applications. The identical FP16 and FP32 rates on both GPUs indicate tensor core efficiency, but the RTX 5080's scale supports modern mixed-precision workflows without compromise.
Memory bandwidth of 960 GB/s on the RTX 5080 versus 653 GB/s on the TITAN V allows larger batch sizes before bottlenecks occur. Paired with 16 GB VRAM against 12 GB, it handles bigger models or datasets: for instance, batch sizes double without spilling to system RAM, reducing overhead in training loops.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the RTX 5080
The RTX 5080 suits modern AI workloads requiring high compute density. Its 56.3 TFLOPS FP16 performance excels in LLM training and Stable Diffusion generation, where the TITAN V's 13.8 TFLOPS falls short by a factor of four.
Cloud availability at $0.25 per hour makes it ideal for scalable inference or fine-tuning, avoiding the TITAN V's lack of live offers.
When to Choose the TITAN V
The TITAN V fits power-constrained local setups with its 250 W TDP versus the RTX 5080's 360 W. Users with existing hardware may prefer it for legacy Volta-optimized codebases.
HBM2 memory at 653 GB/s offers low-latency access for specific scientific simulations where bandwidth per watt matters more than raw capacity.
Use Cases
The RTX 5080's 56.3 TFLOPS FP16 and 16 GB VRAM support larger models and batches than the TITAN V's 13.8 TFLOPS and 12 GB. This reduces training time significantly for LLMs.
Higher 960 GB/s bandwidth on the RTX 5080 enables low-latency serving at scale. The TITAN V's 653 GB/s limits throughput for production inference.
RTX 5080's fourfold compute advantage over TITAN V's 13.8 TFLOPS speeds up iterations. Cloud pricing at $0.38 per hour average makes it cost-effective.
56.3 TFLOPS FP32 on RTX 5080 generates images faster than TITAN V's 13.8 TFLOPS. 16 GB VRAM handles high-resolution tasks without issues.
TITAN V's HBM2 suits latency-sensitive simulations at 250 W. RTX 5080's superior bandwidth excels in bandwidth-heavy parallel jobs.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5080 provides 16 GB GDDR7 VRAM, exceeding the TITAN V's 12 GB HBM2. This allows larger models in AI tasks. Bandwidth also favors the RTX 5080 at 960 GB/s over 653 GB/s.
How do FP32 performances compare?▾
RTX 5080 delivers 56.3 TFLOPS FP32, four times the TITAN V's 13.8 TFLOPS. This impacts general compute and graphics workloads directly. Training benefits most from the gap.
What is the power consumption difference?▾
RTX 5080 requires 360 W TDP, higher than TITAN V's 250 W. Lower power suits edge deployments for TITAN V. Both use PCIe form factors.
Is TITAN V available in the cloud?▾
No live offers exist for TITAN V currently. RTX 5080 has four offers from $0.25 per hour, averaging $0.38 per hour. This affects on-demand usability.
Which is better for AI training?▾
RTX 5080's 56.3 TFLOPS FP16 outperforms TITAN V's 13.8 TFLOPS by over four times. Combined with more VRAM, it handles modern training better. Cloud access adds practicality.
What architectures do they use?▾
RTX 5080 uses Blackwell from 2025, TITAN V uses Volta from 2017. The eight-year gap explains spec advantages like bandwidth. Newer architecture supports advanced features.
Which is cheaper to rent, the RTX 5080 or the TITAN V?▾
Cloud rental prices for both the RTX 5080 and TITAN V 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 5080 have compared to the TITAN V?▾
The RTX 5080 has 16 GB of GDDR7 memory. The TITAN V has 12 GB of HBM2 memory.
Can I find RTX 5080 and TITAN V 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 5080 and the TITAN V?▾
The RTX 5080 uses the Blackwell architecture (2025) while the TITAN V uses Volta (2017). The RTX 5080 delivers 4.1x the FP16 throughput and 1.5x the memory bandwidth of the TITAN V.