Specifications Compared
| Spec | RTX-4080 | TITAN-XP |
|---|---|---|
| TDP | 320W | 250W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 9,728 | 3,840 |
| Memory Type | GDDR6X | GDDR5X |
| Architecture | Ada Lovelace | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | |
| FP16 Performance | 48.7 TFLOPS | 12.1 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 12.1 TFLOPS |
| INT8 Performance | 780 TOPS | |
| Memory Bandwidth | 717 GB/s | 548 GB/s |
Performance Analysis
The RTX 4080 SUPER's 48.7 TFLOPS in FP16 and FP32 provides roughly four times the compute power of the TITAN Xp's 12.1 TFLOPS, translating to significantly faster training and inference for machine learning models. For training large language models, this delta reduces iteration times substantially, allowing researchers to experiment more rapidly on datasets that would bottleneck on the older card.
Memory bandwidth plays a critical role in workload efficiency: the RTX 4080 SUPER's 717 GB/s supports larger batch sizes during training and inference than the TITAN Xp's 548 GB/s, minimizing data transfer overhead in memory-bound tasks like fine-tuning or Stable Diffusion generation. The extra 4 GB VRAM on the RTX 4080 SUPER enables handling models up to 16 GB without quantization or multi-GPU setups, which the TITAN Xp's 12 GB often requires.
Power efficiency per TFLOP favors the TITAN Xp slightly at 0.048 TFLOPS per watt versus the RTX 4080 SUPER's 0.152 TFLOPS per watt, but absolute performance dominates modern applications where speed trumps marginal efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 4080 SUPER
The RTX 4080 SUPER excels in contemporary AI workloads: its 48.7 TFLOPS FP16 performance accelerates LLM training and inference over four times faster than the TITAN Xp's 12.1 TFLOPS. Cloud availability from $0.17 per hour makes it ideal for scalable deployments requiring 16 GB VRAM and 717 GB/s bandwidth.
For Stable Diffusion or scientific computing with large datasets, the RTX 4080 SUPER handles bigger models and batches without compromise.
When to Choose the TITAN Xp
The TITAN Xp fits legacy software optimized for Pascal architecture, where recompilation for Ada Lovelace proves challenging. Its lower 250W TDP suits power-constrained environments or offline setups with existing 12 GB VRAM needs.
Light inference tasks or older games benefit from its availability if sourced cheaply outside cloud platforms, avoiding the RTX 4080 SUPER's higher 320W draw.
Use Cases
The RTX 4080 SUPER's 48.7 TFLOPS FP16 outperforms the TITAN Xp's 12.1 TFLOPS by a factor of four, drastically reducing training times for large models.
With 16 GB VRAM and 717 GB/s bandwidth, the RTX 4080 SUPER supports larger batch sizes and models than the TITAN Xp's 12 GB and 548 GB/s.
The RTX 4080 SUPER's higher FP32 performance at 48.7 TFLOPS enables efficient fine-tuning of models that exceed the TITAN Xp's 12.1 TFLOPS capacity.
Superior memory bandwidth of 717 GB/s on the RTX 4080 SUPER allows faster image generation with larger batches compared to 548 GB/s on the TITAN Xp.
The RTX 4080 SUPER's 48.7 TFLOPS FP32 and 16 GB VRAM handle complex simulations better than the TITAN Xp's 12.1 TFLOPS and 12 GB.
Frequently Asked Questions
What is the performance difference between RTX 4080 SUPER and TITAN Xp?▾
The RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32, compared to the TITAN Xp's 12.1 TFLOPS, a roughly fourfold increase. This gap accelerates AI training and inference significantly. Memory bandwidth also favors the RTX 4080 SUPER at 717 GB/s over 548 GB/s.
How much VRAM do these GPUs have?▾
The RTX 4080 SUPER offers 16 GB GDDR6X VRAM, while the TITAN Xp has 12 GB GDDR5X. This extra capacity on the newer GPU supports larger models without splitting. Bandwidth reaches 717 GB/s on RTX 4080 SUPER versus 548 GB/s.
What are the cloud prices for these GPUs?▾
RTX 4080 SUPER pricing starts at $0.17 per hour, averaging $0.32 per hour across three live offers. The TITAN Xp has no current live cloud offers available. Users may find TITAN Xp offline at lower costs.
What are the TDPs of RTX 4080 SUPER and TITAN Xp?▾
The RTX 4080 SUPER has a 320W TDP, higher than the TITAN Xp's 250W. This reflects greater performance potential on the newer card. Both use PCIe form factors.
Which architecture do these GPUs use?▾
RTX 4080 SUPER uses Ada Lovelace from 2022, while TITAN Xp employs Pascal from 2017. Ada Lovelace delivers advanced features like improved ray tracing. Compute specs show 48.7 TFLOPS versus 12.1 TFLOPS.
Is RTX 4080 SUPER better for AI than TITAN Xp?▾
Yes, the RTX 4080 SUPER excels in AI with 48.7 TFLOPS FP16, 16 GB VRAM, and 717 GB/s bandwidth, far exceeding the TITAN Xp's 12.1 TFLOPS, 12 GB, and 548 GB/s. It suits modern LLM tasks. Cloud pricing enhances accessibility.
Which is cheaper to rent, the RTX 4080 or the TITAN Xp?▾
Cloud rental prices for both the RTX 4080 and TITAN Xp 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 4080 have compared to the TITAN Xp?▾
The RTX 4080 has 16 GB of GDDR6X memory. The TITAN Xp has 12 GB of GDDR5X memory.
Can I find RTX 4080 and TITAN Xp 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 4080 and the TITAN Xp?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the TITAN Xp uses Pascal (2017). The RTX 4080 delivers 4.0x the FP16 throughput and 1.3x the memory bandwidth of the TITAN Xp.