Specifications Compared
| Spec | RTX-4080 | RTX-5080 |
|---|---|---|
| TDP | 320W | 360W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 9,728 | 10,752 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 336 |
| FP16 Performance | 48.7 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 56.3 TFLOPS |
| INT8 Performance | 780 TOPS | 900 TOPS |
| Memory Bandwidth | 717 GB/s | 960 GB/s |
Performance Analysis
The RTX 5080 outperforms the RTX 4080 SUPER in compute capability: 56.3 TFLOPS versus 48.7 TFLOPS in FP16 and FP32 marks a 15.6 percent improvement. This delta accelerates deep learning training where FP16 handles matrix multiplications efficiently and enhances inference speeds for real-time applications.
Memory bandwidth stands out as a key differentiator: the RTX 5080's 960 GB/s compared to 717 GB/s allows larger batch sizes in model training. Workloads with extensive data movement, such as large language models, benefit from reduced bottlenecks and faster epoch completion.
The TDP rises from 320 W to 360 W on the RTX 5080, indicating higher power needs for peak performance. Blackwell architecture likely adds efficiency gains in tensor cores, amplifying real-world gains beyond raw specs.
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 |
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 4080 SUPER
The RTX 4080 SUPER suits budget-limited projects requiring solid performance. Its starting cloud price of $0.17 per hour and 48.7 TFLOPS deliver value for fine-tuning mid-sized models or Stable Diffusion inference where 717 GB/s bandwidth handles typical batch sizes. The lower 320 W TDP fits power-restricted instances without performance compromise.
When to Choose the RTX 5080
Opt for the RTX 5080 in high-throughput scenarios demanding top specs. The 56.3 TFLOPS and 960 GB/s bandwidth excel in LLM training with large batches, outperforming the RTX 4080 SUPER by processing data 34 percent faster. Newer Blackwell architecture ensures compatibility with future AI frameworks.
Use Cases
The RTX 5080's 960 GB/s bandwidth supports larger batch sizes essential for efficient LLM training. Its 56.3 TFLOPS exceeds the RTX 4080 SUPER's 48.7 TFLOPS for faster convergence.
Both GPUs offer 16 GB VRAM sufficient for most inference needs. Compute differences matter less here than cost, with RTX 4080 SUPER at $0.17 per hour versus $0.25.
RTX 4080 SUPER provides 48.7 TFLOPS at lower $0.17 per hour pricing ideal for iterative fine-tuning. Bandwidth of 717 GB/s handles common model sizes effectively.
Higher 56.3 TFLOPS on RTX 5080 speeds up image generation iterations. GDDR7 memory at 960 GB/s reduces latency in diffusion processes.
FP32 performance matches at 48.7 TFLOPS on A and 56.3 on B, but similar VRAM suits simulations. Choose based on budget and power limits.
Frequently Asked Questions
Which GPU has higher performance: RTX 4080 SUPER or RTX 5080?▾
The RTX 5080 leads with 56.3 TFLOPS in FP16 and FP32 versus 48.7 TFLOPS on the RTX 4080 SUPER. This 15.6 percent gain translates to faster AI workloads.
What is the VRAM difference between RTX 4080 SUPER and RTX 5080?▾
Both provide 16 GB VRAM, but RTX 5080 uses GDDR7 while RTX 4080 SUPER has GDDR6X. Bandwidth differs at 960 GB/s versus 717 GB/s.
How do power requirements compare?▾
RTX 4080 SUPER consumes 320 W TDP, lower than RTX 5080's 360 W. This makes A preferable for power-constrained cloud setups.
What are the cloud pricing differences?▾
RTX 4080 SUPER starts at $0.17 per hour average $0.32 across three offers. RTX 5080 begins at $0.25 per hour average $0.38 across four offers.
Is RTX 5080 worth the upgrade from RTX 4080 SUPER?▾
For memory-heavy tasks, yes: 960 GB/s bandwidth beats 717 GB/s for larger batches. Compute uplift to 56.3 TFLOPS aids training efficiency.
Which architecture do they use?▾
RTX 4080 SUPER employs Ada Lovelace from 2022. RTX 5080 adopts Blackwell from 2025 for advanced tensor operations.
Which is cheaper to rent, the RTX 4080 or the RTX 5080?▾
Cloud rental prices for both the RTX 4080 and RTX 5080 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 RTX 5080?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find RTX 4080 and RTX 5080 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 RTX 5080?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 1.2x the FP16 throughput and 1.3x the memory bandwidth of the RTX 4080.