Specifications Compared
| Spec | RTX-4080 | RTX-A5000 |
|---|---|---|
| TDP | 320W | 230W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 9,728 | 8,192 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 304 | 256 |
| FP16 Performance | 48.7 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 27.8 TFLOPS |
| INT8 Performance | 780 TOPS | |
| Memory Bandwidth | 717 GB/s | 768 GB/s |
Performance Analysis
Raw compute power sets the RTX 4080 SUPER apart: 48.7 TFLOPS FP32 and FP16 enable it to complete model training iterations roughly 75 percent faster than the RTX A5000's 27.8 TFLOPS, based on the performance ratio. Inference benefits similarly, with reduced latency for real-time applications on the newer architecture.
Memory bandwidth and capacity influence workload feasibility. RTX A5000's 768 GB/s bandwidth and 24 GB VRAM accommodate larger batch sizes in memory-bound scenarios, such as fine-tuning large language models, compared to RTX 4080 SUPER's 717 GB/s and 16 GB. This allows RTX A5000 to process bigger datasets without splitting across GPUs.
Power efficiency tilts toward RTX A5000 at 230W TDP versus 320W, supporting denser cloud deployments, though RTX 4080 SUPER's PCIe form factor matches it for single-node use.
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 A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) |
When to Choose the RTX 4080 SUPER
Opt for RTX 4080 SUPER in compute-intensive scenarios like rapid prototyping or small-to-medium model training. Its 48.7 TFLOPS FP16 outperforms RTX A5000's 27.8 TFLOPS, cutting iteration times significantly. Lower starting cloud pricing at $0.17 per hour suits short bursts of high-speed work.
When to Choose the RTX A5000
Select RTX A5000 for memory-demanding tasks such as large-batch inference or multi-GPU setups. Its 24 GB VRAM exceeds RTX 4080 SUPER's 16 GB, enabling bigger models without quantization. NVLink interconnect and $0.02 per hour minimum pricing favor scalable, long-running jobs.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS FP16 doubles the speed of RTX A5000's 27.8 TFLOPS for faster convergence. Higher compute outweighs VRAM differences for typical batch sizes.
RTX A5000's 24 GB VRAM supports larger models and batches than RTX 4080 SUPER's 16 GB. Its 768 GB/s bandwidth sustains high throughput for serving.
RTX 4080 SUPER excels in speed with 48.7 TFLOPS, while RTX A5000 handles bigger datasets via 24 GB VRAM. Choice depends on model size and timeline.
RTX 4080 SUPER's Ada architecture and 48.7 TFLOPS generate images faster than RTX A5000's 27.8 TFLOPS. 16 GB VRAM suffices for standard resolutions.
RTX A5000's NVLink and 24 GB VRAM enable multi-GPU simulations better than RTX 4080 SUPER's PCIe setup. Lower 230W TDP aids prolonged runs.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4080 SUPER or RTX A5000?▾
RTX A5000 provides 24 GB GDDR6 VRAM, exceeding RTX 4080 SUPER's 16 GB GDDR6X. This advantage supports larger models in inference tasks. Bandwidth is also higher at 768 GB/s versus 717 GB/s.
RTX 4080 SUPER vs RTX A5000: which is faster for AI training?▾
RTX 4080 SUPER leads with 48.7 TFLOPS FP16 and FP32, compared to RTX A5000's 27.8 TFLOPS. Training times reduce by about 75 percent on the newer GPU. Architecture improvements amplify this in practice.
What are the cloud prices for RTX 4080 SUPER and RTX A5000?▾
RTX 4080 SUPER starts at $0.17 per hour, averaging $0.32 per hour across three offers. RTX A5000 begins at $0.02 per hour, averaging $0.42 per hour with 34 offers. Availability favors RTX A5000.
Does RTX A5000 support NVLink?▾
RTX A5000 includes NVLink interconnect for multi-GPU communication, unlike RTX 4080 SUPER's PCIe-only setup. This boosts scalability in clusters. VRAM at 24 GB complements pooled memory.
Which has lower power consumption?▾
RTX A5000 draws 230W TDP, lower than RTX 4080 SUPER's 320W. This enables more GPUs per server rack. Efficiency suits sustained workloads.
RTX 4080 SUPER architecture vs RTX A5000?▾
RTX 4080 SUPER uses 2022 Ada Lovelace, while RTX A5000 runs 2021 Ampere. Ada delivers 48.7 TFLOPS FP32 versus 27.8 TFLOPS. Newer design enhances tensor core efficiency.
Which is cheaper to rent, the RTX 4080 or the RTX A5000?▾
Cloud rental prices for both the RTX 4080 and RTX A5000 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 A5000?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find RTX 4080 and RTX A5000 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 A5000?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX A5000 uses Ampere (2021). The RTX 4080 delivers 1.8x the FP16 throughput and 1.1x the memory bandwidth of the RTX A5000.