Specifications Compared
| Spec | RTX-4080 | RTX-A4000 |
|---|---|---|
| TDP | 320W | 140W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 9,728 | 6,144 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 192 |
| FP16 Performance | 48.7 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 19.2 TFLOPS |
| INT8 Performance | 780 TOPS | |
| Memory Bandwidth | 717 GB/s | 448 GB/s |
Performance Analysis
Compute superiority favors the RTX 4080 decisively: 48.7 TFLOPS FP16 accelerates training 153 percent faster than A4500's 19.2 TFLOPS, streamlining deep learning pipelines reliant on half-precision. FP32 matches this ratio, enhancing inference accuracy and scientific computations. Higher throughput shortens iteration cycles in model development.
Memory bandwidth shapes workload viability: RTX 4080's 717 GB/s sustains larger batch sizes during training, minimizing memory bottlenecks versus A4500's 448 GB/s. This proves essential for LLMs where elevated batches optimize utilization and throughput. A4500's 140 W TDP supports power-constrained environments, enabling more GPUs per node for distributed inference.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080
| 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 A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the RTX 4080
The RTX 4080 suits high-performance demands. Its 48.7 TFLOPS and 717 GB/s bandwidth excel in LLM training and Stable Diffusion, outperforming A4500 by 153 percent in compute-intensive phases. Users accept 320 W TDP for rapid results when average $0.26 per hour pricing fits budgets prioritizing velocity.
When to Choose the RTX A4500
Opt for RTX A4500 in efficiency-driven scenarios. 140 W TDP facilitates dense multi-GPU clusters for fine-tuning or scientific computing, where 19.2 TFLOPS meets requirements without excess power. Lower pricing from $0.10 per hour averaging $0.19 delivers value for scaled, moderate-throughput operations.
Use Cases
RTX 4080's 48.7 TFLOPS FP16 provides 153 percent more throughput than A4500's 19.2 TFLOPS, slashing training durations on large models.
717 GB/s bandwidth on RTX 4080 enables larger batches for low-latency serving. A4500's 448 GB/s limits scale in high-demand inference.
A4500's 19.2 TFLOPS and $0.19 average hourly cost suffice for fine-tuning. Lower 140 W TDP aids prolonged sessions.
Ada Lovelace architecture with 48.7 TFLOPS accelerates image generation significantly over A4500's Ampere limits.
Both share 16 GB VRAM for simulations. Select RTX 4080 for speed via 717 GB/s bandwidth or A4500 for 140 W efficiency.
Frequently Asked Questions
What are the FP32 performance figures for RTX 4080 and RTX A4500?▾
RTX 4080 delivers 48.7 TFLOPS FP32. RTX A4500 achieves 19.2 TFLOPS FP32. RTX 4080 offers 153 percent higher throughput for compute tasks.
How do memory bandwidths compare?▾
RTX 4080 provides 717 GB/s with GDDR6X. RTX A4500 has 448 GB/s with GDDR6. The difference supports larger batches on RTX 4080.
What are the power consumption ratings?▾
RTX 4080 TDP is 320 W. RTX A4500 TDP is 140 W. Lower TDP on A4500 enables better density in cloud deployments.
Current cloud pricing for each GPU?▾
RTX 4080 starts at $0.11 per hour, averaging $0.26 across five offers. RTX A4500 starts at $0.10 per hour, averaging $0.19 across four offers.
Do they have the same VRAM capacity?▾
Both feature 16 GB VRAM. RTX 4080 uses GDDR6X; RTX A4500 uses GDDR6. Capacity suits mid-scale AI models equally.
Which architecture is newer?▾
RTX 4080 employs Ada Lovelace from 2022. RTX A4500 uses Ampere from 2021. Newer architecture brings efficiency gains to RTX 4080.
Which is cheaper to rent, the RTX 4080 or the RTX A4000?▾
Cloud rental prices for both the RTX 4080 and RTX A4000 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 A4000?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 4080 and RTX A4000 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 A4000?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX A4000 uses Ampere (2021). The RTX 4080 delivers 2.5x the FP16 throughput and 1.6x the memory bandwidth of the RTX A4000.