Specifications Compared
| Spec | RTX-5080 | RTX-A2000 |
|---|---|---|
| TDP | 360W | 70W |
| VRAM | 16 GB | 6-12 GB |
| CUDA Cores | 10,752 | 3,328 |
| Memory Type | GDDR7 | GDDR6 |
| Architecture | Blackwell | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 336 | 104 |
| FP16 Performance | 56.3 TFLOPS | 8 TFLOPS |
| FP32 Performance | 56.3 TFLOPS | 8 TFLOPS |
| INT8 Performance | 900 TOPS | |
| Memory Bandwidth | 960 GB/s | 288 GB/s |
Performance Analysis
Compute capabilities separate these GPUs decisively: the RTX 5080 achieves 56.3 TFLOPS in both FP16 and FP32, surpassing the RTX A2000's 8 TFLOPS by over seven times. This gap accelerates machine learning training, where FP16 handles mixed-precision computations efficiently, and FP32 ensures precise scientific simulations. Inference benefits similarly, as higher TFLOPS reduce latency for real-time predictions.
Memory specifications amplify advantages for the RTX 5080: 16 GB GDDR7 VRAM and 960 GB/s bandwidth enable larger batch sizes in training, supporting models that exceed the RTX A2000's 6 to 12 GB GDDR6 and 288 GB/s limits. Constrained bandwidth on the A2000 restricts dataset scales, often requiring model sharding or reduced batches.
Power demands reflect priorities: the RTX 5080's 360 W TDP suits high-throughput environments, while the A2000's 70 W TDP favors efficiency in multi-GPU or edge setups. These specs translate to real-world trade-offs in cloud scaling.
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 |
RTX A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 5080
Users pursuing large-scale model training choose the RTX 5080 for its 56.3 TFLOPS FP32 performance, which processes iterations over seven times faster than the RTX A2000's 8 TFLOPS. The 16 GB VRAM accommodates extensive datasets without frequent swapping.
High-bandwidth inference workloads benefit from 960 GB/s throughput, enabling low-latency serving of complex models unattainable on the A2000's 288 GB/s.
When to Choose the RTX A2000
Cost-sensitive deployments opt for the RTX A2000, available from $0.06 per hour versus the RTX 5080's $0.25 per hour. Its 70 W TDP integrates easily into power-limited clusters.
Lightweight inference or prototyping suits the 8 TFLOPS capability and 6 to 12 GB VRAM, where full RTX 5080 performance proves unnecessary.
Use Cases
The RTX 5080's 56.3 TFLOPS FP16 performance and 16 GB VRAM handle massive language models far better than the RTX A2000's 8 TFLOPS and 6 to 12 GB limits.
Higher 960 GB/s bandwidth on the RTX 5080 supports faster token generation for production serving, exceeding the RTX A2000's 288 GB/s capacity.
RTX 5080's 56.3 TFLOPS FP32 and 16 GB VRAM enable efficient adaptation of large models, avoiding constraints of the A2000's 8 TFLOPS and smaller memory.
16 GB VRAM and 56.3 TFLOPS on RTX 5080 generate higher-resolution images quicker than the RTX A2000's 6 to 12 GB and 8 TFLOPS.
RTX 5080 excels in compute-intensive simulations with 56.3 TFLOPS FP32; RTX A2000 suffices for lighter tasks at 70 W TDP and lower $0.06 per hour cost.
Frequently Asked Questions
What is the FP32 performance difference between RTX 5080 and RTX A2000?▾
The RTX 5080 delivers 56.3 TFLOPS FP32, over seven times the RTX A2000's 8 TFLOPS. This boosts training and simulation speeds significantly. FP16 matches at 56.3 TFLOPS versus 8 TFLOPS.
Which GPU has more VRAM?▾
RTX 5080 provides 16 GB GDDR7 VRAM, exceeding the RTX A2000's 6 to 12 GB GDDR6. Larger capacity supports bigger models and batches. Bandwidth reaches 960 GB/s on RTX 5080 versus 288 GB/s.
How do power requirements compare?▾
RTX 5080 demands 360 W TDP, suited for high-performance setups. RTX A2000 uses only 70 W TDP for efficient, multi-GPU use. Lower power aids edge deployments.
What are the current cloud pricing differences?▾
RTX 5080 starts from $0.25 per hour, averaging $0.38 per hour across four offers. RTX A2000 begins at $0.06 per hour, averaging $0.23 per hour across three offers. Prices reflect performance tiers.
Which is better for AI training?▾
RTX 5080 excels with 56.3 TFLOPS and 16 GB VRAM for large-scale training. RTX A2000's 8 TFLOPS limits it to smaller jobs. Bandwidth of 960 GB/s versus 288 GB/s aids batch processing.
What architectures do they use?▾
RTX 5080 employs Blackwell from 2025 for advanced features. RTX A2000 uses Ampere from 2021. Newer architecture yields higher 56.3 TFLOPS over 8 TFLOPS.
Which is cheaper to rent, the RTX 5080 or the RTX A2000?▾
Cloud rental prices for both the RTX 5080 and RTX A2000 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 RTX A2000?▾
The RTX 5080 has 16 GB of GDDR7 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find RTX 5080 and RTX A2000 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 RTX A2000?▾
The RTX 5080 uses the Blackwell architecture (2025) while the RTX A2000 uses Ampere (2021). The RTX 5080 delivers 7.0x the FP16 throughput and 3.3x the memory bandwidth of the RTX A2000.