Specifications Compared
| Spec | RTX-4080 | RTX-A2000 |
|---|---|---|
| TDP | 320W | 70W |
| VRAM | 16 GB | 6-12 GB |
| CUDA Cores | 9,728 | 3,328 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 304 | 104 |
| FP16 Performance | 48.7 TFLOPS | 8 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 8 TFLOPS |
| INT8 Performance | 780 TOPS | |
| Memory Bandwidth | 717 GB/s | 288 GB/s |
Performance Analysis
Superior FP16 and FP32 performance defines the RTX 4080 SUPER at 48.7 TFLOPS each: this accelerates neural network training through faster tensor operations and supports high-precision inference. The RTX A2000's 8 TFLOPS limits it to smaller models or slower iterations, extending runtimes significantly for equivalent tasks.
Memory bandwidth impacts data flow directly: RTX 4080 SUPER's 717 GB/s enables large batch sizes in training loops, reducing overhead and maximizing utilization. RTX A2000's 288 GB/s constrains batches, fitting modest inference but bottlenecking intensive pipelines. TDP varies from 320W on RTX 4080 SUPER to 70W on RTX A2000, influencing scalability in power-limited clouds.
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 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 4080 SUPER
RTX 4080 SUPER suits high-throughput AI workloads: its 16 GB VRAM and 48.7 TFLOPS handle large language model training or Stable Diffusion at scale. Users prioritizing speed over cost select it for $0.17 per hour starting price when 717 GB/s bandwidth boosts batch processing.
Inference on complex models benefits from Ada Lovelace efficiency, completing jobs faster than Ampere alternatives.
When to Choose the RTX A2000
RTX A2000 fits cost-sensitive or low-power environments: 70W TDP enables dense deployments, and $0.06 per hour pricing supports prototyping or small inference tasks. Its 6-12 GB VRAM suffices for lightweight fine-tuning without excess capacity.
Edge computing or budget ML experiments favor it over higher-TDP options.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS and 16 GB VRAM manage billion-parameter models effectively. RTX A2000's 8 TFLOPS and 6-12 GB VRAM fall short for large-scale training.
High 717 GB/s bandwidth on RTX 4080 SUPER supports large batches for low-latency serving. RTX A2000's 288 GB/s suits only smaller deployments.
RTX 4080 SUPER accelerates with 48.7 TFLOPS for quick iterations; RTX A2000's 8 TFLOPS works for modest datasets at lower $0.06 per hour cost.
16 GB VRAM and 48.7 TFLOPS on RTX 4080 SUPER enable high-resolution image generation rapidly. RTX A2000 limits outputs due to lower specs.
RTX A2000's 70W TDP and 8 TFLOPS fit power-constrained simulations efficiently. RTX 4080 SUPER's 320W proves excessive for many serial tasks.
Frequently Asked Questions
Which GPU has higher performance RTX 4080 SUPER or RTX A2000?▾
RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32. RTX A2000 delivers 8 TFLOPS in both, making RTX 4080 SUPER over six times faster for compute tasks.
What is the VRAM difference between RTX 4080 SUPER and RTX A2000?▾
RTX 4080 SUPER provides 16 GB GDDR6X VRAM. RTX A2000 offers 6-12 GB GDDR6, limiting it for memory-intensive models.
How do cloud prices compare for these GPUs?▾
RTX 4080 SUPER starts at $0.17 per hour averaging $0.32 across three offers. RTX A2000 begins at $0.06 per hour averaging $0.23 over three offers.
Which has better memory bandwidth RTX 4080 SUPER or A2000?▾
RTX 4080 SUPER reaches 717 GB/s bandwidth. RTX A2000 provides 288 GB/s, allowing smaller batch sizes on the latter.
What are the power requirements?▾
RTX 4080 SUPER consumes 320W TDP. RTX A2000 uses 70W, suiting low-power setups.
Are both GPUs PCIe compatible?▾
Both support PCIe form factors. This ensures broad cloud provider compatibility without adapter needs.
Which is cheaper to rent, the RTX 4080 or the RTX A2000?▾
Cloud rental prices for both the RTX 4080 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 4080 have compared to the RTX A2000?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find RTX 4080 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 4080 and the RTX A2000?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX A2000 uses Ampere (2021). The RTX 4080 delivers 6.1x the FP16 throughput and 2.5x the memory bandwidth of the RTX A2000.