Specifications Compared
| Spec | RTX-2080 | RTX-A2000 |
|---|---|---|
| TDP | 215W | 70W |
| VRAM | 8-11 GB | 6-12 GB |
| CUDA Cores | 2,944 | 3,328 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 368 | 104 |
| FP16 Performance | 10.1 TFLOPS | 8 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 8 TFLOPS |
| Memory Bandwidth | 616 GB/s | 288 GB/s |
Performance Analysis
Superior FP16 and FP32 performance defines the RTX 2080 Ti: 10.1 TFLOPS in each exceeds the RTX A2000's 8 TFLOPS by 26 percent, accelerating training cycles and inference latency in compute-intensive deep learning models. For LLM training, this edge shortens wall-clock time on forward-backward passes; inference benefits similarly in token generation rates.
Memory bandwidth presents the starkest divide: the RTX 2080 Ti's 616 GB/s doubles the RTX A2000's 288 GB/s, supporting batch sizes up to twice as large before VRAM limits hit in memory-bound workloads like fine-tuning transformers. High-bandwidth sustains data movement for Stable Diffusion pipelines without throttling.
TDP impacts deployment density: the RTX A2000's 70 W enables four times more GPUs per kilowatt than the RTX 2080 Ti's 215 W, ideal for scalable inference farms despite Ampere's efficiency gains in newer software stacks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
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 2080 Ti
Select the RTX 2080 Ti for workloads prioritizing raw throughput, such as mid-scale LLM training or high-resolution Stable Diffusion generation, where 10.1 TFLOPS FP32 and 616 GB/s bandwidth outperform the RTX A2000 by 26 percent and 114 percent respectively. Its lower average cloud pricing of $0.11 per hour across more offers enhances cost efficiency for bursty compute needs.
The RTX 2080 Ti suits environments with ample power headroom and NVLink for multi-GPU scaling in scientific simulations.
When to Choose the RTX A2000
The RTX A2000 fits power-limited or dense deployments, like edge inference servers, with 70 W TDP versus the RTX 2080 Ti's 215 W, allowing three times higher GPU density per rack. Ampere architecture ensures better compatibility with current CUDA libraries for fine-tuning tasks.
Choose it when VRAM flexibility up to 12 GB and lower per-GPU heat matter more than peak bandwidth.
Use Cases
RTX 2080 Ti's 10.1 TFLOPS FP16/FP32 and 616 GB/s bandwidth enable larger batches and 26 percent faster training than A2000's 8 TFLOPS and 288 GB/s.
RTX A2000's 70 W TDP supports dense scaling for high-query inference, with Ampere optimizations offsetting lower 8 TFLOPS compute.
Higher 616 GB/s bandwidth on RTX 2080 Ti handles memory-intensive fine-tuning batches better than A2000's 288 GB/s.
RTX 2080 Ti's 10.1 TFLOPS and 616 GB/s bandwidth accelerate image generation pipelines 26 percent faster than A2000.
NVLink interconnect and 10.1 TFLOPS FP32 on RTX 2080 Ti enhance multi-GPU simulations over A2000's lack thereof.
Frequently Asked Questions
Which GPU has more memory bandwidth: RTX 2080 Ti or RTX A2000?▾
The RTX 2080 Ti achieves 616 GB/s memory bandwidth, more than double the RTX A2000's 288 GB/s. This supports larger batch sizes in training and inference. Higher bandwidth reduces data transfer bottlenecks in memory-bound tasks.
What are the cloud pricing differences between RTX 2080 Ti and RTX A2000?▾
RTX 2080 Ti starts at $0.06 per hour with an average of $0.11 across 6 offers, while RTX A2000 also starts at $0.06 but averages $0.23 across 3 offers. The RTX 2080 Ti provides better average value. More offers increase availability for the RTX 2080 Ti.
How do FP32 performance levels compare?▾
RTX 2080 Ti delivers 10.1 TFLOPS FP32, surpassing RTX A2000's 8 TFLOPS by 26 percent. This boosts training speed in FP32-dominant workloads. Inference also sees proportional gains.
Which has lower power consumption?▾
RTX A2000 uses 70 W TDP, one-third of RTX 2080 Ti's 215 W. Lower TDP enables higher density in multi-GPU setups. It suits power-constrained cloud instances.
What VRAM options do they offer?▾
RTX 2080 Ti provides 8 to 11 GB GDDR6, while RTX A2000 offers 6 to 12 GB GDDR6. A2000's upper end matches larger models. Both handle mid-scale ML tasks effectively.
Does RTX 2080 Ti support NVLink?▾
RTX 2080 Ti includes NVLink interconnect for multi-GPU communication, absent on RTX A2000. This aids scaling in scientific computing. PCIe form factor is common to both.
Which is cheaper to rent, the RTX 2080 or the RTX A2000?▾
Cloud rental prices for both the RTX 2080 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 2080 have compared to the RTX A2000?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find RTX 2080 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 2080 and the RTX A2000?▾
The RTX 2080 uses the Turing architecture (2018) while the RTX A2000 uses Ampere (2021). The RTX 2080 delivers 1.3x the FP16 throughput and 2.1x the memory bandwidth of the RTX A2000.

