Specifications Compared
| Spec | A100 | RTX-2080 |
|---|---|---|
| TDP | 400W | 215W |
| VRAM | 40-80 GB | 8-11 GB |
| CUDA Cores | 6,912 | 2,944 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink |
| Tensor Cores | 432 | 368 |
| FP16 Performance | 312 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 616 GB/s |
Performance Analysis
The A100 PCIe 80GB dominates in compute-intensive workloads due to its 312 TFLOPS FP16 performance: this enables rapid matrix operations in neural network training, where the RTX 2080 Ti's 10.1 TFLOPS limits scalability. FP32 at 19.5 TFLOPS on the A100 supports general simulation tasks better than the 2080 Ti's matching 10.1 TFLOPS. The FP16 to FP32 ratio on the A100 favors half-precision training common in AI, while the 2080 Ti's parity suits graphics rendering.
Memory bandwidth of 2039 GB/s on the A100 allows massive batch sizes in training, reducing iterations and time: for instance, models requiring over 11 GB VRAM fail on the 2080 Ti. The 616 GB/s on the 2080 Ti suffices for smaller inference but bottlenecks large datasets. Power draw at 400W TDP for A100 demands robust cooling versus 215W for 2080 Ti, impacting deployment density.
Interconnects highlight enterprise readiness: A100 supports NVLink, PCIe 4.0, and InfiniBand for multi-GPU scaling, outpacing the 2080 Ti's NVLink alone.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
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 |
When to Choose the A100 PCIe 80GB
Select the A100 PCIe 80GB for large-scale AI training and inference where 80 GB HBM2e VRAM handles models exceeding 11 GB. Its 312 TFLOPS FP16 accelerates LLM fine-tuning, and 2039 GB/s bandwidth supports batch sizes impossible on the 2080 Ti. Cloud pricing from $0.89 per hour suits professional workflows needing NVLink scaling.
When to Choose the RTX 2080 Ti
The RTX 2080 Ti fits budget-conscious users for light inference or gaming with 11 GB GDDR6 VRAM at 616 GB/s bandwidth. Its 10.1 TFLOPS FP32/FP16 performs adequately for Stable Diffusion or small fine-tuning, and low $0.06 per hour pricing across 6 offers minimizes costs. PCIe form factor simplifies consumer setups without InfiniBand needs.
Use Cases
The A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 support massive parameter models with large batches. The 2080 Ti's 11 GB limits scale.
2039 GB/s bandwidth on A100 handles high-throughput serving. 2080 Ti's 616 GB/s suits low-volume only.
A100's FP16 advantage accelerates iterations on datasets over 11 GB. 2080 Ti works for tiny models.
RTX 2080 Ti's 11 GB GDDR6 and 10.1 TFLOPS FP16 generate images efficiently at $0.06 per hour. A100 overkill for single-user tasks.
19.5 TFLOPS FP32 and PCIe 4.0 on A100 speed simulations. 2080 Ti's lower specs constrain complex computations.
Frequently Asked Questions
Which has more VRAM: A100 PCIe 80GB or RTX 2080 Ti?▾
The A100 PCIe 80GB provides 80 GB HBM2e VRAM. The RTX 2080 Ti offers 11 GB GDDR6. This sevenfold difference allows A100 to load larger AI models.
How do FP16 performances compare?▾
A100 delivers 312 TFLOPS FP16. RTX 2080 Ti achieves 10.1 TFLOPS. A100 excels over 30 times faster in half-precision ML training.
What are the cloud rental prices?▾
A100 PCIe 80GB starts at $0.89 per hour, averaging $2.08 across 28 offers. RTX 2080 Ti begins at $0.06 per hour, averaging $0.11 across 6 offers.
Is A100 better for multi-GPU setups?▾
A100 supports NVLink, PCIe 4.0, and InfiniBand for scaling. RTX 2080 Ti relies on NVLink alone. A100 scales enterprise clusters better.
Which has higher memory bandwidth?▾
A100 offers 2039 GB/s. RTX 2080 Ti provides 616 GB/s. A100's bandwidth supports larger batches in training.
What is the TDP difference?▾
A100 requires 400W TDP. RTX 2080 Ti uses 215W. Lower TDP makes 2080 Ti easier for power-constrained environments.
Which is cheaper to rent, the A100 or the RTX 2080?▾
Cloud rental prices for both the A100 and RTX 2080 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 A100 have compared to the RTX 2080?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find A100 and RTX 2080 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 A100 and the RTX 2080?▾
The A100 uses the Ampere architecture (2020) while the RTX 2080 uses Turing (2018). The A100 delivers 30.9x the FP16 throughput and 3.3x the memory bandwidth of the RTX 2080.