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's FP16 throughput of 312 TFLOPS vastly outpaces the RTX 2080 Ti's 10.1 TFLOPS, enabling faster training of deep learning models that leverage half-precision arithmetic common in modern frameworks. For inference, this delta supports higher throughput on large models, reducing latency in production deployments. FP32 performance of 19.5 TFLOPS on the A100 versus 10.1 TFLOPS on the RTX 2080 Ti benefits single-precision tasks like scientific simulations. Memory bandwidth of 2039 GB/s on the A100 allows larger batch sizes without bottlenecks, accommodating models exceeding 11 GB VRAM limits of the RTX 2080 Ti. The RTX 2080 Ti's 616 GB/s bandwidth suits smaller datasets but struggles with data-intensive workloads. Power draw differs at 400W TDP for the A100 and 215W for the RTX 2080 Ti, influencing cloud instance efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 397GB Storage | Slovenia | $0.73/GPU/hr | 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | 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×) | |||
Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
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 SXM4 80GB
Choose the A100 SXM4 80GB for large-scale AI training where 80 GB HBM2e VRAM handles massive models and datasets. Its 312 TFLOPS FP16 performance accelerates LLM fine-tuning and inference at scale. High memory bandwidth of 2039 GB/s supports enterprise deployments requiring NVLink interconnects.
When to Choose the RTX 2080 Ti
Opt for the RTX 2080 Ti in budget-constrained prototyping or gaming workloads, with pricing from $0.06 per hour. Its 11 GB GDDR6 VRAM suffices for Stable Diffusion or small inference tasks at 10.1 TFLOPS FP16. Lower 215W TDP fits lightweight cloud instances.
Use Cases
The A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 handle massive language models during training. The RTX 2080 Ti's 11 GB limit causes out-of-memory errors on similar scales.
A100 supports high-throughput inference with 2039 GB/s bandwidth for large batches. RTX 2080 Ti manages small models but falters on VRAM-intensive deployments.
Fine-tuning benefits from A100's 19.5 TFLOPS FP32 and ample VRAM for parameter-efficient methods. RTX 2080 Ti suffices only for tiny datasets.
RTX 2080 Ti's 10.1 TFLOPS FP16 generates images efficiently within 11 GB VRAM. A100 overkill raises costs unnecessarily for this task.
A100's 400W TDP and NVLink excel in parallel simulations needing 2039 GB/s bandwidth. RTX 2080 Ti lacks scale for complex computations.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 80GB and RTX 2080 Ti?▾
The A100 provides 80 GB HBM2e VRAM, while the RTX 2080 Ti offers 11 GB GDDR6. This gap allows A100 to load much larger models without swapping. Bandwidth follows at 2039 GB/s versus 616 GB/s.
How do FP16 performances compare?▾
A100 achieves 312 TFLOPS in FP16, far exceeding RTX 2080 Ti's 10.1 TFLOPS. This accelerates AI training and inference significantly. Real-world speedups reach 30x in half-precision tasks.
Which is cheaper in the cloud?▾
RTX 2080 Ti starts at $0.06 per hour, averaging $0.11 across 6 offers. A100 begins at $0.79 per hour, averaging $1.46 across 22 offers. Budget tasks favor the Ti.
Can RTX 2080 Ti handle LLM inference?▾
RTX 2080 Ti works for small LLMs within 11 GB VRAM at 10.1 TFLOPS FP16. Larger models require A100's 80 GB capacity. Batch sizes remain limited on Ti.
What architectures do they use?▾
A100 employs Ampere from 2020 with datacenter optimizations. RTX 2080 Ti uses Turing from 2018 for gaming. A100 includes NVLink, absent on Ti.
Compare their power consumption.▾
A100 draws 400W TDP, suiting high-performance racks. RTX 2080 Ti uses 215W, ideal for consumer setups. This affects cloud cooling and instance costs.
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.