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's 10.1 TFLOPS: this enables faster training of deep learning models using half-precision arithmetic, reducing epochs from days to hours on large datasets. In FP32, A100's 19.5 TFLOPS doubles RTX 2080's 10.1 TFLOPS, benefiting inference tasks requiring full precision like scientific computing or certain simulations.
Memory capacity and speed define workload feasibility: A100's 40 GB HBM2e supports massive batch sizes for LLMs, while RTX 2080's 8-11 GB GDDR6 necessitates model sharding or downsizing. The 2039 GB/s bandwidth on A100 minimizes data transfer bottlenecks versus 616 GB/s on RTX 2080, accelerating gradient computations in training and lowering latency in real-time inference.
Interconnect options further A100's enterprise edge: NVLink, PCIe 4.0, and InfiniBand facilitate multi-GPU scaling, absent in RTX 2080's PCIe-only setup. These specs translate to A100 handling production-scale AI, while RTX 2080 fits prototyping.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 40GB
| 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 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 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
| 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 40GB
Select the A100 PCIe 40GB for intensive machine learning training: its 312 TFLOPS FP16 performance and 40 GB VRAM accommodate billion-parameter models without splitting across GPUs. NVLink and InfiniBand interconnects enable efficient multi-node clusters, ideal at $0.60/hr starting cloud rates for enterprise deployments.
High-bandwidth 2039 GB/s memory suits large-batch inference in production environments, where RTX 2080's limitations hinder scalability.
When to Choose the RTX 2080
Opt for the RTX 2080 in cost-sensitive prototyping: its $0.05/hr starting price delivers 10.1 TFLOPS FP16 for small-scale fine-tuning or Stable Diffusion on models under 8 GB VRAM. The 215W TDP supports low-power edge setups without extensive cooling.
It excels for hobbyist gaming or lightweight inference, where 616 GB/s bandwidth suffices for quick iterations.
Use Cases
A100's 312 TFLOPS FP16 and 40 GB HBM2e VRAM handle massive parameter counts and large batches; RTX 2080's 10.1 TFLOPS and 8 GB GDDR6 cannot scale similarly.
A100's 2039 GB/s bandwidth and 40 GB VRAM reduce latency for high-concurrency queries; RTX 2080's 616 GB/s limits throughput on larger models.
Smaller fine-tuning tasks fit RTX 2080's 8-11 GB VRAM at $0.05/hr; A100 accelerates larger adapters with 312 TFLOPS FP16.
RTX 2080's 10.1 TFLOPS FP16 generates images efficiently on 8 GB VRAM for personal use; A100 overkill at higher costs.
A100's 19.5 TFLOPS FP32 and PCIe 4.0 interconnect suit simulations; RTX 2080's matching 10.1 TFLOPS FP32 lacks datacenter features.
Frequently Asked Questions
What is the FP16 performance difference between A100 and RTX 2080?▾
A100 delivers 312 TFLOPS in FP16, while RTX 2080 provides 10.1 TFLOPS. This 30-fold gap accelerates AI training significantly on A100. Memory bandwidth of 2039 GB/s on A100 further enhances half-precision workloads.
How much VRAM do A100 PCIe 40GB and RTX 2080 have?▾
A100 PCIe 40GB offers 40 GB HBM2e VRAM; RTX 2080 has 8-11 GB GDDR6. The A100 supports larger models without quantization. RTX 2080 suits smaller datasets fitting under 11 GB.
What are the cloud rental prices for these GPUs?▾
A100 PCIe 40GB rents from $0.60/hr, averaging $1.85/hr across 11 offers. RTX 2080 starts at $0.05/hr, averaging $0.07/hr over 2 offers. Pricing reflects A100's datacenter capabilities.
Is A100 better for machine learning than RTX 2080?▾
A100 excels with 312 TFLOPS FP16 and 40 GB VRAM for training large models. RTX 2080's 10.1 TFLOPS limits it to prototyping. Bandwidth at 2039 GB/s on A100 handles bigger batches.
What is the power consumption of A100 vs RTX 2080?▾
A100 has a 400W TDP; RTX 2080 uses 215W. Lower TDP on RTX 2080 aids compact setups. A100's power supports sustained high loads like 19.5 TFLOPS FP32.
Can RTX 2080 handle LLM inference?▾
RTX 2080 manages small LLMs within 8 GB VRAM at 10.1 TFLOPS FP16. Larger models require A100's 40 GB and 2039 GB/s bandwidth. It fits low-volume inference economically.
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.