Specifications Compared
| Spec | A100 | RTX-2060 |
|---|---|---|
| TDP | 400W | 160W |
| VRAM | 40-80 GB | 6-12 GB |
| CUDA Cores | 6,912 | 1,920 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 240 |
| FP16 Performance | 312 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 336 GB/s |
Performance Analysis
Memory capacity defines workload feasibility: A100's 40 GB HBM2e supports massive models that exceed RTX 2060's 6-12 GB GDDR6 limit. Bandwidth disparity of 2039 GB/s on A100 versus 336 GB/s on RTX 2060 enables larger batch sizes, reducing training time for deep learning by allowing more data per iteration without overflow.
FP16 performance at 312 TFLOPS on A100 accelerates mixed-precision training common in large language models, far surpassing RTX 2060's 6.5 TFLOPS. The A100's FP32 at 19.5 TFLOPS maintains strong single-precision compute for scientific simulations, while RTX 2060 matches its FP16 at 6.5 TFLOPS, suiting graphics but not scaled AI. This tensor core advantage on A100 boosts inference throughput by up to 48 times in half-precision tasks.
TDP impacts deployment: A100's 400W demands robust cooling and power, ideal for clusters, whereas RTX 2060's 160W enables efficient single-node use. Interconnects like NVLink on A100 scale multi-GPU training, absent on RTX 2060.
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 557GB Storage | Czechia | $1.00/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×) |
When to Choose the A100 PCIe 40GB
Choose the A100 PCIe 40GB for large-scale AI training where 40 GB VRAM handles models exceeding 12 GB, such as full LLM pretraining. Its 312 TFLOPS FP16 performance cuts epochs dramatically compared to RTX 2060's 6.5 TFLOPS.
Enterprise HPC benefits from 2039 GB/s bandwidth for simulations with batch sizes over 128, and NVLink for multi-GPU scaling unavailable on RTX 2060.
When to Choose the RTX 2060
The RTX 2060 suits budget-conscious users for gaming or lightweight inference at $0.02 per hour starting price. Its 6-12 GB GDDR6 manages small models or Stable Diffusion with 6.5 TFLOPS FP16.
Low 160W TDP fits edge deployments or personal cloud instances where A100's 400W and $0.60 per hour minimum prove excessive.
Use Cases
A100's 40 GB HBM2e VRAM and 312 TFLOPS FP16 support billion-parameter models with large batches. RTX 2060's 6-12 GB GDDR6 cannot load such datasets.
High 2039 GB/s bandwidth on A100 enables high-throughput serving for multiple users. RTX 2060's 336 GB/s limits concurrent requests.
Smaller models fit RTX 2060's 6-12 GB VRAM at low cost of $0.02 per hour. A100 excels for parameter-efficient methods needing 19.5 TFLOPS FP32.
RTX 2060's 6.5 TFLOPS FP16 generates images efficiently on 6-12 GB VRAM. A100's power at 400W TDP is overkill for single-user creative tasks.
A100's 19.5 TFLOPS FP32 and NVLink handle parallel simulations. RTX 2060 lacks interconnects for scaled computations.
Frequently Asked Questions
Which has more VRAM: A100 PCIe 40GB or RTX 2060?▾
The A100 PCIe 40GB provides 40 GB HBM2e VRAM. RTX 2060 offers 6-12 GB GDDR6, limiting it to smaller models.
How do FP16 performances compare?▾
A100 achieves 312 TFLOPS in FP16 for rapid AI training. RTX 2060 delivers 6.5 TFLOPS, suitable for basic inference.
What is the price difference in cloud rentals?▾
A100 PCIe 40GB starts at $0.60 per hour, averaging $1.85 across 11 offers. RTX 2060 begins at $0.02 per hour, averaging $0.04 across 2 offers.
Which GPU has higher memory bandwidth?▾
A100 offers 2039 GB/s, supporting large batch sizes. RTX 2060 provides 336 GB/s for consumer tasks.
What are the TDP ratings?▾
A100 requires 400W TDP for datacenter use. RTX 2060 uses 160W, ideal for lower-power setups.
Can RTX 2060 handle LLM fine-tuning?▾
RTX 2060 manages fine-tuning on models under 12 GB VRAM with 6.5 TFLOPS FP16. Larger tasks demand A100's 40 GB and higher compute.
Which is cheaper to rent, the A100 or the RTX 2060?▾
Cloud rental prices for both the A100 and RTX 2060 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 2060?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find A100 and RTX 2060 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 2060?▾
The A100 uses the Ampere architecture (2020) while the RTX 2060 uses Turing (2019). The A100 delivers 48.0x the FP16 throughput and 6.1x the memory bandwidth of the RTX 2060.