Specifications Compared
| Spec | A100 | RTX-2000-ADA |
|---|---|---|
| TDP | 400W | 70W |
| VRAM | 40-80 GB | 16 GB |
| CUDA Cores | 6,912 | 2,816 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 88 |
| FP16 Performance | 312 TFLOPS | 12 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 12 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 192 TOPS |
| Memory Bandwidth | 2,039 GB/s | 288 GB/s |
Performance Analysis
The A100 demonstrates overwhelming superiority in compute performance: its FP16 throughput of 312 TFLOPS vastly outpaces the RTX 2000 Ada's 12 TFLOPS, enabling up to 26 times faster half-precision operations critical for neural network training. FP32 performance further favors the A100 at 19.5 TFLOPS over 12 TFLOPS, benefiting single-precision scientific simulations and certain inference pipelines. These metrics translate to accelerated model convergence during training phases where FP16 dominates.
Memory specifications decisively advantage the A100 for real-world workloads. With 80 GB HBM2e VRAM, it accommodates enormous language models or datasets that exceed the RTX 2000 Ada's 16 GB GDDR6 limit, preventing out-of-memory errors. The A100's 2039 GB/s bandwidth supports massive batch sizes in training and inference without stalling, unlike the 288 GB/s on the RTX 2000 Ada which constrains throughput for memory-intensive tasks. Power draw at 400 W TDP positions the A100 for dense clusters, while the 70 W RTX 2000 Ada prioritizes efficiency in lighter setups.
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 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 2000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 2000 Ada Generation 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.24/GPU/hr |
When to Choose the A100 PCIe 80GB
Select the A100 PCIe 80GB for large-scale machine learning training where 80 GB HBM2e VRAM handles models exceeding 16 GB, such as billion-parameter LLMs. Its 2039 GB/s bandwidth and 312 TFLOPS FP16 performance enable efficient processing of vast datasets with large batch sizes, ideal for enterprise AI development.
High-performance computing tasks benefit from the A100's NVLink interconnect and PCIe 4.0 support, facilitating multi-GPU scaling unavailable on the RTX 2000 Ada.
When to Choose the RTX 2000 Ada Generation
The RTX 2000 Ada Generation fits prototyping and development of smaller models under 16 GB VRAM, leveraging its Ada Lovelace architecture for modern features at $0.14 per hour starting price. Low 70 W TDP suits edge deployments or power-constrained environments where full datacenter capabilities remain unnecessary.
Inference on compact models or visualization tasks favors its balanced 12 TFLOPS FP16 and FP32 performance at an average $0.29 per hour rental cost.
Use Cases
The A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 performance support training of massive LLMs that exceed the RTX 2000 Ada's 16 GB limit. Its 2039 GB/s bandwidth handles large batch sizes essential for efficient convergence.
High throughput from 312 TFLOPS FP16 and 2039 GB/s bandwidth on the A100 serves high-volume inference for large models. The RTX 2000 Ada's 12 TFLOPS and 288 GB/s suffice only for smaller deployments.
Fine-tuning large pre-trained models requires the A100's 80 GB VRAM to avoid fragmentation issues on 16 GB setups. 19.5 TFLOPS FP32 aids precise adjustments.
Stable Diffusion pipelines fit within 16 GB VRAM on the RTX 2000 Ada for quick iterations at low cost. The A100 accelerates batch generation with superior bandwidth for professional pipelines.
The A100's 19.5 TFLOPS FP32 and NVLink interconnect excel in parallel simulations demanding high memory capacity. RTX 2000 Ada's lower specs limit complex datasets.
Frequently Asked Questions
Which GPU has more VRAM: A100 PCIe 80GB or RTX 2000 Ada?▾
The A100 PCIe 80GB provides 80 GB HBM2e VRAM, five times the RTX 2000 Ada's 16 GB GDDR6. This enables handling of larger models without swapping. Bandwidth reaches 2039 GB/s on A100 versus 288 GB/s.
What are the cloud rental prices for these GPUs?▾
NVIDIA A100 PCIe 80GB starts at $0.89 per hour, averaging $2.06 per hour across 29 offers. RTX 2000 Ada Generation begins at $0.14 per hour, averaging $0.29 per hour across 3 offers. Pricing reflects performance disparity.
Which is better for AI training?▾
The A100 excels with 312 TFLOPS FP16 performance versus 12 TFLOPS on RTX 2000 Ada. 80 GB VRAM supports massive datasets. Training times reduce dramatically on A100.
How do power consumptions compare?▾
A100 PCIe 80GB has a 400 W TDP for high-output workloads. RTX 2000 Ada Generation uses 70 W, ideal for efficiency. Lower TDP cuts operational costs in light use.
What architectures do they use?▾
A100 employs Ampere from 2020 with datacenter optimizations like NVLink. RTX 2000 Ada uses Ada Lovelace from 2024 for workstation efficiency. Newer architecture offers tensor core advancements.
Can RTX 2000 Ada handle large model inference?▾
RTX 2000 Ada's 16 GB VRAM limits it to models under that threshold, unlike A100's 80 GB. 288 GB/s bandwidth bottlenecks high concurrency. Use A100 for production-scale inference.
Which is cheaper to rent, the A100 or the RTX 2000 Ada?▾
Cloud rental prices for both the A100 and RTX 2000 Ada 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 2000 Ada?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.
Can I find A100 and RTX 2000 Ada 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 2000 Ada?▾
The A100 uses the Ampere architecture (2020) while the RTX 2000 Ada uses Ada Lovelace (2024). The A100 delivers 26.0x the FP16 throughput and 7.1x the memory bandwidth of the RTX 2000 Ada.