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 SXM4 80GB outperforms the RTX 2000 Ada Generation significantly in compute metrics: its 312 TFLOPS FP16 capability dwarfs the 12 TFLOPS of the RTX 2000 Ada, accelerating deep learning training where half-precision dominates. FP32 performance stands at 19.5 TFLOPS for A100 compared to 12 TFLOPS, benefiting single-precision scientific simulations and inference pipelines.
Memory specifications reveal stark contrasts impacting real-world usage: A100's 2039 GB/s bandwidth and 80 GB HBM2e VRAM enable larger batch sizes in model training, reducing overhead in large language model optimization. The RTX 2000 Ada's 288 GB/s and 16 GB GDDR6 limit it to smaller batches, suitable for inference on compact models but prone to out-of-memory errors with expansive datasets.
Power draw further differentiates them: A100's 400W TDP suits datacenter cooling, while RTX 2000 Ada's 70W fits edge or low-power cloud instances. These specs translate to A100 handling multi-GPU training via NVLink at scales unattainable by the PCIe-bound RTX 2000 Ada, though the latter's newer architecture offers efficiency gains in lighter tensor operations.
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 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 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 SXM4 80GB
Opt for the A100 SXM4 80GB in large-scale AI training and fine-tuning: its 80 GB VRAM and 312 TFLOPS FP16 performance manage massive datasets and models exceeding 16 GB capacities. Multi-node setups benefit from NVLink and InfiniBand interconnects, enabling distributed training at 2039 GB/s bandwidth.
Scientific computing and high-throughput inference favor A100 when batch sizes demand superior memory handling, despite higher costs averaging $1.39 per hour.
When to Choose the RTX 2000 Ada Generation
Select the RTX 2000 Ada Generation for cost-sensitive deployments: pricing from $0.14 per hour suits prototyping, small-scale inference, and development workflows. Its 70W TDP and 16 GB VRAM support efficient single-GPU tasks without datacenter infrastructure.
Edge AI or lightweight Stable Diffusion runs align with its 288 GB/s bandwidth and Ada Lovelace efficiencies, ideal when 12 TFLOPS FP16 suffices over A100's overkill.
Use Cases
A100's 312 TFLOPS FP16 and 80 GB VRAM handle massive parameter counts and large batches essential for LLM training. RTX 2000 Ada's 16 GB limits scalability.
A100 supports high-concurrency inference with 2039 GB/s bandwidth for larger models. RTX 2000 Ada suits only small LLMs due to 16 GB VRAM constraint.
A100's superior 19.5 TFLOPS FP32 and memory capacity accelerate fine-tuning on datasets too large for RTX 2000 Ada's 12 TFLOPS and 16 GB.
RTX 2000 Ada's 12 TFLOPS FP16 runs standard Stable Diffusion efficiently at low cost. A100 excels for high-resolution or batched generations needing 80 GB VRAM.
A100's 19.5 TFLOPS FP32 and NVLink interconnect optimize parallel simulations. RTX 2000 Ada's lower specs restrict complex computations.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 80GB or RTX 2000 Ada?▾
The A100 SXM4 80GB provides 80 GB HBM2e VRAM. RTX 2000 Ada offers 16 GB GDDR6. This makes A100 ideal for memory-intensive tasks.
What is the FP16 performance difference between A100 and RTX 2000 Ada?▾
A100 delivers 312 TFLOPS in FP16. RTX 2000 Ada achieves 12 TFLOPS. The gap favors A100 for accelerated training.
How do cloud prices compare for these GPUs?▾
A100 SXM4 80GB starts at $0.45 per hour, averaging $1.39 across 25 offers. RTX 2000 Ada begins at $0.14 per hour, averaging $0.29 over 3 offers.
Which has higher memory bandwidth?▾
A100 features 2039 GB/s bandwidth with HBM2e. RTX 2000 Ada provides 288 GB/s with GDDR6. Higher bandwidth aids larger batch processing on A100.
What are the TDP ratings?▾
A100 SXM4 80GB has a 400W TDP. RTX 2000 Ada uses 70W. Lower TDP makes RTX 2000 Ada suitable for power-constrained environments.
Can RTX 2000 Ada replace A100 for AI training?▾
RTX 2000 Ada's 12 TFLOPS FP16 and 16 GB VRAM cannot match A100's 312 TFLOPS and 80 GB for large-scale training. It works for smaller models only.
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.