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 compute superiority: 312 TFLOPS FP16 compared to the RTX 2000 Ada's 12 TFLOPS. This delta accelerates deep learning training, where FP16 reduces precision for faster iterations on large neural networks. FP32 performance also favors A100 at 19.5 TFLOPS over 12 TFLOPS, benefiting single-precision scientific simulations.
Memory bandwidth defines practical limits: A100's 2039 GB/s enables larger batch sizes in training and inference, minimizing data transfer bottlenecks for models exceeding 16 GB VRAM. The RTX 2000 Ada's 288 GB/s restricts it to smaller batches, increasing latency in memory-bound tasks.
Power efficiency shifts with workload intensity. The RTX 2000 Ada's 70W TDP suits edge deployments, but A100's 400W unlocks peak throughput for datacenter-scale operations.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| 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 | ||
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 SXM4 40GB
Select the A100 SXM4 40GB for large-scale AI training and inference requiring substantial VRAM. Its 40 GB HBM2e handles models that exceed the RTX 2000 Ada's 16 GB limit, while 2039 GB/s bandwidth supports high-throughput batch processing.
Datacenter environments benefit from NVLink and InfiniBand interconnects, enabling multi-GPU scaling unavailable on the PCIe-only RTX 2000 Ada.
When to Choose the RTX 2000 Ada Generation
The RTX 2000 Ada Generation excels in budget-sensitive prototyping and lightweight inference. At $0.14 per hour from cloud providers, it delivers 12 TFLOPS FP16 for tasks fitting within 16 GB GDDR6.
Low 70W TDP makes it ideal for power-constrained workstations or small-scale deployments where A100's 400W and $1.00 per hour minimum prove excessive.
Use Cases
A100's 40 GB VRAM and 312 TFLOPS FP16 support massive LLMs with large batch sizes. RTX 2000 Ada's 16 GB GDDR6 restricts model scale.
A100's 2039 GB/s bandwidth handles high-concurrency inference for production LLMs. RTX 2000 Ada suits low-volume needs only.
A100 accommodates full model fine-tuning with 40 GB VRAM. RTX 2000 Ada's 16 GB limits it to smaller adapters.
RTX 2000 Ada's 12 TFLOPS FP16 generates images efficiently at low cost. A100 overkill unless scaling to high resolutions.
A100's 19.5 TFLOPS FP32 and NVLink excel in simulations. RTX 2000 Ada's PCIe limits multi-node performance.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 40GB and RTX 2000 Ada?▾
A100 provides 40 GB HBM2e VRAM. RTX 2000 Ada offers 16 GB GDDR6. This gap affects handling of large AI models.
How do cloud prices compare for these GPUs?▾
A100 SXM4 40GB starts at $1.00 per hour, average $2.53 per hour across 6 offers. RTX 2000 Ada starts at $0.14 per hour, average $0.29 per hour across 3 offers.
Which GPU has higher FP16 performance?▾
A100 delivers 312 TFLOPS FP16. RTX 2000 Ada provides 12 TFLOPS. A100 accelerates training significantly.
What are the TDP ratings?▾
A100 requires 400W TDP. RTX 2000 Ada uses 70W. RTX suits low-power setups.
How does memory bandwidth differ?▾
A100 achieves 2039 GB/s. RTX 2000 Ada reaches 288 GB/s. Higher bandwidth on A100 supports larger batches.
What architectures do they use?▾
A100 uses Ampere from 2020. RTX 2000 Ada employs Ada Lovelace from 2024. Newer architecture aids RTX efficiency.
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.