Specifications Compared
| Spec | A100 | RTX-A4000 |
|---|---|---|
| TDP | 400W | 140W |
| VRAM | 40-80 GB | 16 GB |
| CUDA Cores | 6,912 | 6,144 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 192 |
| FP16 Performance | 312 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 19.2 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 448 GB/s |
Performance Analysis
The FP16 performance disparity stands out: A100 delivers 312 TFLOPS compared to 19.2 TFLOPS on the A4500, enabling up to 16 times faster deep learning training in half-precision. FP32 rates remain close at 19.5 TFLOPS versus 19.2 TFLOPS, so single-precision tasks show minimal differences.
Memory capacity and bandwidth shape real-world use: A100's 40 GB HBM2e and 2039 GB/s support massive batch sizes for large models, reducing swapping in LLM training or inference. The A4500's 16 GB GDDR6 and 448 GB/s limit it to smaller batches, slowing memory-bound operations by over 4.5 times in bandwidth terms.
Power efficiency varies with 400W TDP on A100 versus 140W on A4500, allowing higher density for the latter in single-node setups but favoring A100 in scalable HPC clusters.
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 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 A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the A100 SXM4 40GB
Select the A100 SXM4 40GB for demanding AI training, large-scale inference, or HPC simulations. Its 312 TFLOPS FP16 and 40 GB VRAM handle models exceeding 16 GB, while 2039 GB/s bandwidth accelerates data-heavy tasks. NVLink and InfiniBand enable multi-GPU scaling unavailable on A4500.
When to Choose the RTX A4500
Choose the RTX A4500 for cost-sensitive visualization, small model fine-tuning, or graphics workloads. At $0.10 per hour average $0.19, its 19.2 TFLOPS FP32 and 140W TDP suit single-node professional use without A100's overhead. 16 GB VRAM suffices for Stable Diffusion or lighter inference.
Use Cases
A100's 312 TFLOPS FP16 and 40 GB HBM2e VRAM enable training massive models with large batches. A4500's 16 GB and 19.2 TFLOPS fall short for scale.
40 GB VRAM and 2039 GB/s bandwidth on A100 support high-throughput inference on large LLMs without splitting. A4500 limits concurrency with 16 GB.
Smaller models fit A4500's 16 GB VRAM at low $0.10 per hour cost. A100 accelerates with 312 TFLOPS FP16 for bigger datasets.
A4500's 19.2 TFLOPS FP32 and 16 GB GDDR6 handle image generation efficiently at $0.19 per hour average. A100 overkill for single-node creative tasks.
A100's 2039 GB/s bandwidth and NVLink suit parallel simulations. A4500's 448 GB/s constrains complex memory-bound computations.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 40GB and RTX A4500?▾
A100 offers 40 GB HBM2e VRAM, while RTX A4500 provides 16 GB GDDR6. This allows A100 to load larger models without partitioning. Bandwidth follows at 2039 GB/s versus 448 GB/s.
How do FP16 performances compare?▾
A100 achieves 312 TFLOPS in FP16, dwarfing A4500's 19.2 TFLOPS by over 16 times. This boosts training speed significantly. FP32 is similar at 19.5 versus 19.2 TFLOPS.
What are the cloud pricing ranges?▾
A100 SXM4 40GB starts from $1.00 per hour, averaging $2.45 across 7 offers. RTX A4500 begins at $0.10 per hour, averaging $0.19 across 4 offers. A4500 costs about 12 times less on average.
Which has higher power consumption?▾
A100 draws 400W TDP, compared to A4500's 140W. This impacts cluster density but enables A100's superior performance. A4500 suits power-constrained environments.
Can RTX A4500 use NVLink?▾
RTX A4500 relies on PCIe interconnects without NVLink support. A100 SXM4 includes NVLink, PCIe 4.0, and InfiniBand for multi-GPU scaling. This limits A4500 to single-node operations.
When is memory bandwidth critical?▾
A100's 2039 GB/s excels in bandwidth-intensive tasks like large-batch training. A4500's 448 GB/s suffices for smaller workloads but bottlenecks at scale. Difference exceeds 4.5 times.
Which is cheaper to rent, the A100 or the RTX A4000?▾
Cloud rental prices for both the A100 and RTX A4000 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 A4000?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find A100 and RTX A4000 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 A4000?▾
The A100 uses the Ampere architecture (2020) while the RTX A4000 uses Ampere (2021). The A100 delivers 16.3x the FP16 throughput and 4.6x the memory bandwidth of the RTX A4000.