Specifications Compared
| Spec | A100 | RTX-4500-ADA |
|---|---|---|
| TDP | 400W | 210W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 7,680 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 240 |
| FP16 Performance | 312 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 39.6 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 634 TOPS |
| Memory Bandwidth | 2,039 GB/s | 432 GB/s |
Performance Analysis
The A100's 312 TFLOPS FP16 performance significantly outpaces the RTX 4500 Ada's 39.6 TFLOPS, accelerating deep learning training where half-precision computations dominate. This delta means faster convergence in model training for large neural networks. In FP32, the RTX 4500 Ada achieves 39.6 TFLOPS compared to the A100's 19.5 TFLOPS, offering parity or advantage in single-precision tasks like simulations.
Memory bandwidth defines workload feasibility: the A100's 2039 GB/s enables larger batch sizes in training, reducing overhead and improving throughput for memory-intensive models. The RTX 4500 Ada's 432 GB/s limits it to smaller batches, potentially slowing inference on high-resolution data.
Power draw further differentiates them: the A100 consumes 400W TDP versus the RTX 4500 Ada's 210W, impacting density in multi-GPU setups. Newer Ada Lovelace architecture on the RTX may yield efficiency gains in supported software stacks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100
| 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 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the A100
The A100 excels in large-scale AI training and scientific computing demanding high memory capacity. Its 40 to 80 GB HBM2e VRAM accommodates massive datasets, unlike the RTX 4500 Ada's 24 GB limit. With 2039 GB/s bandwidth and NVLink interconnects, it scales efficiently across multi-GPU clusters.
Enterprise users prioritizing FP16 throughput of 312 TFLOPS select the A100 for LLM training despite higher $1.94 per hour average cost.
When to Choose the RTX 4500 Ada
The RTX 4500 Ada suits cost-conscious inference and fine-tuning where models fit within 24 GB VRAM. Its lower $0.34 per hour starting price and 210W TDP reduce operational expenses in smaller deployments.
Professionals benefit from balanced 39.6 TFLOPS across FP16 and FP32 on the 2023 Ada architecture, ideal for workstation-based prototyping.
Use Cases
A100's 312 TFLOPS FP16 and 40-80 GB HBM2e VRAM support massive parameter counts. RTX 4500 Ada's 24 GB GDDR6 limits scale.
RTX 4500 Ada's 39.6 TFLOPS FP16 suffices for models under 24 GB at lower $0.51 per hour average. A100's bandwidth aids high-throughput serving.
RTX 4500 Ada's balanced 39.6 TFLOPS FP32/FP16 and $0.34 per hour pricing fit smaller datasets. A100 overkill for sub-24 GB tasks.
RTX 4500 Ada's Ada architecture optimizes image generation within 24 GB VRAM. Lower 210W TDP suits creative workflows.
A100's 2039 GB/s bandwidth and NVLink handle large simulations. Superior for FP16-heavy HPC despite 400W TDP.
Frequently Asked Questions
Which has more VRAM: A100 or RTX 4500 Ada?▾
The A100 offers 40 to 80 GB HBM2e VRAM. The RTX 4500 Ada provides 24 GB GDDR6. This makes A100 better for memory-intensive tasks.
What is the FP16 performance difference?▾
A100 delivers 312 TFLOPS FP16. RTX 4500 Ada achieves 39.6 TFLOPS. A100 provides nearly eight times the half-precision compute.
How do cloud prices compare?▾
A100 starts from $0.60 per hour, averaging $1.94 per hour across 57 offers. RTX 4500 Ada begins at $0.34 per hour, averaging $0.51 per hour over 3 offers.
Which GPU uses less power?▾
RTX 4500 Ada has 210W TDP. A100 requires 400W. Lower TDP benefits dense or edge deployments.
Is RTX 4500 Ada newer than A100?▾
RTX 4500 Ada uses 2023 Ada Lovelace architecture. A100 employs 2020 Ampere. Newer design may offer software optimizations.
What interconnects does A100 support?▾
A100 includes NVLink, PCIe 4.0, and InfiniBand. RTX 4500 Ada relies on PCIe only. This enables A100 multi-GPU scaling.
Which is cheaper to rent, the A100 or the RTX 4500 Ada?▾
Cloud rental prices for both the A100 and RTX 4500 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 4500 Ada?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find A100 and RTX 4500 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 4500 Ada?▾
The A100 uses the Ampere architecture (2020) while the RTX 4500 Ada uses Ada Lovelace (2023). The A100 delivers 7.9x the FP16 throughput and 4.7x the memory bandwidth of the RTX 4500 Ada.