Specifications Compared
| Spec | A40 | RTX-4500-ADA |
|---|---|---|
| TDP | 300W | 210W |
| VRAM | 48 GB | 24 GB |
| CUDA Cores | 10,752 | 7,680 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 336 | 240 |
| FP16 Performance | 37.4 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 39.6 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | |
| INT8 Performance | 299 TOPS | 634 TOPS |
| Memory Bandwidth | 696 GB/s | 432 GB/s |
Performance Analysis
The A40's 48 GB VRAM doubles the RTX 4500 Ada's 24 GB, enabling larger batch sizes in training and inference for models exceeding 24 GB. This capacity proves essential for LLMs where memory limits throughput. The A40's 696 GB/s bandwidth exceeds the RTX 4500 Ada's 432 GB/s by 61 percent, reducing data transfer bottlenecks and supporting higher effective batch sizes in memory-bound workloads. Both GPUs achieve FP16 performance matching FP32 at 37.4 TFLOPS for A40 and 39.6 TFLOPS for RTX 4500 Ada, indicating strong tensor core utilization for mixed-precision training and inference without FP32 bottlenecks. In real-world terms, the RTX 4500 Ada's 6 percent TFLOPS advantage offers marginal speedups in compute-limited scenarios, but its newer Ada Lovelace architecture enhances ray tracing and efficiency for graphics-heavy tasks. The A40's NVLink interconnect facilitates multi-GPU scaling unavailable on the RTX 4500 Ada, benefiting distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A40
| 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 | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | 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 |
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 A40
Choose the A40 for workloads demanding high VRAM, such as training large LLMs requiring over 24 GB. Its 48 GB capacity and 696 GB/s bandwidth handle bigger batches efficiently. With NVLink support and 23 cloud offers from $0.24 per hour, it suits scalable, memory-intensive deployments.
When to Choose the RTX 4500 Ada
Select the RTX 4500 Ada for power-constrained or cost-sensitive setups, with its 210W TDP versus 300W and average pricing of $0.51 per hour. The Ada Lovelace architecture and 39.6 TFLOPS provide efficiency gains in inference and fine-tuning under 24 GB models. Fewer offers at 3 reflect targeted workstation use.
Use Cases
The A40's 48 GB VRAM supports larger models and batches compared to 24 GB on the RTX 4500 Ada. Its 696 GB/s bandwidth minimizes transfer overheads in training.
Higher 48 GB VRAM on A40 accommodates bigger inference batches for throughput. NVLink enables multi-GPU inference scaling absent on RTX 4500 Ada.
Both offer similar FP16/FP32 at 37.4 TFLOPS and 39.6 TFLOPS for fine-tuning under 24 GB. A40 excels beyond that threshold with 48 GB VRAM.
RTX 4500 Ada's Ada Lovelace architecture and 39.6 TFLOPS boost image generation efficiency. Lower 210W TDP suits prolonged creative workloads.
A40's 48 GB VRAM and NVLink handle large datasets and multi-GPU simulations. 696 GB/s bandwidth accelerates data movement in HPC tasks.
Frequently Asked Questions
Which has more VRAM, A40 or RTX 4500 Ada?▾
The A40 provides 48 GB GDDR6 VRAM, double the RTX 4500 Ada's 24 GB. This difference impacts handling of large models in AI tasks. Bandwidth follows suit at 696 GB/s for A40 versus 432 GB/s.
What are the cloud rental prices for these GPUs?▾
A40 rentals start from $0.24 per hour, averaging $1.26 per hour across 23 offers. RTX 4500 Ada begins at $0.34 per hour, averaging $0.51 per hour over 3 offers. Prices vary by provider and instance.
How do FP16 performances compare?▾
RTX 4500 Ada delivers 39.6 TFLOPS FP16, slightly above A40's 37.4 TFLOPS. Both match their FP32 rates, suiting mixed-precision ML. Real gains depend on workload memory needs.
Does A40 support NVLink?▾
Yes, A40 includes NVLink for multi-GPU connectivity. RTX 4500 Ada lacks this interconnect. It enables faster scaling in distributed training.
Which is more power efficient?▾
RTX 4500 Ada has a 210W TDP, lower than A40's 300W. This reduces cooling and energy costs in cloud or on-prem. Efficiency pairs with newer Ada architecture.
What architectures do they use?▾
A40 uses Ampere from 2020, while RTX 4500 Ada employs Ada Lovelace from 2023. The generational gap brings Ada improvements in efficiency and features. Both excel in PCIe form factors.
Which is cheaper to rent, the A40 or the RTX 4500 Ada?▾
Cloud rental prices for both the A40 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 A40 have compared to the RTX 4500 Ada?▾
The A40 has 48 GB of GDDR6 memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find A40 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 A40 and the RTX 4500 Ada?▾
The A40 uses the Ampere architecture (2020) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4500 Ada delivers 1.1x the FP16 throughput and 1.6x the memory bandwidth of the A40.