Specifications Compared
| Spec | RTX-A4000 | V100 |
|---|---|---|
| TDP | 140W | 300W |
| VRAM | 16 GB | 16-32 GB |
| CUDA Cores | 6,144 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 192 | 640 |
| FP16 Performance | 19.2 TFLOPS | 125 TFLOPS |
| FP32 Performance | 19.2 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 448 GB/s | 900 GB/s |
Performance Analysis
Key spec divergences shape real-world outcomes between the RTX A4500 and V100 16GB. The V100's 125 TFLOPS FP16 vastly exceeds the A4500's 23.7 TFLOPS, accelerating mixed-precision training where FP16 dominates, such as large-scale neural network optimization. Conversely, the A4500's 23.7 TFLOPS FP32 outpaces the V100's 15.7 TFLOPS, benefiting FP32-centric inference or scientific simulations requiring precise single-precision computations.
Memory bandwidth profoundly impacts workloads: the V100's 900 GB/s HBM2 enables larger batch sizes in bandwidth-constrained scenarios like transformer training, reducing overhead compared to the A4500's 640 GB/s GDDR6. The A4500's PCIe form factor and lower 200W TDP versus the V100's 300W and NVLink options suit edge or power-limited environments, while Ampere's architectural advances yield better utilization in contemporary frameworks like CUDA 11+.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 |
Tesla V100 16GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the RTX A4500
The RTX A4500 excels in FP32-dominant tasks such as graphics rendering or general-purpose computing, where its 23.7 TFLOPS outperforms the V100's 15.7 TFLOPS. Its average cloud price of $0.19 per hour delivers superior value over the V100's $0.82 per hour, especially for sustained workloads leveraging 20 GB VRAM and 200W TDP efficiency.
When to Choose the Tesla V100 16GB
Opt for the V100 16GB in FP16-heavy deep learning training, capitalizing on 125 TFLOPS versus the A4500's 23.7 TFLOPS for faster iterations on large models. The 900 GB/s bandwidth supports massive batch sizes unavailable on the A4500's 640 GB/s, ideal despite higher $0.82 per hour average and 300W TDP.
Use Cases
V100's 125 TFLOPS FP16 accelerates mixed-precision LLM training far beyond A4500's 23.7 TFLOPS. Higher 900 GB/s bandwidth handles large batches effectively.
A4500's 23.7 TFLOPS FP32 and lower $0.19/hr pricing suit cost-effective inference on 20 GB models. Newer Ampere architecture optimizes modern inference engines.
V100 dominates with 125 TFLOPS FP16 for rapid fine-tuning iterations. 900 GB/s bandwidth supports bigger batches than A4500's 640 GB/s.
A4500's Ampere RT cores and 20 GB VRAM excel in diffusion model generation. Balanced 23.7 TFLOPS FP32/FP16 fits image synthesis efficiently.
A4500's 23.7 TFLOPS FP32 surpasses V100's 15.7 TFLOPS for precision simulations. Lower 200W TDP aids dense scientific clusters.
Frequently Asked Questions
Which GPU has more VRAM: RTX A4500 or V100 16GB?▾
The RTX A4500 provides 20 GB GDDR6 VRAM, exceeding the V100 16GB's 16 GB HBM2. This edge supports slightly larger models in memory-intensive tasks.
What is the FP16 performance difference?▾
V100 16GB achieves 125 TFLOPS FP16, dramatically higher than A4500's 23.7 TFLOPS. Choose V100 for FP16-dominant training workloads.
How do cloud prices compare?▾
Both start at $0.10/hr, but A4500 averages $0.19/hr versus V100 16GB's $0.82/hr across 29 offers. A4500 offers better long-term value.
Which has higher memory bandwidth?▾
V100 16GB delivers 900 GB/s with HBM2, surpassing A4500's 640 GB/s GDDR6. This benefits bandwidth-bound applications like large-batch training.
What are the TDP ratings?▾
RTX A4500 consumes 200W, lower than V100 16GB's 300W. A4500 enables more efficient power usage in multi-GPU cloud setups.
Is RTX A4500 newer than V100?▾
Yes, A4500 uses 2021 Ampere architecture versus V100's 2017 Volta. Newer design ensures compatibility with latest software stacks.
Which is cheaper to rent, the RTX A4000 or the V100?▾
Cloud rental prices for both the RTX A4000 and V100 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 RTX A4000 have compared to the V100?▾
The RTX A4000 has 16 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX A4000 and V100 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 RTX A4000 and the V100?▾
The RTX A4000 uses the Ampere architecture (2021) while the V100 uses Volta (2017). The V100 delivers 6.5x the FP16 throughput and 2.0x the memory bandwidth of the RTX A4000.