Specifications Compared
| Spec | P100 | RTX-A4000 |
|---|---|---|
| TDP | 250W | 140W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 3,584 | 6,144 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | SXM2, PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 9.3 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 9.3 TFLOPS | 19.2 TFLOPS |
| FP64 Performance | 4.7 TFLOPS | |
| Memory Bandwidth | 732 GB/s | 448 GB/s |
Performance Analysis
Compute performance favors the RTX A4500 decisively: its 19.2 TFLOPS in FP16 and FP32 doubles the P100's 9.3 TFLOPS in both metrics. This delta accelerates machine learning training, where FP16 tensor operations dominate, and FP32 inference tasks by approximately 2x. Newer Ampere architecture enhances efficiency through improved tensor cores absent in Pascal. Memory bandwidth presents a key tradeoff: P100's 732 GB/s HBM2 outpaces A4500's 448 GB/s GDDR6 by 63 percent. Higher throughput on P100 supports larger batch sizes in memory-bound workloads like large-model training, reducing data loading bottlenecks. Lower bandwidth on A4500 may limit scalability in such scenarios despite superior raw compute. Power efficiency tilts toward A4500: 140 W TDP versus P100's 250 W enables denser cloud deployments. NVLink on P100 aids multi-GPU scaling for distributed training, a capability absent on A4500.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla P100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 2×NVIDIA Tesla P100 16GB VRAM | 16GB | 0 vCPU 256GB RAM 960GB Storage | Netherlands | $0.60/GPU/hr $1.20/hr total (2×) | Available |
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 Tesla P100
The P100 excels in scenarios demanding high memory bandwidth and multi-GPU interconnects. Its 732 GB/s bandwidth handles memory-intensive scientific simulations or large-batch training better than A4500's 448 GB/s. NVLink support facilitates efficient scaling across multiple P100s in HPC clusters, ideal for legacy Pascal-optimized codebases.
When to Choose the RTX A4500
The RTX A4500 suits cost-sensitive, single-GPU AI and visualization tasks. Double the performance at 19.2 TFLOPS FP16/FP32 versus 9.3 TFLOPS, combined with $0.19 per hour average pricing against $0.60 per hour, delivers superior value. Lower 140 W TDP reduces operational costs in prolonged cloud sessions.
Use Cases
A4500's 19.2 TFLOPS FP16 doubles P100's 9.3 TFLOPS for faster training iterations. Lower $0.19 per hour pricing offsets extended runs.
19.2 TFLOPS FP32 on A4500 accelerates inference 2x over P100's 9.3 TFLOPS. Cost efficiency at $0.10 per hour starting price suits high-volume serving.
Ampere architecture and 19.2 TFLOPS provide quicker fine-tuning than Pascal's 9.3 TFLOPS. Reduced TDP of 140 W lowers cloud bills.
A4500 handles diffusion models efficiently with 19.2 TFLOPS and 16 GB VRAM matching P100. Newer features outperform at $0.19 average hourly rate.
P100's 732 GB/s bandwidth supports bandwidth-heavy simulations better than 448 GB/s. NVLink enables multi-GPU HPC scaling.
Frequently Asked Questions
Which GPU has higher compute performance, P100 or RTX A4500?▾
The RTX A4500 leads with 19.2 TFLOPS in both FP16 and FP32, doubling the P100's 9.3 TFLOPS per metric. This advantage stems from Ampere architecture advances over Pascal.
How do memory bandwidths compare between P100 and A4500?▾
P100 provides 732 GB/s HBM2 bandwidth, exceeding A4500's 448 GB/s GDDR6 by 63 percent. Higher throughput benefits memory-bound tasks on P100.
What are the cloud pricing differences for these GPUs?▾
P100 pricing starts at $0.60 per hour across one offer, averaging $0.60 per hour. A4500 starts at $0.10 per hour, averaging $0.19 per hour across four offers.
Which GPU is more power efficient?▾
RTX A4500 consumes 140 W TDP, versus P100's 250 W. Lower power supports more instances per cloud host.
Does P100 support multi-GPU interconnects better than A4500?▾
P100 includes NVLink for high-speed multi-GPU communication, unavailable on PCIe-only A4500. This aids distributed computing on P100.
Are both GPUs suitable for 16 GB VRAM workloads?▾
Yes, both offer 16 GB VRAM: P100 with HBM2 and A4500 with GDDR6. Choice depends on bandwidth needs and performance targets.
Which is cheaper to rent, the P100 or the RTX A4000?▾
Cloud rental prices for both the P100 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 P100 have compared to the RTX A4000?▾
The P100 has 16 GB of HBM2 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find P100 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 P100 and the RTX A4000?▾
The P100 uses the Pascal architecture (2016) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 2.1x the FP16 throughput and 1.6x the memory bandwidth of the P100.