Tensor core performance of NVIDIA Tesla P4

💡 Answer

The short answer: NVIDIA Tesla P4 runs at FP16 TFLOPS with 192 GB/s of memory bandwidth. The longer answer depends on what you run.

For dense FP16 training with large batches, NVIDIA Tesla P4 saturates tensor cores and delivers throughput close to peak FLOPS. For memory-bound serving on long-context foundation models, bandwidth dominates — the 192 GB/s figure matters more than headline TFLOPS. For scientific computing, FP32 at 5.5 TFLOPS is the relevant number and puts NVIDIA Tesla P4 in line with the HPC expectations of its Pascal class.

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Cherry Servers GPU Provider Review & Key Facts (April 2026)
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Overview
Trustpilot Rating 4.6
Headquarters Lithuania
Provider Type N/A
Best For AI training inference fine-tuning rendering research HPC generative AI deep learning
GPU Hardware
GPU Models A100 A40 A16 A10 A2 Tesla P4
Max VRAM (GB) 80
Max GPUs/Instance 2
Interconnect PCIe
Pricing
Starting Price ($/hr) $0.16/hr
Billing Granularity Per-hour
Spot/Preemptible No
Reserved Discounts N/A
Free Credits None
Egress Fees N/A
Storage NVMe SSD, Elastic Block Storage ($0.071/GB/mo)
Infrastructure
Regions Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations)
Uptime SLA 99.97%
Developer Experience
Frameworks PyTorch TensorFlow CUDA (bare metal — full stack control)
Docker Support Yes
SSH Access Yes
Jupyter Notebooks No
API / CLI Yes
Setup Time Minutes
Kubernetes Support Yes
Business Terms
Min Commitment None
Compliance ISO 27001 ISO 20000-1 GDPR PCI DSS
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