Dedicated Server with Tesla P100, Tesla P100 GPU Hosting

The NVIDIA® Tesla® P100 utilizes the NVIDIA Pascal™ GPU architecture to provide a unified platform to accelerate HPC and AI, dramatically increasing throughput while reducing costs.
Tesla P100 Hosting

Dedicated Tesla P100 Hosting Pricing

Cheap dedicated servers with Tesla P100 GPU, which delivers exceptional performance for HPC and hyperscale workloads.

Professional GPU - P100

For high-performance computing and large data workloads, such as deep learning and AI reasoning.
  • 128GB RAM
  • Dual 10-Core E5-2660v2report
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsreport
  • OS: Windows / Linux
  • GPU: Nvidia Tesla P100
  • Microarchitecture: Pascal
  • Max GPUs: 2report
  • CUDA Cores: 3584
  • Tensor Cores: 640
  • GPU Memory: 16 GB HBM2
  • FP32 Performance: 9.5 TFLOPSreport
1m3m12m24m
159.00/mo

NVIDIA Tesla P100 PCIe 16 GB Specifications

It features 3584 shading units, 224 texture mapping units, and 96 ROPs. NVIDIA has paired 16 GB HBM2 memory with the Tesla P100 PCIe 16 GB, which are connected using a 4096-bit memory interface. The GPU is operating at a frequency of 1190 MHz, which can be boosted up to 1329 MHz, memory is running at 715 MHz.
Specifications
GPU Microarchitecture
Pascal
Memory Bandwidth
732.2 GB/s
CUDA Cores
3584
Memory
16GB HBM2
TDP
250W
System Interface
PCI Express Gen 3 x 16
Memory Bus Width
4096 bit
GPU Clock speed
1190 MHz
Memory Clock Speed
715 MHz
Texture Rate
297.7 GTexel/s
FP16 (half)
19.05 TFLOPS
FP32 (float)
9.526 TFLOPS
FP64 (double)
4.763 TFLOPS
Release Date
Jun 20th, 2016
Graphics Features
DirectX
12 (12_1)
Shader Model
6.0
Vulkan
1.3
CUDA
6.0
OpenCL
3.0
OpenGL
4.6
NVENC
6th Gen
NVDEC
3rd Gen

GPU Features in Tesla P100 GPU Hosting Server

The Tesla P100 16GB is a high-performance GPU (Graphics Processing Unit) designed by NVIDIA primarily for data center and deep learning applications. Here are some of its key features:

Pascal Architecture

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The Tesla P100 is based on NVIDIA's Pascal architecture, which provides significant improvements in performance and power efficiency compared to previous architectures.

High Memory Bandwidth

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The Tesla P100 16GB utilizes HBM2 (High Bandwidth Memory) technology, which offers a memory bandwidth of 720GB/sec. This high bandwidth allows for faster data transfer and processing, improving overall performance.

CUDA Cores

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It features a large number of CUDA cores (typically over 3500), which are highly parallel processors optimized for tasks such as matrix multiplication, deep learning, and scientific computing.

High Performance

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With its high number of CUDA cores and Tensor Cores, coupled with the high-bandwidth memory, the Tesla P100 delivers exceptional performance for a wide range of compute-intensive workloads, including deep learning training and inference, scientific simulations, and computational fluid dynamics.

NVLink Technology

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The Tesla P100 supports NVLink, NVIDIA's high-speed interconnect technology, allowing multiple GPUs to communicate directly with each other at high speeds, enabling scalable multi-GPU configurations for even greater performance.

Power Efficiency

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The GPU is designed to be power-efficient, employing advanced techniques such as mixed-precision computing and NVIDIA's GPU Boost technology to optimize performance while minimizing power consumption.

PageMigration Engine

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The Tesla P100 16GB includes a PageMigration Engine, which simplifies parallel programming and data movement management. This feature allows applications to scale beyond the GPU's physical memory size by supporting virtual memory paging.

CoWoS with HBM2

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The Tesla P100 16GB utilizes Chip on Wafer on Substrate (CoWoS) technology combined with HBM2 memory. This design allows for improved memory bandwidth performance and delivers a 3x boost in memory bandwidth compared to previous architectures.

Unmatched Application Support

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The Tesla P100 16GB is compatible with a wide range of GPU-accelerated applications, including many of the top HPC applications. It is considered one of the leading platforms for HPC computing.

When to Choose a Dedicated Server Tesla P100 Hosting

The dedicated GPU in NVIDIA Tesla P100 hosting server is the most advanced data center GPU ever built to accelerate AI, high-performance computing (HPC), data science, and Big Data Analytics.
Tesla P100 Server for AI Training

Deep Learning and AI

If you're working on deep learning or artificial intelligence (AI) projects, the Tesla P100 with its powerful GPU and CUDA cores can significantly accelerate training and inference tasks. It offers high-performance computing capabilities and is optimized for machine learning frameworks like TensorFlow, PyTorch, and Caffe.
Nvidia Tesla P100 Server for Scientific Research and Simulations

Scientific Research and Simulations

The Tesla P100's computational power and memory bandwidth make it well-suited for scientific research and simulations. Whether you're working on computational chemistry, physics simulations, weather forecasting, or other data-intensive scientific computations, the Tesla P100 can deliver the necessary performance and efficiency.
Nvidia Tesla P100 Server for HPC

High Performance Computing (HPC)

When building an HPC cluster, dedicated servers equipped with Tesla P100 GPUs can enhance performance and scalability. The NVLink technology in the Tesla P100 allows for efficient inter-GPU communication, enabling improved parallel processing and larger-scale simulations.

What Can Be Run on Tesla P100 Dedicated Servers?

TensorFlow
Keras
PyTorch
Theano
Sony Vegas Pro
FastROCS
OpenFOAM
MapD
AMBER
GAMESS
CAFFE
CHROMA

Alternatives to the Tesla P100 GPU Server

Multiple GPU dedicated servers to choose from to meet your needs.
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