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Bansir LLC

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15 reviews
  • 19 profiles
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4.7
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Red Hat Enterprise Linux 8 (HVM), SSD Volume Type with support by Bansir

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The YUM package manager is now based on the DNF technology and it provides support for modular content, increased performance, and a well-designed stable API for integration with tooling.

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Ubuntu Server 18.04 LTS (HVM), SSD with support by Bansir

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Ubuntu Server delivers services reliably, predictably and economically. It is the perfect base on which to build your instances.

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Ubuntu Server 20.04 with AWS CLI

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Up-to-date and secure. When vulnerabilities are identified or new versions of the application and its components are released.This item is a repackaged open source software Ubuntu Server 20.04 with AWS CLI, additional charges apply for support by Bansir

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Deep Learning Base AMI Ubuntu 16.04 Version 34.0 Support by Bansir

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This item is a repackaged open source software, additional charges apply for support by Bansir for Deep Learning Base AMI Ubuntu 16.04 Version 34.0 AWS Deep Learning Base AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker, EFA, and AWS Neuron support. This AMI is suitable for deploying your own custom deep learning environment at scale. For example, for machine learning developers contributing to open source deep learning framework enhancements, the AWS Deep Learning Base AMI provides a foundation for installing your custom configurations and forked repositories to test out new framework features. You could also be a Machine Learning / AI startup with a highly specialized deep learning setup that needs a foundation to run on a cloud-scale infrastructure.

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Deep Learning Base AMI (Ubuntu 18.04) Version 34.0

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This item is a repackaged open source software, additional charges apply for support by Bansir for Deep Learning Base AMI on Ubuntu 18.04 Version 34.0. This AMI is suitable for deploying your own custom deep learning environment at scale. For example, for machine learning developers contributing to open source deep learning framework enhancements, the AWS Deep Learning Base AMI provides a foundation for installing your custom configurations and forked repositories to test out new framework features. You could also be a Machine Learning / AI startup with a highly specialized deep learning setup that needs a foundation to run on a cloud-scale infrastructure.

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EKS-optimized AMI with GPU Support with Support by Bansir

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Based on the EKS-Optimized AMI.Supports GPU Enabled Kubernetes workloads in Amazon EKS

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Bansir LLC Reviews

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Khijar S.
KS
Khijar S.
An accomplished and result-oriented professional AWS Devops with 2+ years of experience in IT Industry. | Kubernetes | Jenkins | Docker | Ansible | Git | Gitlab | Sonarcube | Python | shell scrypting | prometheous |
08/17/2023
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Review source: G2 invite
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Ami for VPC

Amazon linux 2 is most useful just because of ease to use. Provide long term support. Support all the Updated things. And provide good performance. In basic way it's balance product.
Fernando R.
FR
Fernando R.
SAP Specialist at Michael Management Corporation
08/15/2023
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Review source: G2 invite
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Amazon Deep Learning AMIs to train image and statistics models

The documentation has basic tutorials to build images and numeric examples for deep learning. Also, it comes with popular frameworks like Tensorflow and Keras.
SJ
Siddhant J.
12/10/2022
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AWS ECS for Complex Applications

AWS allows users to select from the preconfigured ECS instances to run complex applications. It is easier for those organisations starting their cloud journey and do not have a dedicated AWS team to spin the ECS instances with proper configuration. It contains the AMI name and version for each of the configurations available.

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