Science Technology and Engineering Consultancy

High Performance Computing

High Performance Computing (HPC) systems are designed and then implemented in accordance with the application they are used for and the need for each institution. We at Protocol Horizon have much experience in consulting, setting up and maintaining HPC clusters and supercomputers for various institutions.

We identify the needs and applications of supercomputers at research institution, university, industry and startups and SMEs.

We offer A to Z services as follows:

Consultation: Provide advice and solutions to expedite implementation of your applications
Design and implementation of powerful HPC systems (hardware & software) for a variety of applications
Design and implementation of multi-purpose Cluster & Supercomputer systems
Feasibility: Hardware and software feasibility of supercomputer systems
Applications: Installing and launching applications on HPC systems
Maintaining and keeping up to date your HPC cluster
Remote administration of your HPC cluster

Key technologies
Warewulf provisioning Rocks provisioning Torque resource manager SLURM resouce manager Maui cluster scheduler SGE scheduler Openstack cloud managment Open MPI MPICH2 PVM – Parallel Virtual Machine xCAT administration toolkit Lustre parallel file system NFS – network file system Ganglia monitoring system Nagios monitoring system

Machine Learning and Artificial Inteligence

Various institutions collect large amounts of data and analyze it to gain competitive advantage. Some use artificial intelligence and machine learning techniques to create programs such as fraud detection, demand forecasting, click prediction, and other data analyses. Recent advances in machine learning have made it even more exciting, so that deep learning is available to developers everywhere. Currently, many software for image processing (computer vision), speech recognition, natural language processing and audio recognition has been developed to help companies gain competitive advantage.

THE CHALLENGE:
Create applications specific deep learning alogirthms
and runit on a suitable and powerfull environment at the organizational level

Processing large amounts of data for deep learning requires a high degree of computational power. Developers use the benefits of computational clusters and auxiliary processors such as NVIDIA GPUs for artificial intelligence calculations while developing new tools for deep learning.
When organizational progress is tied to insights gained through deep learning, the IT infrastructure needed for this purpose should be applied professionally, not in the laboratory. However, building and managing an advanced cluster, installing software that has all the necessary libraries in place and working all together can be a big challenge.

We at Protocol Horizon provide services at three levels:

Consultation on Data Analysis and Data Storage
Artificial Intelligence and Deep Learning algorithm development
Consultation and provision of AI ready platform for execution of deep learning algorithms

Frameworks	BigDL \| Caffe \| Caffe-MPI \| Caffe2 \| CaffeOnSpark \| Chainer \| CNTK \| DyNet \| Horovod \| Intel Neon \| Keras \| MXNet \| PyTorch \| scikit-learn \| Tensorflow \| TensorFlowOnSpark \| TensorRT \| Theano \| Torch
Libraries	Bazel \| CUB \| CUDA \| CUDNN \| DIGITS \| gflags \| glog \| HDF5 \| leveldb \| LMDB \| NCCL \| OpenCV \| Protobuf

Machine Learning and Artificial Inteligence

Various institutions collect large amounts of data and analyze it to gain competitive advantage. Some use artificial intelligence and machine learning techniques to create programs such as fraud detection, demand forecasting, click prediction, and other data analyses. Recent advances in machine learning have made it even more exciting, so that deep learning is available to developers everywhere. Currently, many software for image processing (computer vision), speech recognition, natural language processing and audio recognition has been developed to help companies gain competitive advantage.

THE CHALLENGE:
Create applications specific deep learning alogirthms
and runit on a suitable and powerfull environment at the organizational level

Processing large amounts of data for deep learning requires a high degree of computational power. Developers use the benefits of computational clusters and auxiliary processors such as NVIDIA GPUs for artificial intelligence calculations while developing new tools for deep learning.
When organizational progress is tied to insights gained through deep learning, the IT infrastructure needed for this purpose should be applied professionally, not in the laboratory. However, building and managing an advanced cluster, installing software that has all the necessary libraries in place and working all together can be a big challenge.

We at Protocol Horizon provide services at three levels:

Consultation on Data Analysis and Data Storage
Artificial Intelligence and Deep Learning algorithm development
Consultation and provision of AI ready platform for execution of deep learning algorithms

Frameworks	BigDL \| Caffe \| Caffe-MPI \| Caffe2 \| CaffeOnSpark \| Chainer \| CNTK \| DyNet \| Horovod \| Intel Neon \| Keras \| MXNet \| PyTorch \| scikit-learn \| Tensorflow \| TensorFlowOnSpark \| TensorRT \| Theano \| Torch
Libraries	Bazel \| CUB \| CUDA \| CUDNN \| DIGITS \| gflags \| glog \| HDF5 \| leveldb \| LMDB \| NCCL \| OpenCV \| Protobuf

Cloud Computing

Cloud Computing provides a tool through which applications are accessed as an internet or intranet service. Cloud computing allows online configuration and customization of business applications. We at Protocol Horizon are able to advise and identify your cloud computing needs, and design and implement public or private cloud at your institution accordingly.

We provide Consultation and assist with implementation various Cloud layers: IaaS (Infrastructure as a Service), PaaS (Platform as a Service) and SaaS (Software as a Service)

We offer the following services:

Feasibility studies for cloud computing for organizations (requirements, costs, risks).
Infrastructure: Design and implementation of cloud computing infrastructure and cloud services
Migration Plan: Design a Migration Plan to the cloud for organizations
IAAS Infrastructure Layer: Implementing cloud-based services on the infrastructure layer (IaaS) such as physical cybercriminals, virtual servers, storage systems or storage networks
PAAS bedding layer: Implementation of cloud services on the substrate layer (PaaS) such as database, web server, programming tools
as a Service: Implementation of cloud services in the software layer (SaaS) such as CRM, Email, gaming, virtual desktops
Support and Maintenance: Cloud support and navigation and cloud based services
Remote administration of your enterprise cloud.

Key technologies
OpenStack Kubernates Cloud Foundry VMWare SAN storage NAS storage

Who we are

We are a group of engineers & computer scientists who have teamed up to tackle and solve challenging problems. We have experience in various industries and we were fed up with half working systems and expensive solutions. We aim to present professional yet simple solutions to your problems and the fraction of the cost.

We work with the best and brightest people from all over the world.

Our areas of expertise are:

Technology & Engineering Research and Consulting
High Performance Computing (HPC)
Private Cloud and Enterprise Cloud
Artificial Intelligence and Data Science
Spacecraft and Space Systems

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Science, Engineering and Technology Consultancy

HPC

AI & Machine Learning

Cloud Computing

High Performance Computing

Key technologies

Machine Learning and Artificial Inteligence

Machine Learning and Artificial Inteligence

Cloud Computing

Key technologies

Who we are

Get in Touch

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