Infrastructure Assessment

Infrastructure Assessment

NexCen AI’s offshore data analytics services deliver expert, cost-effective solutions designed to optimize resource allocation for every project.

Infrastructure Assessment Services

We can assess your existing processes and systems to identify infrastructure needs for new technology. We will evaluate current hardware capabilities and plan necessary upgrades to support AI initiatives.

Current Infrastructure Evaluation

Assessing the current state of hardware, software, networks, and systems to understand the existing infrastructure's capacity to support AI applications and workloads.

AI Compatibility Check

Identifying how well the current infrastructure can support AI technologies like machine learning models, data analytics, and computational-heavy tasks such as training and inference processes.

Cloud vs On-Premises Evaluation

Providing recommendations on whether a cloud-based, hybrid, or on-premises infrastructure is best suited for the organization’s needs based on scalability, flexibility, and cost-effectiveness for AI workloads.

AI-Driven Infrastructure Automation

Recommending and implementing AI-driven automation for infrastructure management, including resource provisioning, workload balancing, and performance monitoring to optimize infrastructure utilization.

AI-Enhanced Monitoring and Diagnostics

Deploying AI tools to continuously monitor the performance and health of the infrastructure, automatically detecting issues, forecasting future bottlenecks, and providing proactive alerts.

Data Storage and Management Optimization

Assessing and recommending AI solutions for data storage, management, and retrieval, ensuring that data pipelines are optimized for AI applications and real-time analytics.

Scalability Planning and Load Forecasting

Leveraging AI to forecast demand for computing resources and ensuring the infrastructure is capable of scaling as necessary, particularly when processing large amounts of data or during AI model training.

Security and Risk Assessment

Analyzing the infrastructure for potential security vulnerabilities, and using AI tools for proactive threat detection and to recommend best practices for securing the infrastructure, including AI model protection and data security.

Cost Optimization and Efficiency

Using AI to assess the cost-effectiveness of current infrastructure and recommending solutions to optimize spending, such as moving to more cost-efficient cloud models, optimizing hardware usage, and reducing energy consumption.

Integration of AI-Specific Hardware

Assessing the need for AI-optimized hardware (e.g., GPUs, TPUs, FPGAs) and recommending the most suitable solutions based on the organization’s AI goals.

Disaster Recovery and Continuity Planning

Leveraging AI to create predictive models for disaster recovery, ensuring that infrastructure can quickly recover from system failures or data loss.

Sustainability Considerations

Recommending sustainable infrastructure solutions that leverage AI to reduce environmental impact, such as optimizing energy usage in data centers and reducing hardware waste.

Edge Computing Assessment

Evaluating whether edge computing is a viable solution to support AI models at the data source, improving speed, and reducing latency for AI applications.

Customized AI Tools Integration

Assessing the integration of specific AI tools and platforms (e.g., TensorFlow, PyTorch, or cloud-native AI services) into existing infrastructure to ensure optimal performance.

Performance Benchmarking

Implementing AI-driven benchmarking tools to assess the current infrastructure's performance against industry standards and best practices, and recommending areas for improvement.


Technology & Tools We Use

DL Tools

  • TensorFlow
  • Keras
  • Caffe
  • H2O.ai
  • PyTorch
  • TensorRT
  • DeepLearningKit

DL Frameworks

  • TensorFlow
  • PyTorch
  • Keras
  • Caffe
  • Theano
  • MXNet
  • Deeplearning4j

DL Libraries

  • CUDA
  • cuDNN
  • OpenCV
  • dlib
  • TensorFlow Lite
  • ONNX
  • fast.ai

ML Frameworks

  • MAHOUT
  • MXNet
  • Caffe
  • TensorFlow
  • Torch
  • Keras
  • OpenCV

ML Platforms and Services

  • Azure Machine Learning
  • Azure Cognitive Services
  • Bot Framework
  • Amazon Transcribe
  • Amazon SageMaker
  • Amazon Lex
  • Google Cloud AI Platform

ML Libraries

  • Apache Spark
  • Theano
  • Scikit-learn
  • Gensim
  • spaCy

Large Language Model

  • ChatGPT
  • Cohere
  • Falcon
  • Gemma
  • LLaMA

Small Language Model

  • Bart
  • Wav2Lip
  • BERT
  • mT5
  • Jasper

Programming Languages

  • Scala
  • Python
  • Java
  • C++
  • R
  • Lua
Our Mission

Why You Should Hire From NexCen AI

By partnering with NexCen AI, you gain access to top-tier expertise to enhance your technological capabilities, drive innovation, and secure a competitive edge in your industry.

  • Quick hiring
  • Scalable Teams
  • Robust Coding Practices
  • Cost-Effective Solutions
Our Features

Choose From Our Hiring Models

We provide various hiring models to suit your needs, offering flexibility and alignment with your project requirements and budget.

Team Augmentation

Add skilled professionals to your team for on-demand expertise and scalability, integrating seamlessly and reporting directly to your managers.

Time & Material Model

For projects with dynamic scopes, costs are based on the actual time spent, providing flexibility and optimal resource utilization.

Fixed Price Model

Ideal for well-defined projects, this model offers a fixed quote for precise specifications and deliverables, making it perfect for small to mid-sized businesses.

Managed Services Model

NexCen AI manages entire projects or specific components, ensuring top performance and quality through comprehensive Service Level Agreements (SLAs).

Dedicated Team

Hire a dedicated offshore team of developers, QA specialists, and project managers with NexCen AI. Perfect for startups and agencies, we provide flexible setups and risk-free contracts tailored to your unique requirements.

Joint Venture Model

NexCen AI partners with your company to collaboratively manage offshore projects, combining resources to reduce costs and enhance expertise for mutually beneficial outcomes.

Our experience

Who Can Hire AI Developers From NexCen AI ?

NexCen AI leverages advanced technologies to drive innovation and improve outcomes across diverse industries, empowering businesses with AI-driven solutions.

  • Healthcare
  • Microfinance
  • Banking
  • Automotive
  • Biotechnology
  • Mining
  • Food
  • Media & Entertainment
  • Travel & Hospitality
  • Accounting
  • Electronics
  • Transportation
  • Advertising
  • Real Estate
  • Insurance
  • Retail & E-commerce
  • Manufacturing
Onboarding Process

Ensure a smooth project launch with a well-defined plan that synchronizes team efforts and clearly outlines objectives.

1

Submit Details

Give us an outline of your project requirements, goals and objectives.

2

Project Briefing

In-depth discussion with our team to clarify project objectives.

3

Project Scoping

Define scope (SRS), architecture (HLD), wireframes and UI design

4

Budget Planning

Estimate costs and timelines and set milestones.

5

Launch Development

Organize sprints, code, test and document the LLD.

Our Services

We Offer Professional AI Solutions

Transform your business with our expert AI solutions, designed to enhance efficiency, drive innovation, and deliver actionable insights for smarter decision-making.

AI Solutions

Unlock the potential of your business with tailored AI solutions that drive automation, enhance decision-making, and optimize operations.

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AI Products

Seamlessly integrate AI capabilities into your existing package applications to enhance functionality, improve efficiency, and drive smarter decision-making.

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Training

Empower your team with expert-led training in AI, Python, and Cloud technologies, equipping them with the skills needed to drive innovation and success.

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