• eXablock – S

    • AI Supercomputing Building Block

    Turnkey, Plug-n-Play, Compute Ready

    • AI supercomputing building block
    • Supports air-cooled IT loads
    • Near liquid-cooling efficiency
    • Closed-loop climate control
    • 1/3 Less DC space than Immersion Cooling
    • Up to 30% Lower OpEX
    • Up to 75% Faster Deployment
    • Deploy anywhere
    • Lower TCO for entire DC for AI compute
    • Higher Reliability
    • DC build out cost savings

  • eXablock – T

    • AI-Optimized Data Center Augmentation

    Upgrade your existing Data Center Augmentation with High Density Rapid AI Deployments

    • 30% less operating cost
    • 20x more AI compute density
    • Data Centre Retrofit

  • AI/HPC eXaNode

    • High Capacity GPU Clusters

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    • Nodes equipped with the latest and most powerful GPU
    • Multiple NVDIA DGX SuperPODs
    • Support Additional Capacity
    • Long Term Rental 1K H100+
    • Global footprint

  • AI/HPC eXaClustering

    • Full Stack turkey AI DC

    3MW deployed in 3 weeks

    • 3MW Design
    • PUE 1.1 – 1.2
    • 50% Lower CapEx for DC Build
    • 30% lower OpEx
    • 80% lower foot print
    • 75% faster deployment time

    AI Use Cases leveraging eXaBlock- T for Defense and Military

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    Autonomous Weapons Systems

    AI-powered weapons systems can autonomously identify, track and engage targets with minimal human involvement to minimize collateral damage risks while improving military operations efficiency.

    Cybersecurity Defense

    AI-powered cybersecurity systems can detect and neutralize cyberattacks instantly, protecting critical military infrastructure and networks.

    Threat Analysis and Prediction

    Artificial intelligence can use historical data, current intelligence and environmental considerations to accurately anticipate potential threats or vulnerabilities and enable proactive steps to be taken against risks.

    Surveillance and Reconnaissance

    Artificial intelligence algorithms can use vast amounts of surveillance data such as images, audio streams, and radar signals to detect patterns, anomalies, and track targets for real-time intelligence to military commanders.

    Electronic Warfare

    AI can analyze radio signals and other forms of electronic communication to locate enemy positions, disrupt enemy communications networks, and gain a tactical edge against them.

    Logistics and Supply Chain Management

    Artificial intelligence can assist logistics operations by optimizing route planning, inventory control, resource allocation, improving efficiency and decreasing costs.

    AI Use Cases leveraging eXaBlock- S for Finance

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    Fraud Detection and Prevention

    AI algorithms can analyze vast amounts of transaction data in real-time to detect unusual patterns and behaviors indicative of fraudulent activity. Utilizing GPU-accelerated deep learning models, the system can continuously train on new data to enhance detection accuracy and adapt to evolving fraud tactics.

    Automated Customer Service

    Gen AI chatbots and virtual assistants. These tools are capable of handling a wide range of institutional and customer inquiries to complex transaction issues, without human intervention. This automation leads to faster resolution of customer issues, reduced operational costs, and availability of 24/7 customer support, significantly improving the overall customer experience.

    Institutional Risk Assessment

    GenAI plays a pivotal role in credit scoring and risk assessment. Traditional credit scoring methods often overlook nuanced factors and emerging trends. GenAI, however, can analyze a broader set of data points, including non-traditional data such as banking transactional behavior, to assess creditworthiness more accurately and predict risks involved with partnering with low scoring organizations.

    Algorithmic Trading

    AI-powered trading algorithms can leverage machine learning models to analyze market data, news sentiment, and other relevant factors to make high-frequency trading decisions. Heavy GPU usage is required for training complex predictive models and for executing rapid real-time trading decisions.

    Regulatory compliance and reporting

    GenAI aids in automating compliance processes, ensuring that financial institutions adhere to various regulatory requirements. It can sift through vast quantities of regulatory text, interpret changes, and help companies adapt their operations accordingly. Additionally, GenAI can automate and streamline reporting processes, making them more efficient and error-free.

    Predictive analytics for financial services

    By analyzing patterns and trends in financial data, GenAI can forecast market movements, customer behavior, and potential risks. This predictive power is invaluable for financial planning, investment management, and strategic decision-making, enabling companies to anticipate market changes and make informed decisions.

    AI Use Cases leveraging eXaBlock- S for Education

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    Adaptive Learning

    AI can track student progress and adjust the difficulty of lessons, suggest relevant practice problems, or recommend additional resources based on individual needs.

    Learning Style Recognition

    AI can personalize learning experiences by identifying a student's preferred learning style (visual, auditory, kinesthetic) and tailoring content delivery accordingly.

    Virtual Tutors and Learning Companions

    GenAI can create interactive tutors that answer student questions, provide feedback, and explain concepts in a clear and engaging way.

    Simulations and Immersive Learning

    GenAI can be used to develop simulations and virtual environments that allow students to experience historical events, explore scientific phenomena, or practice skills in a safe and engaging way

    Automated Grading and Feedback

    AI can automate the grading of essays, multiple-choice questions, or other assignments, freeing up teachers' time to provide more personalized feedback.

    Student Performance Analysis

    GenAI can analyze student data to identify areas where students are struggling and inform instructional decisions.

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