E2e Networks Ltd. · NSE:E2E

E2e Networks — Investor Presentation (April 2024)

28 slides from E2e Networks's investor presentation, Apr 10, 2024

  1. Slide 1: Cover letter to NSE: Investor Presentation

    E2E Networks Limited CIN- L72900DL2009PLC341980 Awfis, 1st Floor, A-24/9,Mohan Cooperative Industrial Estate Mathura Road, New Delhi-110044, Phone No. +91-11-4084-4964 Email: cs@e2enetworks.com, Website https://www.e2enetworks.com/ Date: April 10, 2024 Corporate Service Department National Stock Exc

  2. Slide 2: E2E Networks Limited - NSE Listed, AI-First Hyperscaler

    NSE: E2E E2E Networks Limited NSE Listed, AI-First Hyperscaler Investor Presentation - April 2024

  3. Slide 3: Executive Summary

    EXECUTIVE E2E Networks is an NSE-Listed AI-focused hyperscale cloud platform, offering advanced cloud GPUs and a comprehensive SUMMARY ecosystem of cloud technologies designed for the development and deployment of AI/ML applications. The company’s mission is to provide scalable, accessible and affor

  4. Slide 4: Our Journey

    2009 - Inception Inception of the company - E2E Networks Ltd. 2011-2014 - Seed Funding Raised Seed from Blume Ventures and others. 2017 - 900 Customers OUR Company touched the milestone of 900 customers. JOURNEY 2018 - NSE Emerge IPO Listing on NSE Emerge, oversubscribed 70x. to becoming the first 2

  5. Slide 5: E2E Cloud Products

    E2E CLOUD PRODUCTS Cloud GPUs TIR - Machine Learning Platform Array of advanced Cloud GPU GPU-backed Machine Learning products for enterprise machine platform packaged with top open learning and Generative AI source frameworks and built for workloads. advanced AI. Linux Cloud Cloud Solutions Highly

  6. Slide 6: E2E Cloud Technologies

    E2E CLOUD TECHNOLOGIES E2E Cloud provides an array of cloud solutions built on battle tested open source technologies that scale. SCALABLE FILE TIR - AI PLATFORM CLOUD GPUs FAAS APIs SYSTEM COMPUTE DBAAS OBJECT STORAGE LOAD BALANCERS AUTO SCALE CONTAINERS MULTI REGION BLOCK STORAGE VPC SQS

  7. Slide 7: Advanced Cloud GPUs

    ADVANCED CLOUD GPUS E2E Cloud has pioneered the most advanced cloud GPUs in the Indian market at top price-performance ratio. HGX 8XH100 AND 4XH100 Available in 40GB and 80GB variants Up to 9x faster than A100 Delivers up to 20x performance improvements for AI workloads Based on Hopper Architecture

  8. Slide 8: TIR - AI Platform

    TIR - AI PLATFORM Direct Container Access to Advanced GPUs including H100s, Rapid Training, Fine Tuning, RAG Pipelines and One Click Inference End Point Deployments. Debugging Support for AI/ML workloads JUPYTER NOTEBOOKS QUICK FRAMEWORK DEPLOYMENTS TIR allows developers and data TIR is bundled toge

  9. Slide 9: Cloud Built for India

    E2E CLOUD CLOUD BUILT FOR INDIA Fully Swadeshi cloud, ensuring data sovereignty and providing Delhi-NCR-1 Delhi-NCR-2 businesses with peace of mind. Top Price-Performance Ratio Built on Open Source Tech Top price-performance ratio in Robust platform built on battle- Indian market. tested open-source

  10. Slide 10: Led by a Stellar Leadership Team

    LED BY A STELLAR LEADERSHIP TEAM Tarun Dua Managing Director He holds a degree of Bachelor of Technology (Computer Engineering) from REC Kurukshetra. He has experience of more than 20 years in the field of Open source, Linux, virtualization, WebScale, Networks Operations and Cloud Computing Domain.

  11. Slide 11: Led by a Stellar Leadership Team

    LED BY A STELLAR LEADERSHIP TEAM Mohammed Imran Megha Raheja Chief Technology Officer Chief Financial Officer Extensive experience in cloud Megha is a Chartered Accountant with computing, networking, and open over 21 years of experience in IT/ITES source software. Avid user and and telecom industry.

  12. Slide 12: Independent Directors

    Independent Directors Aditya Bhushan Varun Pratap Rajda Gaurav Munjal Naman Sarawagi Independent Director Independent Director Independent Director Independent Director He is a seasoned professional with skills in He is a Chartered Accountant working as a Graduated from IIT Bombay and has He holds p

  13. Slide 13: Rated Top IaaS by Customers

    RATED TOP IAAS BY CUSTOMERS Source: G2 The Top 20 Infrastructure as a Service (IaaS) Providers Source: G2 The Top 20 Infrastructure as a Service (IaaS) Providers

  14. Slide 14: Deep Experience of Scaling Unicorns

    DEEP EXPERIENCE OF SCALING UNICORNS

  15. Slide 15: Customers Running AI/ML Workloads

    CUSTOMERS RUNNING AI/ML WORKLOADS

  16. Slide 16: Media Coverage

    MEDIA COVERAGE This Hyperscaler is Making GPUs More Accessible in BUSINESSWORLD inelTimes.com India ' FARER CXOtoday.com Channels c2e Networks hevescrienberea ound 500-600 GPUs across its EXPRESS . t s COMPUTER 9 Fa RESS FINANCIAL EXPRESS NDIANTEIEVIS Noto Manufacturing i PGOULS | ¢. » . ere TECH st

  17. Slide 17: The AI Opportunity

    THE AI OPPORTUNITY

  18. Slide 18: AI presents a landgrab moment

    AI presents a landgrab moment, driven by unfulfilled demand for advanced cloud GPUs, increasingly forward-thinking data protection regulations, and explosion of open source technologies in AI. GPU Demand Open Source AI Data protection Long waitlist for advanced cloud Explosion of open source AI / DL

  19. Slide 19: Gen-AI, Driven by Open Source: 2024

    GEN-AI, DRIVEN BY OPEN SOURCE: 2024 LLMs, Image Audio C-AIs Gen Gen Llama2, Falcon 40B, OpenJourney, Stable AudioGen, MPT 30B Diffusion MusicGen, BarkTTS Computer ASR, Speech AI Agents, Vision to Text Assistants YoloV8, DinoV2, Wav2Vec2, NeMo, Rasa, GorillaLLM Detectron2 Athena

  20. Slide 20: The Generative AI Market Opportunity

    THE GENERATIVE AI MARKET OPPORTUNITY Globally, across 63 use cases, generative AI has the potential to generate $2.6 trillion to $4.4 trillion in value across industries. [1] The generative AI market could grow to $1.3 trillion in 10 years, impacting numerous sectors. [2] Generative AI market to gro

  21. Slide 21: Financials

    FINANCIALS

  22. Slide 22: Fiscal Highlights

    FISCAL HIGHLIGHTS Q3-FY24 Financial Highlights Revenue in INR Mn Revenue EBITDA EBITDA 700 670 665 INR 239 Mn INR 112 Margin 41.43% YoY Mn 46.86% 33.34% YoY 600 (284) Bps YoY 522 PAT PAT Margin Diluted EPS 500 INR 56 Mn 23.43% INR 3.77 154.55% YoY +1041 Bps 151.34% YoY YoY 400 363 9M-FY24 Financial

  23. Slide 23: Key Financial Metrics

    KEY FINANCIAL METRICS 200 PAT (INR Mn) 183 350 EBIDTA (INR Mn) 330 326 300 PAT Margins (%) EBIDTA Margins (%) 150 230 250 99 100 28.15% 200 65 49.85% 50.15% 150 103 44.32% 50 14.95% 12.52% 100 -3.40% 29.18% 0 50 -12 0 FY21 FY22 FY23 9M-FY24 -50 FY21 FY22 FY23 9M-FY24 100 Monthly Recurring Revenue (I

  24. Slide 24: Quarterly Financial Performance

    QUARTERLY FINANCIAL PERFORMANCE PARTICULARS (INR Mn) Q3-FY24 Q3-FY23 Y-o- Y Q2-FY-24 Q-o- Q Operational Revenue 239 169 41.43% 216 10.65% Total Expenses 127 85 49.42 104 22.12% EBITDA 112 84 33.34% 112 0% EBITDA Margins (%) 46.86% 49.70% (284) BPS 51.85% (499) BPS Other Income 6 2 200% 4 50% Depreci

  25. Slide 25: YTD Financial Performance

    YTD FINANCIAL PERFORMANCE PARTICULARS (INR Mn) 9M-FY24 9M-FY23 Y-o-Y Operational Revenue 650 486 33.74% Total Expenses 324 246 31.70 EBITDA 326 240 35.83% EBITDA Margins (%) 50.15% 49.38% 77 BPS Other Income 14 4 250% Depreciation 81 141 -42.55% Finance Cost 14 3 466.67% PBT 246 100 146.00% Tax 63 2

  26. Slide 26: YTD Financial Performance

    YTD FINANCIAL PERFORMANCE PARTICULARS (INR Mn) FY21 FY22 FY23 9M-FY24 Operational Revenue 353 519 662 650 Total Expenses 250 289 332 324 EBITDA 103 230 330 326 EBITDA Margins (%) 29.18% 44.32% 49.85% 50.15 Other Income 10 3 8 14 Depreciation 123 178 201 81 Finance Cost 2 2 5 14 PBT (12) 53 132 246 T

  27. Slide 27: Historical Balance Sheet

    HISTORICAL BALANCE SHEET PARTICULARS (INR Mn) FY22 FY23 H1-FY24 PARTICULARS (INR Mn) FY22 FY23 H1-FY24 EQUITY & LIABILITIES ASSETS Equity 385 494 625 Non-Current Assets 386 423 552 (A) Share Capital 145 145 145 (B) Other Equity 240 349 480 (A) Property, Plant & Equipment 226 229 302 Non-current Liab

  28. Slide 28: Disclaimer

    Disclaimer E2E Networks Limited No representation or warranty, express or implied, is made as to, and no reliance should be placed on, the fairness, accuracy, completeness or correctness of the information or opinions contained in this presentation. Such information and opinions are in all events no

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