E2e Networks Ltd. · NSE:E2E

E2e Networks — Investor Presentation (July 2024)

31 slides from E2e Networks's investor presentation, Jul 19, 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: July 19, 2024 Corporate Service Department National Stock Exch

  2. Slide 2: E2E Investor Presentation July 2024

    NSE: E2E E2E Investor Presentation July 2024 NSE Listed, AI-First Cloud GPU Platform

  3. Slide 3: Executive Summary

    E2E Networks is an NSE-Listed AI-focused hyperscale cloud platform, offering Advanced Cloud GPUs and a comprehensive EXECUTIVE ecosystem of cloud technologies designed for the development and deployment of AI/ML/GenAI workloads on largescale compute SUMMARY clusters. E2E Cloud continues to enjoy the

  4. Slide 4: Our Journey

    2009 - Inception Inception of the company - E2E Networks Private Limited 2011-2014 - Seed Funding Raised Seed from Blume Ventures and others. 2017 – Self Service Cloud Platform OUR Self-Service Cloud Platform. 2018 - NSE Emerge JOURNEY IPO Listing on NSE Emerge, oversubscribed 70x, V100 GPU on E2E C

  5. Slide 5: Leadership Team

    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 23 years in the field of Open source, Linux, virtualization, WebScale, Networks Operations and Cloud Computing Domain. He has been the d

  6. Slide 6: Leadership Team

    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. She has diverse

  7. Slide 7: 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

  8. Slide 8: The GenAI Opportunity

    THE GenAI OPPORTUNITY

  9. Slide 9: Global Generative AI Market Opportunity

    Global 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 mark

  10. Slide 10: Trifecta of AI Opportunities 2024

    TRIFECTA OF AI OPPORTUNITIES 2024 GenAI presents a rapidly maturing opportunity for transformational growth in helping Indian economy leapfrog into productivity gains to help propel us into an increasingly AI driven world. This is primarily led by CloudGPU infrastructure that can leverage open sourc

  11. Slide 11: GenAI: Powered by Open Source

    GenAI : Powered by Open Source LLMs, Image Audio C-AIs Gen Gen Llama3, 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

  12. Slide 12: E2E Cloud Platform

    E2E CLOUD Platform Cloud GPUs TIR GenAI 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 for Training, Inference and Model End Point Deplo

  13. Slide 13: E2E Cloud Capabilities

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

  14. Slide 14: India's Most Advanced CloudGPU Platform

    India’s most advanced CloudGPU Platform E2E Cloud has pioneered the most advanced cloud GPUs in the Indian market at best price-performance ratio. • H100s available in (1,2,4,8,16, 32, 64,128, • HGX 8 x H100 & 4 x H100 256 GPU configurations) • Up to 9x faster than A100 • InfiniBand Connectivity upt

  15. Slide 15: TIR - GenAI Platform

    TIR - GenAI PLATFORM Direct Access to Advanced GPUs on CloudGPU platform including H100s, Rapid Training, Fine Tuning, RAG Pipelines and One Click Inference End Point Deployments. Debug Support for AI/ML workloads Jupiter Notebooks Faster AI deployments for Advanced AI Researchers and Developers TIR

  16. Slide 16: TIR for AI Developers and AI/ML Scientists

    TIR for AI Developers and AI/ML Scientists

  17. Slide 17: Recent TIR Platform Enhancements

    Recent TIR Platform Enhancements • Training Metrics: For Fine-Tuning Jobs. Tracking metrics such as train/loss, train/grad_norm, train/learning_rate, and train/epoch, provide valuable insights into the training process to help monitor and optimize your training models effectively. • LORA and BnB Qua

  18. Slide 18: Value Drivers

    Value Drivers Delhi-NCR-1 Delhi-NCR-2 Best Price-Performance Ratio Built on Open Source Mumbai-1 Performance and Solutioning Rapidly Improving Platform

  19. Slide 19: 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

  20. Slide 20: Deep Experience of Scaling Unicorns

    DEEP EXPERIENCE OF SCALING UNICORNs

  21. Slide 21: AI/ML Customers

    Al/ML Customers International Institute of Information Technology Bangalore ae QUre.al CLAINNGENIUS INFORMATION TECHNOLOGY REVERIE Language Technologies EYE THE FUTURE Qensured Cauirns? amut =} Fluidstack CrimsonaAl Lae ensorDock

  22. Slide 22: Media Coverage

    MEDIA COVERAGE https://www.financialexpress.com/business/digital-transformation-e2e-networks-ltd-collaborates-with-nasscom-to-support-generative-ai-startups-3299904/

  23. Slide 23: Financials

    FINANCIALS

  24. Slide 24: Fiscal Highlights

    FISCAL HIGHLIGHTS Q1-FY25 Financial Highlights Revenue in INR Mn 1200 Revenue EBITDA EBITDA Margin 1000 961 INR 417 Mn INR 274 Mn 66.34% 111.8% YoY 168.6% YoY 800 670 1,403 Bps YoY 600 522 417 400 PAT PAT Margin Diluted EPS 200 INR 101 Mn 24.46% INR 6.75 0 44.3%YoY (1,144) Bps YoY 41.8% YoY FY22 FY2

  25. Slide 25: Key Financial Metrics

    KEY FINANCIAL METRICS 500 479 250 PAT (INR Mn) EBIDTA (INR Mn) 66.34% 219 450 PAT Margins (%) EBIDTA Margins (%) 200 400 49.85% 50.69% 24.46% 23.17% 350 330 300 44.32% 274 150 14.95% 250 230 12.52% 99 101 200 100 150 65 100 50 50 0 0 FY22 FY23 FY24 Q1 FY25 FY22 FY23 FY24 Q1 FY25 Monthly Recurring Re

  26. Slide 26: Quarterly Approx. ARPU for Top 500 Customers

    Qtrly Approx. ARPU For Top 500 Customers 8,00,000 7,50,000 7,00,000 6,50,000 6,00,000 5,50,000 5,00,000 4,50,000 4,00,000 3,50,000 3,00,000 2,50,000 2,00,000 Q1 21-22 Q2 21-22 Q3 21-22 Q4 21-22 Q1 22-23 Q2 22-23 Q3 22-23 Q4 22-23 Q1 23-24 Q2 23-24 Q3 23-24 Q4 23-24 Q1 24-25

  27. Slide 27: Debt & Lease Facilities

    Debt & Lease Facilities Facility Type Facility Amount (INR Mn) Outstanding Amount as on 30.06.2024 8.80% Term loan 400 400 9.23% Term Loan 150 135 8.53% Term loan 250 225 8.46% Term loan 250 250 8.53% Term loan 70 70 8.53% Term loan* 80 - 8.80% Term loan* 190 - Other Loans 11 2 Lease Facilities 500

  28. Slide 28: Quarterly Financial Performance

    QUARTERLY FINANCIAL PERFORMANCE PARTICULARS (INR Mn) Q1-FY25 Q1-FY24 Y-o- Y Q4-FY24 Q-o- Q Operational Revenue 413 195 111.79% 294 40.48% Total Expenses 139 93 49.46% 141 (1.42)% EBITDA 274 102 168.63% 153 79.08% EBITDA Margins (%) 66.34% 52.31% 1403 bps 52.04% 1430 bps Other Income 3 4 (25.00)% 2 5

  29. Slide 29: Annual Financial Performance

    ANNUAL FINANCIAL PERFORMANCE PARTICULARS (INR Mn) FY22 FY23 FY24 Q1-FY25 Operational Revenue 519 662 945 413 Total Expenses 289 332 466 139 EBITDA 230 330 479 274 EBITDA Margins (%) 44.32% 49.85% 50.69% 66.34% Other Income 3 8 16 3 Depreciation 178 201* 157 107 Finance Cost 2 5 36 34 PBT 53 132 302

  30. Slide 30: Historical Balance Sheet

    HISTORICAL BALANCE SHEET PARTICULARS (INR Mn) FY22 FY23 FY24 PARTICULARS (INR Mn) FY22 FY23 FY24 EQUITY & LIABILITIES ASSETS Equity 385 494 709 Non-Current Assets 386 423 2,167 (A) Share Capital 145 145 145 (B) Other Equity 240 349 564 (A) Property, Plant & Equipment 226 229 1,558 Non-current Liabil

  31. Slide 31: 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

E2E Networks — Investor Presentation (July 2024) on 6ix