Slide 1: Filing cover letter to NSE
E2E Networks Limited Accelerated Cloud Computing Platform CIN NUMBER - L72900DL2009PLC341980 Regd. Office : Awfis, First Floor, A-24/9, Mohan Cooperative Industrial Estate, Mathura Road, Saidabad, New Delhi-110044, Phone +011-4084-4964 Email : cs@e2enetworks.com, Website https://www.e2enetworks.com/
Slide 2: E2E Networks Limited Earnings Presentation Q2/H1-FY24
NSE: E2E E2E Networks Limited NSE Listed, AI-First Hyperscaler Earnings Presentation – Q2/H1-FY24
Slide 3: Q2 and H1-FY24 Financial Highlights
E2E Networks India-Born AI-First Hyperscale Cloud Service Provider FY24-Q2 Financial Highlights H1-FY24 Financial Highlights INR 216 Mn INR 112 Mn 51.85% INR 411 Mn INR 214 Mn 52.07% FY24 Q2 Revenue FY24 Q2 EBITDA FY24 Q2 EBITDA Margin H1-FY24 Revenue H1-FY24 EBITDA H1-FY24 EBITDA Margin +30.9% YoY
Slide 4: Key Financial Metrics (Revenue & Net Worth)
Key Financial Metrics (Revenue & Net Worth) Total Revenues (INR Mn) Net Worth (INR Mn) 700 670 700 600 625 522 600 500 494 411 500 363 400 385 400 300 274 300 200 200 100 100 0 0 FY21 FY22 FY23 H1-FY24 FY21 FY22 FY23 H1-FY24 3 E2E Networks Limited
Slide 5: Key Financial Metrics (EBITDA & PAT)
Key Financial Metrics (EBITDA & PAT) EBITDA (IN Mn) & EBITDA Margins (%) PAT (INR Mn) & PAT Margins (%) 350 330 300 230 128 250 214 150 35.90% 200 52.82% 99 49.85% 100 150 44.32% 12.52% 14.95% 103 65 100 50 29.18% -3.40% 50 0 0 FY21 FY22 FY23 H1-FY24 -12 -50 FY21 FY22 FY23 H1-FY24 4 E2E Networks Lim
Slide 6: Key Financial Metrics (MRR)
Key Financial Metrics (MRR) Monthly Recurring Revenue (INR Mn) 80 72 68 61 56 58 60 51 49 47 43 39 40 35 20 0 Mar'21 Jun'21 Sep'21 Dec'21 Mar'22 Jun'22 Sep'22 Dec'22 Mar'23 June'23 Sep'23 5 E2E Networks Limited
Slide 7: Capital Market Information
Capital Market Information Price Data (As on 30ᵗʰ September, 2023) INR Face Value 10.0 CMP 401.2 52 Week H/L 416.9 / 136.0 Market Cap (Mn) 5,806.7 No. of Share outstanding (Mn) 14.5 1 Year Avg. Trading Volume ('000) 46.4 6 E2E Networks Limited
Slide 8: Q2-FY24 Key Operational Highlights
Q2-FY24 Key Operational Highlights TIR - AI Platform Committed Nodes on TIR Node Compliance & Security Inference feature released on TIR Committed Node plans for CPU and GPU Node Compliance and Security features Platform. Inference helps model plans on TIR Platform helps customers were launched wher
Slide 9: E2E Networks at a glance
E2E Networks at a glance MISSION NVIDIA Partner with Member of Intel Cloud deep visibility into Builders program AI /ML ecosystem To provide scalable, accessible and affordable AI/ML and cloud platform needed by developers, data scientists, startups, Licensing relationship enterprises, higher educat
Slide 10: Journey Till Date
Journey Till Date Journey to NSE listing and becoming a pioneering GPU cloud provider in India. Inception 100 Customers 900 Customers GPU Cloud NSE Main Board Inception of the Reached the Reached the Launched GPU Cloud Listed on main board company - E2E milestone of 100 milestone of 900 in partnersh
Slide 11: E2E Cloud Platform
E2E Cloud Platform 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
Slide 12: Battle-Tested Cloud Solutions
BATTLE-TESTED CLOUD SOLUTIONS E2E Cloud provides an array of cloud solutions built on battle tested open source technologies that scale. SCALABLE FILE TIR - AI PLATFORM CLOUD GPUs GPU Clusters APIs SYSTEM COMPUTE DBAAS OBJECT STORAGE LOAD BALANCERS AUTO SCALE CONTAINERS MULTI REGION BLOCK STORAGE VP
Slide 13: Cloud GPU Products
CLOUD GPU PRODUCTS Unbeatable Performance. Unmatched Price-Performance Ratio. India Data Centers. HGX H100 80GB AI GPU Dedicated Compute with Supercomputer Tesla v100 H100 - The most advanced AI supercomputer for large 01 04 NVIDIA® Tesla® V100 Tensor Core is the most advanced scale training that en
Slide 14: TIR - AI Platform
TIR - AI PLATFORM GPU and CPU-backed notebooks, bundled with frameworks, datasets and models, built for AI and Data Science POWERED BY JUPYTER BUNDLED WITH FRAMEWORKS TIR is built on Jupyter, the open TIR is bundled together with latest source web-based interactive drivers, frameworks, that allow da
Slide 15: Playing a Pivotal Role in AI/ML Ecosystem in Indian Market
PLAYING A PIVOTAL ROLE IN AI / ML ECOSYSTEM IN INDIAN MARKET Open Source Image Audio LLMs Generation Generation Llama2, Falcon 40B, OpenJourney, Stable AudioGen, MPT 30B Diffusion MusicGen, BarkTTS Vision ASR, Speech NLP Models to Text YoloV8, DinoV2, ViT- Wav2Vec2, NeMo, Vicuna, Guanaco Pytorch, At
Slide 16: Linux Cloud
CPU Intensive Cloud High performance computing in the Cloud for CPU Intensive workloads, Linux Cloud applicable for numerous industry verticals. CPU Intensive Cloud C3 Series Third Generation C3 series for features like Quick Service Recovery (QSR), Snapshots and Images, with faster IOPS and faster
Slide 17: Windows Cloud
Windows Cloud Windows Cloud Top choice for Windows computing nodes, and for running Windows- based applications. Affordable, scalable, reliable, and secure cloud solution tailored specifically for Windows users, supporting Windows Server Editions including 2019, 2016, and 2012 R2 (Standard). Benefit
Slide 18: Engineering Technologies for an Integrated Cloud Platform
ENGINEERING TECHNOLOGIES FOR AN INTEGRATED CLOUD PLATFORM OpenNebula ntop MinIO ZABBIX LINSTOR Ceph DRBD RabbitMQ KVM Kubernetes Open vSwitch Fortinet Virtual Firewall 17 E2E Networks Limited
Slide 19: Strategic Overview
STRATEGIC OVERVIEW Fully Self-Service Platform Constant deployment of new Customers demand increased control over their inventory environment and want to be able to plugin their devops, 02 New inventory leveraging strong OEM relationships results in security and other platforms into E2E Cloud using
Slide 20: Recent Launches
RECENT LAUNCHES Tir - Advanced Jupyter Notebook Framework E2E Container Registry Provides data scientists in research labs and Enables storing private container organizations with an efficient environment images for EKS (E2E Cloud Kubernetes for expediting AI model development and Service) training
Slide 21: Customers on E2E Cloud
CUSTOMERS ON E2E CLOUD Computing Services India 20 E2E Networks Limited
Slide 22: Customers Running AI Workloads
CUSTOMERS RUNNING AI WORKLOADS 21 E2E Networks Limited
Slide 23: Managing Directors & Promoters
MANAGING DIRECTORS & PROMOTERS Tarun Dua CEO & 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 Doma
Slide 24: Stellar Leadership Team
STELLAR LEADERSHIP TEAM Mohammed Imran Kesava Reddy Megha Raheja Ashish Charan Chief Technology Chief Revenue Officer Chief Financial Officer Asst. Vice President Officer Sales Extensive experience in cloud 21+ years of experience in B2B Megha is a Chartered Ashish V. Charan is a result- computing,
Slide 25: Independent Directors
INDEPENDENT DIRECTORS Mr. Aditya Bhushan Mr. Varun Pratap Rajda Mr. Gaurav Munjal Mr. Naman Sarawagi Independent Director Independent Director Independent Director Independent Director He is a seasoned professional with skills in Graduated from IIT Bombay and has He holds professional experience of
Slide 26: Accolades
ACCOLADES Successful expansion, strong Commitment to safety, security, & Achieved Times Business Award for excellence in the field of Cloud financial performance, innovation compliance. & AI. and adaptability, and business excellence. 25 E2E Networks Limited
Slide 27: Quarterly Financial Performance
Quarterly Financial Performance PARTICULARS (INR Mn) Q2-FY24 Q2-FY23 Y-o-Y Q1-FY24 Q-o-Q Operational Revenue 216 165 30.9% 195 10.8% Total Expenses 104 82 26.8% 92 13.0% EBITDA 112 83 34.9% 103 8.7% EBITDA Margins (%) 51.85% 50.30% 155 Bps 52.82% (97) Bps Other Income 4 1 NA 3 33.3% Depreciation 25
Slide 28: Half Yearly Financial Performance
Half Yearly Financial Performance PARTICULARS (INR Mn) H1-FY24 H1-FY23 Y-o-Y Operational Revenue 411 317 29.7% Total Expenses 197 161 22.4% EBITDA 214 156 37.2% EBITDA Margins (%) 52.07% 49.21% 286 Bps Other Income 8 2 NA Depreciation 44 86 (48.8)% Finance Cost 6 2 NA PBT 172 70 NA Tax 44 18 NA PAT
Slide 29: Historical Income Statement
Historical Income Statement PARTICULARS (INR Mn) FY21 FY22 FY23 H1-FY24 Operational Revenue 353 519 662 411 Total Expenses 250 289 332 197 EBITDA 103 230 330 214 EBITDA Margins (%) 29.18% 44.32% 49.85% 52.07% Other Income 10 3 8 8 Depreciation 123 178 201 44 Finance Cost 2 2 5 6 PBT (12) 53 132 172
Slide 30: 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
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