GoWeb. GoWeb. GoWeb is offering token holders the opportunity to become part of a hi-tech project
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1 is offering token holders the opportunity to become part of a hi-tech project Functional computing centers are merged into a single network and are ready for installation of new equipment Efficient process of manufacturing and introducing highefficiency computing equipment GOWEB COMPUTING CENTERS FOR MACHINE LEARNING AND MINING
2 Company is an efficient and rapidly growing business with a successful history, customers and partners all over the world. Contracts with set limits for highly demanded components with suppliers of quality and value components, sites with ready infrastructure and large amounts of electrical power (380 V), streamlined manufacturing in Shenzhen (China) and logistics of own-produced components and equipment only make up a small list of s resources, which gives the company an edge over similar companies on this market. has created computing centers fitted with equipment capable of implementing machine learning and computing neural networks, as well as leveraging free resources in other sectors for optimum capacity utilization. holds its operation within high-margin environment, making its business highly profitable. Today, offers an opportunity to take part in this hi-tech project.
3 Project objective DEVELOPMENT OF A NETWORK OF STATE-OF-THE-ART COMPUTING CENTERS, WHICH ENABLE TO USE LARGE AMOUNTS OF COMPUTATIONAL POWER NOT ONLY FOR AI AND CRYPTOGRAPHIC COMPUTATIONS, BUT IN ALTERNATIVE SECTORS AND BUSINESS PROCESS 2018 Kazakhstan 20 MW total power permanent computing center has launched. The center is fitted with 6 MW equipment is ready to work Free trade zone in the Republic of Moldova 40 MW infrastructure permanent computing center has launched. The center is fitted with 4 MW equipment and is ready to work Special economic zone in the Kaliningrad region Commissioning of a container-type mobile computing center with potential power of 30 MW. The center is fitted with 2 MW equipment and is reday to work Development ofsites Launch and development at SEZ Zelenograd Development of the sites in Kazakhstan and the FTZ in the Republic of Moldova Development of the site in the Kaliningrad region with potential power increase up to 60 MW
4 Hardware speci cations: GW-8A in the computing center infrastructure - GPU model: Radeon RX 570/580 8 GB GDDR 5 - Number of GPUs: 8x - Integrated server-type power supply unit: Great wall (2000 W) - Mainboard: Н170 Intel Celeron / Core i3/i5/i7 / Xeon chipset - RAM: SSD up to 2 TB Air cooling system: 3 3A/12V fans - Durable metal housing: 437x165x381 mm - Power consumption: 1200 W - Auxiliary center infrastructure power consumption: 300 W - Hash rate: 220 MH/s ±5 % (Ethash) - Mains voltage: 220 V / 50 Hz - Designed for installation in 19-inch server rack There are of GW-8A in stock at
5 Hardware speci cations: GW-8N in the computing center infrastructure - GPU model: NVIDIA GTX GB GDDRX/ CMP GB / RTX GB - Number of GPUs: 8x - Integrated server-type power supply unit: Great wall (3400 W) - Mainboard: Custom Core i5/i7 / Xeon - RAM: SSD up to 2 TB Air cooling system: 3 3A/12V fans - Durable metal housing: 437x165x381 mm - Power consumption: 2000 W - Auxiliary center infrastructure power consumption: 400 W - Hash rate: FP GFLOPS/FP GFLOPS - Mains voltage: 220 V / 50 Hz - Designed for installation in 19-inch server rack There are of GW-8N in stock at
6 Speci cations of hardware under development: GW-8V and GW-8T 1. GW-8V is designed for machine learning 2. GW-8T is designed for machine learning Characteristics of the model in the structure of the computing center: Power consumption up to 2600 W, of which: 2100 W power consumed by equipment 500 W - power consumed by auxiliary infrastructure of the comput- Characteristics of the model in the structure of the computing center: Power consumption up to 2600 W, of which: 2100 W power consumed by equipment 500 W - power consumed by auxiliary infrastructure of the comput- ing center (cooling equipment, etc) GPU: AMD Vega 6416 Gb Number of GPUs - 8x Air cooling system: Air Cooling (3 coolers), 3A/12V Motherboard model: Custom Core i5/i7/ Xeon, SSD up to 2 TB Model of server-type power supply unit - Great Wall (3400 W) Equipment performance FP GFLOPS / FP GF LOPS Hash rate depends on the chosen algorithm ing center (cooling equipment, etc) GPU: NVIDIA Tesla TeslaV100 Number of GPUs - 8x Air cooling system: Air Cooling (3 coolers), 3A/12V Motherboard model: Custom Core i5/i7/ Xeon, SSD up to 2 TB Model of server-type power supply unit - Great Wall (3400 W) Equipment performance FP GFLOPS/ FP GFLOPS Hash rate depends on the chosen algorithm
7 Production steps for own-produced equipment GW-8A/N EQUIPMENT AND ITS PARTS ARE PRODUCED IN THE PRC, AT SUPPLIERS FACILITIES, WITH INDIVIDUAL GOWEB PROJECTS Chips and memory cards purchasing GPU card assembly GW-8A/N assembly Delivery to a warehouse and further logistics
8 WHY US 7 Developed industrial infrastructure and competitive market pricing 5 Team of professionals on use computation powers for AI and mining 8 CPU by AMD framework development and usage of CUDA by NVIDIA 6 Upfront accruals with online monitoring possibility 9 Legitimate legal framework and tax benefits 4 Low service charge allows user to start AI and mining computations more profitably. 2 Self-produced computing equipment in stock 3 Legal and transparent payments (dividends) 1 Low project entry barrier
9 Creation of the own infrastructure Technical support Production of equipment Ecosystem Construction of computing centers News portal Dashboard
10 Features of the online platform Account management Cloud computing time purchase GWB token purchasing Statistics and history Dividend drawing Client support
11 AI computations Token service purchasing User tasks Getting result Computation module selection, and purchasing necessary amount of computation time Technical support attaches hardware to user computation algorithm After consuming allocated computation time, user evaluates the result
12 Estimated AI investment growth Artificial Intelligence Revenue by Region, World Markets: Sourse: Tractica Cloud GPU computations demand will increase, backed up by a global market growth. Estimated AI global investment growth is shown on the Tractica s chart below.
13 Altcoin computing Payment Mining algorithm choosing Getting result Computation module selection and purchasing necessary amount of computation time Technical support attaches hardware to user computation algorithm After consuming allocated computation time, user evaluates the result (in crypto currency form)
14 Distribution of cryptocurrency market capitalization, $ bln % January 2017 January % 39% Bitcoin Altcoin 87% 61%
15 What the GWT token provides Participation in an efficient and transparent project An opportunity to draw dividends at the end of each year TOKEN NAME - GWT TYPE ERC223 STATUS SECURITY
16 Structure of partner relations and GWT tokens emission Founder 100% (direct shareholding of shares) Altus Citadel Nominees LTD (Cyprus) Declaration of Trust Token LTD (Belize) Issuer of security tokens Crypto Investors GWT Security tokens preferred shares 20% of share capital (direct shareholding of shares) Crypto Goweb International Ltd (BVI) Main holding company of the project (IP, team, office etc) 30% of profit are distributed as dividends of preferred shares ordinary shares 80% of share capital (direct shareholding of shares)
17 Purchasing GWT Security Tokens and dividend drawing Token sale will last 6 months: 2 months of PRE-STO and 4 months of STO
18 Alternatives of using the facilities PRIORITY COMPUTING TIME NEURAL NETWORKS/AI CRYPTOGRAPHIC COMPUTATIONS will use free computing facilities for crypto currency mining VR RENDERING
19 Computing time price and quantity Service Module description AI Slow module 3$ / hour GW-8N (8 x GTX1080) Hash rate: FP32-70,5 TFLOPS: FP64-2,2 TFLOPS AI Medium module 4$ / hour GW-8V (8 x Vega 64) Hash rate: FP32-100,5 TFLOPS: FP64-6 TFLOPS AI Fast module 5$ / hour GW-8T (8 x Tesla P100) Hash rate: FP TFLOPS: FP64-56 TFLOPS Mining module 0,20$ / hour GW-8A (8 x Rx570) Hash rate: 220 Mh/s (Ethash); 6300 H/s (CryptoNight) AI
20 Comparative analysis of prices on the market of computing time in the eld of machine learning Company GPU FP32 ( oat) GFLOPS FP64 (double) GFLOPS Price per hour, $ Price for 1 year, $ Price for 3 years, $ % di erene with X NVIDIA Vega 64 8X Vega TESLA 8X Tesla V Google 8x Tesla V , Amazon 8x Tesla V ,48 ($15,91/ hour) ($9,87/ hour) /68/49
21 Comparative analysis on the market of renting power for mining In order to calculate the economic benefit from cryptographic computations using GW8А equipment, basic parameters have to be identified, which we will use to calculate: Company Length of shortest contract Price of 220MH/s for length of contract, $ Price of 220MH/s for 1 hour, $ Price of 220MH/s for 1 year, $ Price of 220MH/s for 3 years, $ Genesis Mining 2 years , Hashflare 1 year , hour 0,2 0,
22 Roadmap Completed stages Q The establishment of International Ltd. Q MW farm launch in Romania Q Establishment of a research center for the development of components and software for computations in Shenzhen (China). Q Testing the GPU ATI Radeon RX4 70 prototype with 8 Gb memory for in-house equipment. Q Reaching agreements with manufacturers and signing supply contracts, raising funds from institutional investors. Q Launching manufacturing computing equipment - GW-8. Q Beginning the use of next-generation ATI Radeon RX 570 graphics cards with 8 Gb memory, manufactured by Micron. -Testing the prototype GPU GTX Gb for AI computing Q ,000 of GW-8A and 2,000 of GW-8N manufactured -Opening of a computing center in FTZ in the Republic of Moldova, 4 MW installed, 40 MW infrastructure, preparation of project definition for new generation GW-8 equipment. -Opening of a computing center in Kazakhstan, 6 MW installed, 20 MW infrastructure Q Preparation of technical and legal documentation of the project, drafting the White Paper.
23 Roadmap Completed stages Q Testing of AI components, collection of statistics for analysis. -Commissioning of the 2 MW mobile computing center in the special economic zone in Kaliningrad. Q Start of STO, allocation of tokens between users and launch of facilities -Installation of new equipment models in the computing center in the free trade zone of the Republic of Moldova. Connection of nextgeneration GW-8 computing equipment to the core network of the computing centers. -Final release of all the features of the online platform. Q Launch of the development of new-generation components in collaboration with partner companies. -Start of AI computing on GW-8N Q Completing STO and launching exchange trading of GWT tokens. -Launch of GW-8T computing equipment based on NVIDIA Tesla V100 GPU. Q Release of the prototype framework for AMD GPU. -Launch of the developed framework for AMG GPU and delivery of AI computing services on ATI Radeon RX and Vega cards -Start of upgrading of computing equipment and renewal of the fleet of cars at computing centers using the upgrade fund
24 BEGINNING OF SALE PRE-STO STO 1 GWT = 2,5$ PAYMENT BY BTC, ETH, FIAT 100 % GWT FOR SALE 2 MONTHS 1 GWT = 2,5$ SOFT САР = $12.5 MILLION 4 MONTHS 1 GWT = 3$ END OF SALE HARD CAP = $ MAX = GWT UNSOLD TOKENS WILL BE DESTROYED WHITE LIST GWT Token TOKENS CREATED, TYPE OF TOKEN: ERC223 Equipment installation Equipment upgrade Equipment Software development Logistics Insurance
25 Nikita Morozov FOUNDER / CEO Aleksey Novitsky СО-FOUNDER/ CHIEF TECHNOLOGY OFFICER Vladimir Novitsky CO-FOUNDER/ HEAD OF INVESTOR RELATIONS TEAM Irina Rogacheva CHIEF FINANCIAL OFFICER Tarlan Kornilov LEGAL DEPARTMENT DIRECTOR Igor Goncharov CHIEF TECHNICAL ANALYST OF THE CRYPTO-CURRENCY MARKET
26 Aleksandr Zavizion SENIOR SYSTEM ENGINEER Andrey Lakhov CHIEF BLOCKCHAIN ENGINEER Oleg Novitsky HEAD OF INFORMATION SECURITY DEPARTMENT Aleksandr Grankov BUSINESS DEVELOPMENT MANAGER
27 OUR PARTNERS
28 CONTACT US O cial website: GOWEB.COM Telegram: T.ME/GOWEBSTO Facebook FACEBOOK.COM/ GWSTO Twitter: TWITTER.COM/ GOWEBSTO Instagram: INSTAGRAM.COM/ GOWEB_STO SALES@GOWEB.COM
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