Slide 1: Life on the Edge
Life on the Edge Copyright © 2024 Blaize. All rights reserved. Copyright © 2024 Blaize. All rights reserved.
Slide 2: Disclaimer
Disclaimer 2 Copyright © 2024 Blaize. All rights reserved. About this Presentation This investor presentation (this “Presentation”) is provided for informational purposes only to assist interested parties in making their own evaluation with respect to the proposed business combination (the “Business
Slide 3: Disclaimer (Cont'd)
Disclaimer (Cont’d) 3 Copyright © 2024 Blaize. All rights reserved. Cautionary Statement Regarding Forward - Looking Statements Certain statements included in this Presentation that are not historical facts are forward - looking statements for purposes of the safe harbor provisions under the United
Slide 4: Disclaimer (Cont'd)
Disclaimer (Cont’d) 4 Copyright © 2024 Blaize. All rights reserved. Industry and Market Data This Presentation has been prepared by BurTech and Blaize and includes market data and other statistical information from third - party sources, including independent industry publications, governmental publ
Slide 5: Overview of BurTech Acquisition Corp. Leadership
Overview of BurTech Acquisition Corp. Leadership Shahal Khan Chairman & CEO 5 Copyright © 2024 Blaize. All rights reserved. Mr. Khan’s career as an investor, entrepreneur and social venture capitalist spans over 22 years, with investments encompassing telecoms, real estate, energy, natural resources
Slide 6: Lane Bess, Chairman; Overview of Blaize's Board
Lane Bess Chairman Lane Bess is the CEO of Deep Instinct, and former Palo Alto Networks (NAS:PANW) CEO and Zscaler (NAS:ZS) COO. Bess has spent over 30 years as an operational executive and successfully launched start - ups and grown medium - sized businesses to large scale. Between 2008 and 2011, B
Slide 7: Blaize – Life on the Edge
Blaize – Life on the Edge Edge computing brings data processing closer to the devices that generate and use it, reducing latency and improving real - time decision - making Blaize ® has created a transformative new compute solution that unites silicon and software to optimize Al from the Edge to the
Slide 8: Blaize's Experienced Leadership Team
Blaize’s Experienced Leadership Team Harminder Sehmi CFO Doug Burns Chief People Officer Dmitry Zakharchenko Chief Software Development Officer Alex Tinsley SVP, Sales Tiffany Tan Chief of Staff Brian Kurtz VP, Product Management and Planning Val Cook Chief Software Architect Founders Senior Managem
Slide 9: Strong Momentum and Technological Focus to Drive Accelerated AI Adoption
Strong Momentum and Technological Focus to Drive Accelerated AI Adoption Copyright © 2024 Blaize. All rights reserved. 9 1. See page 12 for additional detail on SAM 2. See page 25 for definition; None of these definitions are intended to imply that Blaize has entered into a binding contract for the
Slide 10: The Right Platform For The Future Of Edge AI Computing
The Right Platform For The Future Of Edge AI Computing Copyright © 2024 Blaize. All rights reserved. Experienced Leadership with Blue - Chip Background 1. See page 12 for additional detail on SAM 10 2. See page 25 for definition Investment Highlights Full - Stack Hardware and Software Solution Built
Slide 11: The World is Moving Towards AI Everywhere
The World is Moving Towards AI Everywhere Copyright © 2024 Blaize. All rights reserved. 11 Centralized Processing in the Data Center Data processing will no longer be limited to the centralized cloud - processing will occur in the physical world at the Edge Before AI 1.0 The IT World Focused on Trai
Slide 12: Blaize is Targeting Tremendous Market Growth Across AI Deployments
Blaize is Targeting Tremendous Market Growth Across AI Deployments Focused on high - growth verticals where Edge AI has the largest impact Copyright © 2024 Blaize. All rights reserved. Source: Omdia (AI Processors for the Edge Forecast Report), Blaize Estimates, Gartner (Forecast A I 12 Semiconducto
Slide 13: Blaize – Complete Solutions to Enable AI Inference at the Edge
Blaize – Complete Solutions to Enable AI Inference at the Edge Full - stack hardware and software platform enabling AI to run at the Edge Built Through over a Decade of R&D with Close Customer Engagement Accelerators and Platforms for Edge Systems Ecosystem of Industry Relationships for Turnkey Depl
Slide 14: Blaize Demonstrates Improved Edge Performance vs. GPU
Blaize Demonstrates Improved Edge Performance vs. GPU 62.7 ms 30.0 ms 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 GPU Blaize X1600P - Q Latency 2 x 3.83 FPS/TOP 12.5 FPS/TOP 0 2 4 6 8 10 12 14 GPU Blaize X1600P - Q TOPs Efficiency 3 x 147 FPS/$1000 308 FPS/$1000 0 50 100 150 200 250 300 350 GPU Blaize X1
Slide 15: • Rapidly process visual and sensor data to identify potential threats in real time
• Rapidly process visual and sensor data to identify potential threats in real time • Integrated into Edge server appliance • Processing computing streams from 1 , 000 s of cameras • Integrated into VMS system compute unit • Customer behavior analysis • Incident management • Integrated in industrial
Slide 16: Illustrative Case Study – Security and Monitoring
Illustrative Case Study – Security and Monitoring Turnkey hardware and software solution enabling tactical security and monitoring for in - field defense Dashboards for AI Command and Control Key Benefits from AI Dashboard Equipment health monitoring: Detects early wear for proactive maintenance Opt
Slide 17: Illustrative Case Study – Healthcare
Illustrative Case Study – Healthcare Potential comprehensive solution for X - ray AI analysis for a large healthcare network Blaize Multimodal Dashboards Key Benefits Delivered x Patient Prioritization based on Urgency x High Clarity and Clinical Accuracy x Intuitive Dashboard to Extract Insights x
Slide 18: Illustrative Case Study – Automotive Design Work
Illustrative Case Study – Automotive Design Work Proof - of - concept of multi - target compiler to enable auto customers to deploy ADAS across any hardware platform Unifying Automotive Hardware: Blaize’s Multi - Target Auto Compiler unifies diverse hardware languages into a unified codebase , enabl
Slide 19: Significant Near-Term Revenue Opportunities with Long-Term Pipeline Visibility
Significant Near - Term Revenue Opportunities with Long - Term Pipeline Visibility Demonstrated technological capability with a large and growing pipeline to drive sales momentum Copyright © 2024 Blaize. All rights reserved. ~$400M+ 1 of total Qualified Pipeline 2 opportunities with several customer
Slide 20: Up to $104M Purchase Order in Hand from EMEA-Based Defense Entity
Up to $104M Purchase Order in Hand from EMEA - Based Defense Entity 20 Copyright © 2024 Blaize. All rights reserved. Automated Identification System Scene 1 Scene 2 Scene 3 “Unknown” subject detected by a drone flying overhead and depicted by the green bounding box Subject has the proper infrared he
Slide 21: Track Record in Auto Demonstrates ADAS and AV Potential
Track Record in Auto Demonstrates ADAS and AV Potential Years of experience working with leading automotive partners Copyright © 2024 Blaize. All rights reserved. NRE = Non - Recurring Engineering 21 1. Compared to Blaize’s current generation chip 2. Blaize is not currently under contractual arrange
Slide 22: Blaize's Longstanding Relationship with Denso-NSI
Blaize’s Longstanding Relationship with Denso - NSI Deep partnership experience sets the foundation for next generation automotive platforms Copyright © 2024 Blaize. All rights reserved. Source: Denso public filings, Capital IQ as of 11/6/24 22 ASIL - B = Automotive Safety Integrity Level B; ASRA =
Slide 23: Blaize – Optimizing the Edge
Blaize – Optimizing the Edge Copyright © 2024 Blaize. All rights reserved. 1. See page 12 for additional detail on SAM 23 2. See page 25 for definition The right platform for the future of Edge AI computing Full - Stack Hardware and Software Solution Built for AI Inference at the Edge Platform built
Slide 24: Transaction Summary
Transaction Summary Copyright © 2024 Blaize. All rights reserved. Transaction overview ▪ Blaize shareholders will roll 100% of their equity and will own a pro forma equity ownership of approximately 86.7% on a non - fully diluted basis. ▪ Since January 2024, Blaize has received $110.7 million in pro
Slide 25: Definitions of Key Terms
Definitions of Key Terms Copyright © 2024 Blaize. All rights reserved. None of these definitions are intended to imply that Blaize has entered into a binding contract for the future 25 revenue with any 3rd party. Blaize is not representing any guarantee of future revenue with any 3rd party • Design
Slide 26: Risks
Risks 26 Copyright © 2024 Blaize. All rights reserved. We have a history of operating losses, and we may not be able to generate sufficient revenue to achieve and sustain profitability. Our recent growth rates may not be indicative of our future growth. Our independent registered public accounting f
Slide 27: Risks (continued)
Risks (continued) 27 Copyright © 2024 Blaize. All rights reserved. We may need to reduce or change our pricing model to remain competitive. If we fail to adapt and respond effectively to rapidly changing technology, evolving industry standards, and changing customer needs or preferences, our platfor
Slide 28: Risks (continued)
Risks (continued) 28 Copyright © 2024 Blaize. All rights reserved. If we fail to execute invention assignment agreements with our employees and contractors involved in the development of intellectual property or are unable to protect the confidentiality of our trade secrets, the value of our product
Slide 29: Appendix: Blaize's Technology Innovations
Copyright © 2024 Blaize. All rights reserved. Copyright © 2024 Blaize. All rights reserved. 29 Appendix: Blaize’s Technology Innovations
Slide 30: Traditional CPU/GPU Architecture vs. Blaize Graph Streaming Processor
Legacy Sequential Processing CPU/GPU Tasks completed before data sent to next node High memory bandwidth requirements to store data while tasks complete Low memory bandwidth requirements as data is sent directly to next node Data sent to next node when ready (streams through the device) Output 1 Inn
Slide 31: With Advanced Flexibility, Blaize Does More
With Advanced Flexibility, Blaize Does More Ability to run multiple workloads for different Edge use cases and reduce strain on CPU/GPU resources Blaize Covers More Workflow 2 Innovation Pre - Processing AI Model Inference Post - Processing Frame Extraction Motion Detection Background Subtraction Bl
Slide 32: Multiple Tasks can Run in Parallel on a Single Chip
Multiple Tasks can Run in Parallel on a Single Chip Adapts to Changing Data and Conditions Able to Run a Mix of Workloads and Neural Networks AI models are being developed at an unprecedented pace, with new models introduced daily , necessitating adaptable technologies to support AI evolution A Prog
Slide 33: Blaize Software Swiftly Deploys AI for Real-Time Insights
1. ML - Ops, or machine learning operations, is a practice focused on deploying and maintaining machine learning models in production efficiently 33 2. On - prem, or on - premises, refers to software or IT infrastructure hosted on an organization’s premises Copyright © 2024 Blaize. All rights reserv
Slide 34: No-Code AI Studio Accelerates AI Adoption
No - Code AI Studio Accelerates AI Adoption AI Studio reduces anticipated deployment time and dependency on scarce and expensive engineering resources 5 Innovation Penetrates Customers Beyond CTO Organization into Traditional IT Departments CTO CIO / IT department AI Studio Users AI / ML experts Tra
Slide 35: Appendix: Market, Product, and Business
Copyright © 2024 Blaize. All rights reserved. Copyright © 2024 Blaize. All rights reserved. 35 Appendix: Market, Product, and Business
Slide 36: Edge Computing is the Future of Real-Time, Secure Data Processing
Edge Computing is the Future of Real - Time, Secure Data Processing Low Power Consumption Energy - efficient operations , requiring less power than within data centers Reduced Data Transmission Lower data transfer volumes minimizing costs for data transfer to and from data centers Cost Effective Den
Slide 37: Blaize's Solutions are Purpose-Built for Edge AI
Blaize’s Solutions are Purpose - Built for Edge AI Edge Devices Edge Server Public Cloud Centralized Data Centers Focused on what matters at the Edge, complementing the central processing power needed for GenAI Cloud Chip Providers Providing Improved Efficiency where Edge Compute Matters Focused on
Slide 38: Blaize Solves Companies' Top Impediments to AI Adoption
Blaize Solves Companies’ Top Impediments to AI Adoption… Limited expertise, complexity, and lack of tools are among the top challenges Top Barriers Hindering Successful AI Adoption Include Have Limited AI Skills and Expertise Believe there is Too Much Data Complexity Believe AI Projects are Too Diff
Slide 39: Accelerators and Embedded Systems: An End-to-End Solution for Edge AI
Accelerators and Embedded Systems …With an End - to - End Solution for Edge AI Extending far beyond the chip to provide complete hardware and software solutions for Edge AI deployment Marketplaces for Pre - Trained Solutions Low/No - Code Application Development Graph Streaming Processor Architectur
Slide 40: Architecture in Action – Enabling Multiple Tasks to be Run in Parallel
Architecture in Action – Enabling Multiple Tasks to be Run in Parallel Task B Input Video Filtering Sobel - Feldman Convolution Edge Detection Video Scaling Task C Object Detection YOLOv8 50+ other Networks Optimized Most New Networks Run without Customization Task D Image Analysis RGB Histogram Tas
Slide 41: Advanced Feature Set Today with a Strong Roadmap for Tomorrow
Advanced Feature Set Today with a Strong Roadmap for Tomorrow Building on a comprehensive technology foundation with advancements to meet customers’ future needs Latest models: Ability to run the latest multi - modal models Multi - tasking: Efficient execution of multiple heterogeneous tasks Optimiz
Slide 42: Complete solution designed to lead across Edge applications
Copyright © 2024 Blaize. All rights reserved. GSP = Graph Streaming Processor; GPU = Graphics Processing Unit; SoC = System on Chip; 42 ASIC = Application Specific Integrated Circuit; FPGA = Field Programmable Gate Array Complete solution designed to lead across Edge applications GPU SoCs ASICs FPGA
Slide 43: World Class Suppliers and Engineering Footprint
Auto / Systems HQ / Architecture Al Studio Core Engineering World Class Suppliers and Engineering Footprint Key Supplier Relationships Deep relationships and capabilities across the technical and operational landscape Global Footprint 43 2. USA silicon manufacturing is planned Copyright © 2024 Blaiz
Slide 44: www.blaize.com
Copyright © 2024 Blaize. All rights reserved. 44 www.blaize.com