Data EnvironmentsA Foundation for Automotive Transformation

11/20/2018

Oded SageeSr. Dir Product Marketing

January 19th, 2018

Forward-Looking Statements

SAFE HARBOR | DISCLAIMERS

This presentation contains forward-looking statements that involve risks and uncertainties,including, but not limited to, statements regarding our market positioning, product

development efforts, growth opportunities, business strategy, data growth and its drivers,and market trends. Forward-looking statements should not be read as a guarantee of futureperformance or results, and will not necessarily be accurate indications of the times at, or by,which such performance or results will be achieved, if at all. Forward-looking statements aresubject to risks and uncertainties that could cause actual performance or results to differmaterially from those expressed in or suggested by the forward-looking statements.

Additional key risks and uncertainties include uncertainties with respect to the company'sbusiness ventures with our joint venture partner; the impact of continued uncertainty andvolatility in global economic conditions; actions by competitors; difficulties associated withgo-to-market capabilities; business conditions; growth in our markets; and pricing trendsand fluctuations in average selling prices. More information about the other risks anduncertainties that could affect our business are listed in our filings with the Securities andExchange Commission (the “SEC”) and available on the SEC’s website at www.sec.gov,including our most recently filed periodic report, to which your attention is directed. We donot undertake any obligation to publicly update or revise any forward-looking statement,whether as a result of new information, future developments or otherwise, except asotherwise required by law.

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DON’T SAVE THE BEST FOR LAST!

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D A T A

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VehicleCloud

Infrastructure

STORAGE

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Mesh Networks

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Infrastructure Cloud

Data Processing and Analytics

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Real Time ExecutionInference

Near Real TimeAggregation

Off-LineBig Data Analytics

Model Training

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Limitations

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Environment,Design,

Cost

Bandwidth, Connectivity,Security, Latency

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Cloud & Network Limitations

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Storage at the EDGE can compensate and facilitate:

Bandwidth

Latency

Connectivity

Security

New Requirements from Storage

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The Mobile Use Case

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Demanding Storage Specifications

Need for affordable solutions

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Automotive — a Bigger Challenge

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Demanding Storage Specifications

Need for affordable solutions

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NAND level

System levelASIC + FW

Application level

Solutions

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New Requirements from Storage

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Environment RecordingLocal Data

baseStorage

Temperature Endurance Integrity Retention

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Understanding Use Cases

EDGE to Core Architecture

– Distributed versus Centralized

Data:

– How data is written, read, kept

– What are the operational conditions (use profile)

Interface / Form Factor:

– BGA; Plug-in Board; Removable

– UFS; e.MMC; SD; NVMe.

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Temperature and Cross Temperature

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Endurance Requirements Have Changed

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READ/WRITE

AUTONOMOUS/AI

WRITEDATA

RECORDERS

READIVI

Data Retention

Power-on data retention

–Read disturb, cold data are concerns

–Controller + FW are the ideal solution

Power-off data retention

– JEDEC Standard is 10 years for fresh device – 1 year for fully cycled

–Data retention is impacted by how much the device was cycled

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Data Integrity

Protection against bit flip – e.g. alpha particles

Protection against wear – smart partitions– OS

– Apps

– Data base - maps

– Recording

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Don’t save the best for last!

Predicting the future

Cloud to EDGE data structures and patterns

Understanding how local data should be handled / use case

Form factor and environment conditions

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Let’s work together NOW to define future Data Environments!

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