Information technology — Artificial intelligence — Overview of machine learning computing devices

This document surveys machine learning (ML) computing devices, including the following: — ML computing device terminology and characteristics; — existing approaches to the setting and use of characteristics for optimizing ML computing device performance. The information provided in this document is relevant for organizations of all types and sizes.

Technologies de l'information — Intelligence artificielle — Aperçu des dispositifs informatiques pour l'apprentissage automatique

General Information

Status
Published
Publication Date
05-May-2024
Current Stage
6060 - International Standard published
Start Date
06-May-2024
Due Date
16-Nov-2023
Completion Date
06-May-2024
Ref Project

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ISO/IEC TR 17903:2024 - Information technology — Artificial intelligence — Overview of machine learning computing devices Released:6. 05. 2024
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ISO/IEC DTR 17903 - Information technology — Artificial intelligence — Overview of machine learning computing devices Released:11. 12. 2023
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REDLINE ISO/IEC DTR 17903 - Information technology — Artificial intelligence — Overview of machine learning computing devices Released:11. 12. 2023
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Standards Content (Sample)

Technical
Report
ISO/IEC TR 17903
First edition
Information technology — Artificial
2024-05
intelligence — Overview of machine
learning computing devices
Technologies de l'information — Intelligence artificielle —
Aperçu des dispositifs informatiques pour l'apprentissage
automatique
Reference number
ISO/IEC TR 17903:2024(en) © ISO/IEC 2024

---------------------- Page: 1 ----------------------
ISO/IEC TR 17903:2024(en)
COPYRIGHT PROTECTED DOCUMENT
© ISO/IEC 2024
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below
or ISO’s member body in the country of the requester.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: +41 22 749 01 11
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland

© ISO/IEC 2024 – All rights reserved
ii

---------------------- Page: 2 ----------------------
ISO/IEC TR 17903:2024(en)
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Abbreviated terms . 5
5 ML computing device concepts . 5
5.1 Processing .5
5.2 Computing.5
5.3 Device .6
5.4 Infrastructure .6
5.5 Service .6
5.6 Performance .7
5.7 Computing device . .7
6 ML computing device characteristics . 7
6.1 Datatypes .7
6.1.1 General .
...

FINAL DRAFT
Technical
Report
ISO/IEC DTR 17903
ISO/IEC JTC 1/SC 42
Information technology — Artificial
Secretariat: ANSI
intelligence — Overview of machine
Voting begins on:
learning computing devices
2023-12-25
Voting terminates on:
2024-02-19
RECIPIENTS OF THIS DRAFT ARE INVITED TO SUBMIT,
WITH THEIR COMMENTS, NOTIFICATION OF ANY
RELEVANT PATENT RIGHTS OF WHICH THEY ARE AWARE
AND TO PROVIDE SUPPOR TING DOCUMENTATION.
IN ADDITION TO THEIR EVALUATION AS
BEING ACCEPTABLE FOR INDUSTRIAL, TECHNO­
LOGICAL, COMMERCIAL AND USER PURPOSES, DRAFT
INTERNATIONAL STANDARDS MAY ON OCCASION HAVE
TO BE CONSIDERED IN THE LIGHT OF THEIR POTENTIAL
TO BECOME STAN DARDS TO WHICH REFERENCE MAY BE
MADE IN NATIONAL REGULATIONS.
Reference number
ISO/IEC DTR 17903:2023(en) © ISO/IEC 2023

---------------------- Page: 1 ----------------------
ISO/IEC DTR 17903:2023(en)
FINAL
TECHNICAL ISO/IEC DTR
DRAFT
REPORT 17903
ISO/IEC JTC 1/SC 42
Information technology — Artificial
Secretariat: ANSI
intelligence — Overview of machine
Voting begins on:
learning computing devices
Voting terminates on:
COPYRIGHT PROTECTED DOCUMENT
© ISO/IEC 2023
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below
or ISO’s member body in the country of the requester.
ISO copyright office
RECIPIENTS OF THIS DRAFT ARE INVITED TO
CP 401 • Ch. de Blandonnet 8
SUBMIT, WITH THEIR COMMENTS, NOTIFICATION
CH-1214 Vernier, Geneva
OF ANY RELEVANT PATENT RIGHTS OF WHICH
THEY ARE AWARE AND TO PROVIDE SUPPOR TING
Phone: +41 22 749 01 11
DOCUMENTATION.
Email: copyright@iso.org
IN ADDITION TO THEIR EVALUATION AS
Website: www.iso.org Reference number
BEING ACCEPTABLE FOR INDUSTRIAL, TECHNO­
ISO/IEC DTR 17903:2023(E)
Published in Switzerland
LOGICAL, COMMERCIAL AND USER PURPOSES,
DRAFT INTERNATIONAL STANDARDS MAY ON

OCCASION HAVE TO BE CONSIDERED IN THE
© ISO/IEC 2023 – All rights reserved
LIGHT OF THEIR POTENTIAL TO BECOME STAN­
DARDS TO WHICH REFERENCE MAY BE MADE IN
NATIONAL REGULATIONS. © ISO/IEC 2023
ii

---------------------- Page: 2 ----------------------
ISO/IEC DTR 17903:2023(E)
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Abbreviated terms . 5
5 ML computing device concepts . 5
5.1 Processing . 5
5.2 Computing. 5
5.3 Device . 6
5.4 Infrastructure . 6
5.5 Service .
...

1 ISO/IEC DTR 17903:2023
2 ISO/IEC JTC 1/SC 42/WG 5
3 Secretariat: ANSI
4 Date: 2023-10-0612-11
5 Information technology — Artificial intelligence — Overview of
6 machine learning computing devices
7
8 DTRFDIS stage
9
10 Warning for WDs and CDs
11 This document is not an ISO International Standard. It is distributed for review and comment. It is subject to
12 change without notice and may not be referred to as an International Standard.
13 Recipients of this draft are invited to submit, with their comments, notification of any relevant patent rights of
14 which they are aware and to provide supporting documentation.
15
16
17 A model manuscript of a draft International Standard (known as “The Rice Model”) is available at
18 https://www.iso.org/iso/model_document-rice_model.pdf
19
© ISO #### – All rights reserved

---------------------- Page: 1 ----------------------
ISO #####-#:####(X)
© ISO 2023
2 © ISO #### – All rights reserved

---------------------- Page: 2 ----------------------
ISO/IEC DTR 17903:2023:(E)
© ISO/IEC 2023
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this
publication may be reproduced or utilized otherwise in any form or by any means, electronic or mechanical,
including photocopying, or posting on the internet or an intranet, without prior written permission. Permission can
be requested from either ISO at the address below or ISO’s member body in the country of the requester.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: + 41 22 749 01 11
EmailE-mail: copyright@iso.org
Website: www.iso.orgwww.iso.org
Published in Switzerland
© ISO /IEC 2023 – All rights reserved iii

---------------------- Page: 3 ----------------------
ISO/IEC DTR 17903:2023:(E)
Contents
Foreword . vi
Introduction .vi i
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Abbreviated terms . 5
5 ML computing device concepts . 5
5.1 Processing . 5
5.2 Computing . 5
5.3 Device . 6
5.4 Infrastructure . 6
5.5 Service . 7
5.6 Performance . 7
5.7 Computing device . 8
6 ML computing device characteristics . 8
6.1 Datatypes . 8
6.1.1 General .
...

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