4DS Memory presenting at Semiconductor Australia 2024
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4DS Memory Limited | ABN 43 145 590 110
Level 2, 50 Kings Park Road, West Perth WA 6005
PO Box 271, West Perth WA 6872
+61 8 6377 8043 | [email protected] | www.4dsmemory.com
24 October 2024
4DS Memory presenting at Semiconductor Australia 2024
4DS Memory Limited (ASX:4DS) advises Chief Strategic Officer Mr Peter Himes will present at
Semiconductor Australia 2024 today, Thursday, 24 October 2024, at 11:45am AEDT. Peter’s
presentation for the conference is attached to this announcement.
The one-day Conference is held at Deloitte, Quay Quarter Tower from 8am – 6pm. This inaugural event
brings together Australia’s deep-tech entrepreneurs, industry experts, innovation policy makers, and
investor community to explore opportunities and chart the roadmap to secure Australia’s semiconductor
future.
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ENDS
Authorised for release by the Board.
Contact information
David McAuliffe
Executive Chairman
4DS Memory
+61 408 994 313
[email protected]
About 4DS
4DS Memory Limited (ASX: 4DS), with facilities located in Silicon Valley, is a semiconductor technology company
bringing high bandwidth, high endurance, persistent non-volatile memory to advanced CMOS process nodes. Its
technology, known as Interface Switching ReRAM, features tunable persistence and low energy per bit for today’s
most challenging compute intensive and AI processor applications. Established in 2007, 4DS owns a patented IP
portfolio, comprising 34 USA patents, and is the first company to develop PCMO ReRAM, on an advanced CMOS
processing node. 4DS has a development agreement with Belgium based imec – a world leading research and
innovation hub in nano electronics and digital technologies, as well as a joint development agreement with Western
Digital subsidiary HGST, a global leader in storage solutions.
For more information, please visit www.4dsmemory.com
Disclaimer
This release contains certain forward-looking statements that are based on the Company’s management’s beliefs, assumptions
and expectations and on information currently available to management. Such forward looking statements involve known and
unknown risks, uncertainties, and other factors which may cause the actual results or performance of 4DS to be materially different
from the results or performance expressed or implied by such forward looking statements. Such forward looking statements are
based on numerous assumptions regarding the Company’s present and future business strategies and the political and economic
environment in which 4DS will operate in the future, which are subject to change without notice. Past performance is not
necessarily a guide to future performance and no representation or warranty is made as to the likelihood of achievement or
reasonableness of any forward-looking statements or other forecast. To the full extent permitted by law, 4DS and its directors,
officers, employees, advisers, agents and intermediaries disclaim any obligation or undertaking to release any updates or
revisions to information to reflect any change in any of the information contained in this release (including, but not limited to, any
assumptions or expectations set out in the release).
You should not place undue reliance on these forward-looking statements. Except as required by law or regulation (including the
ASX Listing Rules) we undertake no obligation to update these forward- looking statements.
Beyond Barriers: Enabling Future AI
PERSISTENT RERAM
FROM 4DS MEMORY
A high speed, high endurance, low energy memory
technology to enable Future AI systems
Peter Himes | Chief Strategic Officer
OCTOBER 2024
About 4DS Memory
Began groundbreaking work on PCMO ReRAM in 2007
Strategic relationship with HGST (now WD) in 2014
Public on ASX (Australia) in 2015
Started advanced process development with imec in 2017
Improved PCMO cell design efforts started in 2020
Latest generation Mb chip using 60nm cell fabricated in 2023
34th US patent issued 2023
20nm Mb chip (with 1.6B elements) to be run at imec in 2024
4DS is the only
company to
demonstrate
PCMO ReRAM
on an advanced
CMOS node
What are the challenges facing AI
companies today?
SCALE
ENERGY
SPEED
LATENCY
Big data compute needs are
scaling exponentially
The power needed to run
increasingly large models
constrains use cases
As computational needs
scale, everything must work
at higher speeds to maintain
responsiveness
As performance demands
greater scale the tolerance
for system latencies due
to memory bandwidths
evaporates
OPTIMISATION
ADAPTATION
FAULT TOLERANCE
COST
Reducing model size without
compromising performance
and reliability is a key
differentiator across players
The ability of models to
adapt based on changing
resources and conditions
Increasing cluster sizes of big
data systems brings higher
system fault risks.
Instantaneous recovery is vital
Balancing the cost of AI
systems with real world
economic constraints
What are today’s approaches to solve?
MORE SRAM
MORE DRAM
FASTER DRAM
The most advanced AI
processor chips have
up to 280MB of SRAM
on board
The need to hold larger
and larger datasets in
memory drives the need
for more DRAM banks
Compute latency
due to data
transfer from
DRAM – CPU or
GPU
MORE INTEGRATION
BIGGER CLUSTERS
HYBRID MEMORIES
Compute In Memory to
address data transfer
cost
More clusters for larger
datasets and faster
processing
NV SRAM, PMEM, CXL – all
are approaches to address
some of the challenges by
combining different
technologies
How should an advanced memory help
these challenges?
ZERO LATENCY
HIGH ENDURANCE
HIGH SCALE
but most NV
technologies are slow
but NV technologies suffer
from low lifetime
but embedded
memory options
are few
LOW ENERGY
LOW COST
HIGH RETENTION
but DRAM requires
constant refresh even
for static data
but some advanced
memories require expensive
ALD integration
but persistence, speed and
endurance have long been
trade offs
What is PCMO and why is it unique?
Current is spread across entire interface area
Low current densities lead to high cell endurance
Top electrode
Thin oxide layer
FAST
Super fast programming
Perovskite layer comprised of:
Praseodymium
Calcium
Manganese
Oxygen
One Shot write
Area based current
High endurance material
Bottom electrode
E Field injects or
removes oxygen from
PCMO vacancies
4DS: Persistent Memory at DRAM Speeds
Highly responsive PCMO
with extremely fast single-shot
write* times of 4.7ns to deliver
low energy per bit writing at
DRAM speeds
High endurance and high
retention sectors can be
dynamically allocated with data
retention from hours to months
High bandwidth persistent
memory for high performance
data protection
High scale and density
w 20 nm cell (to be
demonstrated Q4 2024)
High endurance memory
with up to 109 endurance
demonstrated
Area based programming,
energy scales with size
Pulse programmable for
Analog characteristics
* Switching in PCMO is thru Electric Pulse Induced Resistance switching, or EPIR
4DS – The Memory that Breathes ©
Why important? Warm Data Applications
Data at DRAM speeds that doesn’t need constant
updating
Prevalent in Inference (as opposed to Training) AI
Engines
Lowers energy cost of memory for inference applications
Complement to CXL bus memory but at faster access,
response times
Can be In Memory or Near Memory Compute
Jovanovic, Bojan & Brum, Raphael & Torres, Lionel. (2015). MTJ-based hybrid storage
cells for “normally-off and instant-on” computing. Facta universitatis - series:
Electronics and Energetics. 28. 465-476. 10.2298/FUEE1503465J.
4DS believes that both CXL and Warm Data need a memory that responds at the speed
of DRAM
Why important? Persistent Memory for
Big Data Applications
Combines the speed of DRAM with long term data retention
Enables faster data access and improved system reboot
Lowers energy cost of memory for inference applications
Integrates seamlessly into the memory hierarchy, residing between
volatile memory and storage devices
Can provide extra memory capacity to DRAM for big data analytics, or
can be ultrafast storage for in-memory databases
Persistent memory combines speed, resilience, and capacity with nonvolatility, making it a great option for applications demanding rapid data
access and retention
Intel PMEM structure
4DS believes there is still an unmet need for a high bandwidth persistent memory
solution and that 4DS could potentially deliver that solution
Why important? High Bandwidth, Low
Energy Memory for Edge AI Applications
Edge AI needs to deliver the same AI performance
within highly constrained resources
Many edge applications are battery powered
meaning power consumption becomes a primary
design constraint
Low cost and low pincount requirements add to the
system design challenges for Edge AI applications
A memory technology needs to meet the speed
requirements while contributing to power savings and
efficiency
ISPD 2024, “Computing Architecture for Large Language Models
(LLMs) and Large Multimodal Models (LMMs),” Bor-Sung Liang
4DS believes that PCMO ReRAM can be an ideal candidate for this emerging
memory need
Thank you for your time
Beyond Barriers: Enabling Future AI
FOR MORE
INFORMATION
Registered Office
Level 2, 50 Kings Park Road
West Perth WA 6005
USA Office
3155 Skyway Court
Fremont CA 94539
Postal Address
PO Box 271
West Perth WA 6872
Phone +61 6377 8043
Email [email protected]
Web 4DSmemory.com
Chief Strategic Officer
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