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This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
Remove the waste.
Release the power.
Iliam Barkino, VP Corporate Development
iliam.barkino@zptcorp.com
Nilesh Shah, VP Business Development
nilesh.shah@zptcorp.com
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
Hyperscalers are spending billion of dollars on SW-based
compression, and now require HW-based compression
4.6%
3%
Data Centers are spending capacity
on software based compression
CPU cycles used
for compression
Meta & Google have stated that
hardware compression is a MUST-
have
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
Hardware compression allows for same performance with
less hardware and less energy spending in operation
Hardware
compression
Less hardware
Hardware compression allows
data centers to maintain
performance with less
hardware, which:
• Reduces CO2-footprint of
purchasing components
• Reduces CAPEX
Less energy
Hardware compression
increases energy efficiency
which in turn:
• Reduces CO2-footprint of
running and cooling servers
• Reduces OPEX of running and
cooling servers
• Regains wasted CPU cycles
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
How? By reducing data loads without losing information,
leading to increased capacity
Memory before
Data A
Data B
Data C
Data D
Data E
Data F
Data G
Data H
Data I
Memory after
Data A Data B
Data C Data E
Data F Data G Data I
Data D
Data H
Free space
Free space
Free space
Free space
Free space
Free space
Useful data Redundant data 2-4x more capacity
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
Our technology is used in products across the memory
hierarchy
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
CXL & Cache compression is not possible today - we can do
it as we are 1,000x faster than today’s alternative
3,000 -
10,000 ns 1,000 -
4,000 ns
Today’s technologies
(SW)
Potential of today’s
technology (HW)
Maximum for
Cache compression
Our hardware
compression
20-30 ns
3-5 ns
Latency benchmark of compression technologies
(Area of circle = latency in nanoseconds)
Maximum for
CXL compression
100-200 ns
1,000x
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
ZeroPoint help reduce TCO of data center by 20-25%
Today With CXL only With our
compression only
With CXL & Our
compression
~850
~780
~700
~650
-20-25%
CAPEX: CPU
CAPEX: Memory
CAPEX: Other
OPEX: Power
OPEX: Cooling
OPEX: Other
Waste: Compression tax
Total Cost of Ownership (TCO) for 40 server rack over 3y lifetime [kUSD]
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
And TCCO is reduced by 25-30%, leading to a improved
sustainability profile
Today With CXL only With our
compression only
With CXL & Our
compression
- 25-30%
Embodied CO2
Operational CO2
Total Carbon Cost of Ownership (TCCO) for 40 server rack, estimate
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
ZeroPoint provides IP to developers who can unlock value for
Hyperscalers and System integrators
Hyperscalers
CXL controller developers System integrators
Processor (xPU) developers
Potential customers Main beneficiaries
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
We are engaged in multiple standard bodies
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
And we showcase the compression at our CXL booth
This document is Proprietary and Confidential. No part of this document may be disclosed in any
manner to a third party without the prior written consent of ZeroPoint Technologies AB.
Call for action | Engage now to not miss out
You are Call for action
Hyperscalers System integrators
CXL controller developers
Processor (xPU) developers
Meet Angelos & Dimitrios at CXL
Booth, see demo for yourself
Ratify requirements jointly at
JEDEC, SNIA, CXL Consortium
Join in 3-party discussions with
controller developers

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ZeroPoint: Compression for CXL Memory

  • 1. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. Remove the waste. Release the power. Iliam Barkino, VP Corporate Development iliam.barkino@zptcorp.com Nilesh Shah, VP Business Development nilesh.shah@zptcorp.com
  • 2. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. Hyperscalers are spending billion of dollars on SW-based compression, and now require HW-based compression 4.6% 3% Data Centers are spending capacity on software based compression CPU cycles used for compression Meta & Google have stated that hardware compression is a MUST- have
  • 3. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. Hardware compression allows for same performance with less hardware and less energy spending in operation Hardware compression Less hardware Hardware compression allows data centers to maintain performance with less hardware, which: • Reduces CO2-footprint of purchasing components • Reduces CAPEX Less energy Hardware compression increases energy efficiency which in turn: • Reduces CO2-footprint of running and cooling servers • Reduces OPEX of running and cooling servers • Regains wasted CPU cycles
  • 4. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. How? By reducing data loads without losing information, leading to increased capacity Memory before Data A Data B Data C Data D Data E Data F Data G Data H Data I Memory after Data A Data B Data C Data E Data F Data G Data I Data D Data H Free space Free space Free space Free space Free space Free space Useful data Redundant data 2-4x more capacity
  • 5. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. Our technology is used in products across the memory hierarchy
  • 6. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. CXL & Cache compression is not possible today - we can do it as we are 1,000x faster than today’s alternative 3,000 - 10,000 ns 1,000 - 4,000 ns Today’s technologies (SW) Potential of today’s technology (HW) Maximum for Cache compression Our hardware compression 20-30 ns 3-5 ns Latency benchmark of compression technologies (Area of circle = latency in nanoseconds) Maximum for CXL compression 100-200 ns 1,000x
  • 7. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. ZeroPoint help reduce TCO of data center by 20-25% Today With CXL only With our compression only With CXL & Our compression ~850 ~780 ~700 ~650 -20-25% CAPEX: CPU CAPEX: Memory CAPEX: Other OPEX: Power OPEX: Cooling OPEX: Other Waste: Compression tax Total Cost of Ownership (TCO) for 40 server rack over 3y lifetime [kUSD]
  • 8. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. And TCCO is reduced by 25-30%, leading to a improved sustainability profile Today With CXL only With our compression only With CXL & Our compression - 25-30% Embodied CO2 Operational CO2 Total Carbon Cost of Ownership (TCCO) for 40 server rack, estimate
  • 9. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. ZeroPoint provides IP to developers who can unlock value for Hyperscalers and System integrators Hyperscalers CXL controller developers System integrators Processor (xPU) developers Potential customers Main beneficiaries
  • 10. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. We are engaged in multiple standard bodies
  • 11. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. And we showcase the compression at our CXL booth
  • 12. This document is Proprietary and Confidential. No part of this document may be disclosed in any manner to a third party without the prior written consent of ZeroPoint Technologies AB. Call for action | Engage now to not miss out You are Call for action Hyperscalers System integrators CXL controller developers Processor (xPU) developers Meet Angelos & Dimitrios at CXL Booth, see demo for yourself Ratify requirements jointly at JEDEC, SNIA, CXL Consortium Join in 3-party discussions with controller developers