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Scalable Memory Expansion,
Pooling and Sharing for AI
Computing with CXL Switch
XConn Technologies Inc.
1
The Ever Ballooning AI Models
• Requiring scalable memory capacity and bandwidth
• Requiring low latency and high bandwidth interconnect between
heterogeous computing units
https://medium.com/riselab/ai-and-memory-wall-2cb4265cb0b8
XConn’s CXL 2.0 Switch
2,048 GB/s total
BW with 256 lanes
Lowest port-to-port latency
Lowest power consumption/port
• Works with CXL 1.1 server processors, CXL memory devices
• Future compatible with the upcoming CXL 2.0 processors
• Works in hybrid mode (CXL/PCIe mixed)
• CS (customer samples) available now, MP 2Q24
Reduced PCB area
Lower TCO
World’s First CXL2.0
(XC50256) & PCIe 5.0
(XC51256) switch IC
CMS: Scalable Memory Pooling &
Sharing Enabled by CXL 2.0 Switch
• One single XC50256 connects to 32 combined hosts/devices
• Fully support CXL Fabric Manager
• Support switch cascading for a larger size memory pool
Memory Pooling/Sharing with
CXL 1.1 Hosts and Single Logical Devices
H#
H1 H3 H4
H2
D#
D1 D3
D4
D2
CXL 2.0 Switch
Memory Pooling with CXL 2.0 Hosts and
Multiple Logical Devices
D#
H#
D1
H1
D3
H3
D4
H4
D2
H2
CXL 2.0 Switch
ManagementHost
(CXL FabricManager)
ManagementHost
(CXL FabricManager)
Demo of CXL Memory Pooling
Apollo Ref. Board
CXL Host 0
Management
Host (FM)
CXL Host 1
CXL Memory
Expander 0
CXL Memory
Expander 1
CXL Memory is
allocated/released
from/back to the
pool when demand
increases/subsides
Elastic Memory Pool with Apollo Switch
Demo of CXL Memory Sharing
Apollo Ref. Board
CXL Host 0
Management
Host (FM)
CXL Host 1
CXL Memory
Expander 0
CXL Memory
Expander 1
XConn’s Upcoming CXL3.1/PCIe6.1 Switch
for AI Systems: A Game Changer
Memory pooling/sharing/expansion
Supports All-to-All with scalable
large switching capacity
Fit for All-reduce, All-gather with
super low latency and high
bandwidth switching
Scablable fabric network with up to
4,096 CXL devices
Hybrid CXL/PCIe mode to connect
CXL and PCIe devices
Works with emerging CXL devices,
e.g. In Memory Compute
Lower total power consumption to
reduce energy cost
Address:
1245 S. Winchester Blvd
San Jose, CA 95128
Web:
Https://www.xconn-tech.com
Email:
JP.Jiang@xconn-tech.com

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XConn: Scalable Memory Expansion and Sharing for AI Computing with CXL Switches

  • 1. Scalable Memory Expansion, Pooling and Sharing for AI Computing with CXL Switch XConn Technologies Inc. 1
  • 2. The Ever Ballooning AI Models • Requiring scalable memory capacity and bandwidth • Requiring low latency and high bandwidth interconnect between heterogeous computing units https://medium.com/riselab/ai-and-memory-wall-2cb4265cb0b8
  • 3. XConn’s CXL 2.0 Switch 2,048 GB/s total BW with 256 lanes Lowest port-to-port latency Lowest power consumption/port • Works with CXL 1.1 server processors, CXL memory devices • Future compatible with the upcoming CXL 2.0 processors • Works in hybrid mode (CXL/PCIe mixed) • CS (customer samples) available now, MP 2Q24 Reduced PCB area Lower TCO World’s First CXL2.0 (XC50256) & PCIe 5.0 (XC51256) switch IC
  • 4. CMS: Scalable Memory Pooling & Sharing Enabled by CXL 2.0 Switch • One single XC50256 connects to 32 combined hosts/devices • Fully support CXL Fabric Manager • Support switch cascading for a larger size memory pool Memory Pooling/Sharing with CXL 1.1 Hosts and Single Logical Devices H# H1 H3 H4 H2 D# D1 D3 D4 D2 CXL 2.0 Switch Memory Pooling with CXL 2.0 Hosts and Multiple Logical Devices D# H# D1 H1 D3 H3 D4 H4 D2 H2 CXL 2.0 Switch ManagementHost (CXL FabricManager) ManagementHost (CXL FabricManager)
  • 5. Demo of CXL Memory Pooling Apollo Ref. Board CXL Host 0 Management Host (FM) CXL Host 1 CXL Memory Expander 0 CXL Memory Expander 1
  • 6. CXL Memory is allocated/released from/back to the pool when demand increases/subsides Elastic Memory Pool with Apollo Switch
  • 7. Demo of CXL Memory Sharing Apollo Ref. Board CXL Host 0 Management Host (FM) CXL Host 1 CXL Memory Expander 0 CXL Memory Expander 1
  • 8. XConn’s Upcoming CXL3.1/PCIe6.1 Switch for AI Systems: A Game Changer Memory pooling/sharing/expansion Supports All-to-All with scalable large switching capacity Fit for All-reduce, All-gather with super low latency and high bandwidth switching Scablable fabric network with up to 4,096 CXL devices Hybrid CXL/PCIe mode to connect CXL and PCIe devices Works with emerging CXL devices, e.g. In Memory Compute Lower total power consumption to reduce energy cost
  • 9. Address: 1245 S. Winchester Blvd San Jose, CA 95128 Web: Https://www.xconn-tech.com Email: JP.Jiang@xconn-tech.com

Editor's Notes

  1. host