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SC25: Panmnesia Announces Sample Availability of PCIe 6.0/CXL 3.2 Fabric Switch

Fabric switch silicon fully implementing CXL 3.2 standard with Port-Based Routing (PBR) support

Panmnesia, Inc. announced sample availability of its PCIe 6.0/CXL 3.2 Fabric Switch an industry’s first CXL switch silicon supporting port-based routing (PBR).

Panmnesia Switch Sample

The company is currently in the process of providing switch silicon samples to early access partners.

The firm’s switch is a hybrid solution that supports both PCIe Gen 6 and CXL 3.2 protocols on a single chip, while maintaining full backward compatibility with all previous PCIe and CXL generations. Fully implemented in strict accordance with the CXL 3.2/PCIe 6.0 specifications, it ensures complete standards compliance and interoperability across all subprotocols. The switch can also operate in PBR mode and hierarchy-based routing (HBR) mode.

With these flexible routing options and a full-stack optimized architecture based on the firm’s proprietary PCIe/CXL controller, the switch enables truly composable architecture that reduces CAPEX/OPEX while delivering high performance for large-scale, multi-device workloads – including AI applications such as DLRM, LLMs, and RAG, as well as HPC workloads like MPI-based scientific simulations.

Today, we are excited to unveil our PCIe 6.0/CXL 3.2 Fabric Switch silicon sample,” said Dr. Myoungsoo Jung, CEO, Panmnesia. “We believe that this will be a meaningful milestone in our journey to redefine end-to-end AI infrastructure with our industry partners.”

PCIe/CXL Fabric Switch – Key Highlights
Panmnesia’s Fabric Switch connect numerous devices and enable efficient communication by offering the following differentiated features, allowing numerous devices in data centers and HPC environments to operate together as if they were a single, large-scale accelerator:

  • Unified Fabric without Manual Setup or Static Hierarchy:
    Wherever they’re plugged in, the company’s Fabric Switches with PBR support form a self-organizing, topology-agnostic fabric that makes AI clusters to operate as a single unified accelerator.

  • Scalable Expansion without Relying on Slow Networks:
    The firm’s switches can interconnect 1,000s of devices across multiple racks without incurring long network latency, thanks to support for cascading which enables multi-switch interconnection.

  • Accelerated Communication among Devices:
    Supporting PCIe Gen6 data rates (64GT/s), the Fabric Switches accelerate bulk data transfers. They also ensure cache coherency across devices by supporting all CXL subprotocols – CXL.cache, CXL.mem, and CXL.io – eliminating redundant copies.

  • Ultra-Low-Latency Data Access within Clusters:
    The firm’s Fabric Switches reduce overall data-access latency within clusters by minimizing hops through a high-fan-out architecture and lowering internal processing latency via the integration of the company’s proprietary CXL controller, featuring double-digit nanosecond latency.

Availability
Panmnesia’s PCIe 6.0/CXL 3.2 Fabric Switch Silicon is out now and early access partners can request samples and pilot systems. The firm’s PCIe 6.0/CXL 3.2 controllers integrated within the switch are silicon-proven, and customers can request variants designed for memory, accelerator, and CPU applications as standalone products.

Panmnesia’s Pcie 6.0 Cxl 3.2 Fabric Switch SiliconKey Features:

Specification

CXL 3.2

Backward compatible with CXL 1.1, 2.0, and PCIe Gen 6

Number of lanes

256

Data rate

64GT/s

Bifurcation Support

x4, x8, x16

Supported subprotocols

CXL.io, CXL.mem, CXL.cache

Unordered IO support

Back-invalidation support

Direct P2P support

Supported device types

CXL type 1/2/3 device support

CXL fabric features

Switch cascading (multi-level switching)

Tree and non-tree topology supported

Supported flit format

68B, 256B, 256B standard, 256B LOpt support

RAS features

Hot-Plug support

Data poisoning support

Viral support

Power management

Low power state support

Peripherals

UART, I2C, GPIO available

 

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