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System Overview

FabreXTM AI Memory Fabric Platform

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The enormous increase in data is driving fundamental change to data center architecture

The remarkable increase in the amount of data being collected, and that must be analyzed and stored, is driving the rapid adoption of advanced data analytics and Artificial Intelligence (AI). Both are challenging the fundamental architectures of today’s data centers, a scale of disruption not seen since the 1990s.

AI, and the associated Machine Learning (ML) and Deep Learning (DL) applications are creating new challenges for compute and storage clusters. Faster and larger storage arrays, and a proliferation of specialized compute accelerators, like GPUs, FPGAs and custom ASICs, are creating bottlenecks and configuration\ problems for the interconnect systems, as the traditional networks were never designed to handle the performance requirements of these workflows and devices.

Further, the rapid pace of change in acceleration technology and AI software fuels the necessity for flexible and easy to upgrade architectures, capable of incorporating new technology without demanding forklift upgrades to expensive equipment. This means disaggregating the elements of the traditional server into separate components that can be easily shared. But, in order to effectively disaggregate storage and accelerators, the interconnects must support both an exceptionally low latency AND high bandwidth.

A related challenge is the low utilization (15% on average) of these expensive new accelerators, stranded in the server sheet metal in siloed configurations. The result for High Performance Computing, Enterprise, Cloud and Edge data centers is the need for both scale-up and then scale-out resources across the cluster with a technology that will grow in both directions.

Memory-Centric Fabric

FabreX is the next generation, memory-centric fabric for a changing compute world. Effortlessly connect new memory / storage products, the multitude of new accelerators and your choice of processors either directly attached or via server configs like NVMe-oF.

FabreX delivers the industry’s lowest latency AND the highest effective bandwidth. Latency from system memory of one server to system memory of any other is less than 200ns – true PCIe performance across the entire cluster. The FabreX Gen4 implementation scales up to 512Gbits/sec bandwidth.

Performance

Flexibility

FabreX can compose an unprecedented variety of resources, such as accelerators including GPUs, DPUs, TPUs, FPGAs and SoCs or storage devices, such as NVMe, PCIe native storage, and other I/O resources connected to compute nodes. In addition to device-to-node, FabreX is unique in enabling node-to-node and device-to-device communication all across the same high performance PCIe memory fabric. FabreX can span multiple servers and multiple racks to scale up single-server systems and scale out multi-server systems, all unified via the FabreX software.

Featuring 100% PCI-SIG compliance, the FabreX switch can integrate heterogenous computing, storage, and accelerators into one system-area cluster fabric, so you can do more with less. Patented GigaIO technology strips away unnecessary conversion, software layers and overheads that add latency to legacy interconnects.

Efficiency

Open Platform,
Standards-Based

FabreX is built on, and 100% compliant with, the industry’s most widely adopted standard, PCIe, insuring low risk, easy integration and long life.
Further, the FabreX operating system easily integrates third-party applications with its open-source design, including the DMTF open-source Redfish APIs to provide unprecedented integration with a range of third-party applications for fabric automation, orchestration, resource allocation and job management.

The Solution: GigaIO FabreXTM

GigaIO FabreX is a fundamentally new composable architecture that integrates computing, storage and other communication I/O into a single-system cluster fabric, using industry standard PCI Express (PCIe) technology. PCIe is used internally to connect every server on the market today. GigaIO enables true server-to-server communication across PCIe and makes cluster scale computer possible, with direct memory access by an individual server to system memories of all other servers in the cluster fabric, for the industry’s first in-memory network.

This new architecture enables a unified, software-defined, and memory-centric composable infrastructure.

With its exceptional low latency and high bandwidth, FabreX makes the disaggregation of all server elements possible. Standard Redfish® APIs enable integrations with leading third-party orchestration and composition software for a true software-defined infrastructure that dynamically assigns resources to match changing workloads.  Gone are the days of having to make massive and costly changes to large numbers of servers to incorporate new technology.

Upgrade or add compute, storage and application accelerators at the component level that plug-n-play with your environment. Every major subsystem can now operate on its own upgrade cycle.  And the total cost of the system is optimized as FabreX drives much higher utilization of the resources.

FabreX is built to be an open platform and offers robust, industry standard APIs at all levels of the software making the integration of FabreX into your existing data center management systems easy and risk free.

FabreX is 100% compliant with the industry’s leading standard, PCIe, insuring high levels of support and compatibility from an enormous selection of vendors and technologies. Every new storage, acceleration and compute technology fully support the latest PCIe standards ensuring full access to the latest and most capable technologies.

And as IT experts begin to use new architectures for moving compute to the data at the edge of your networks, FabreX is a natural choice, offering the greatest depth of support in storage, compute and acceleration technology, the highest density, lowest power and best performance.

The FabreXTM Building Blocks

FabreX Fabric Manager

The FabreX Fabric Manager (FM) is the central building block and the software engine that drives the performance and dynamic composability of GigaIO’s software-defined hardware. This Linux-based, resource-efficient software layers onto FabreX hardware for easy-to-use composing of computing clusters on-the-fly.

The FabreX FM is designed to be an open environment with robust APIs to ease integration and encourage third party developers to enhance the usability, flexibility and performance of the fabric. You continue to use the tools you know and trust – with an entire new layer of capability.

The FabreX Switch

A classic Top-Of-Rack network switch, the FabreX Switch communicates with FabreX server drivers to identify and coordinate resources required by the servers.

FabreX Network Adapter Card

The FabreX Network Adapter card is the high-performance, cabled interface to cluster subsystems across FabreX. The card includes both server and target (for PCIe I/O) modes and is FPGA-powered for configuration flexibility. Applications can access remote PCIe devices as if they were attached to the local system.

The FabreX Network Adapter Card is designed for maximum cable length at full PCI Express Gen 3.0 or Gen 4.0. Copper cables can connect up to 3 meters or use active optic cables to extend the distance up to 100 meters.

The flexibility of the FabreX platform breaks the constraints of old architectures, opening up possibilities for new configurations that maximize utilization of all elements within your High Performance Computing, Enterprise, Cloud or Edge data centers. At the same time, FabreX allows for far greater utilization of these next generation technologies, keeping both your capital expenditures and operating costs down. Cloud flexibility at a fraction of the cost.

GigaIO FabreX System Overview
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John Ihnotic

John is an experienced R&D leader with over 15 years of experience in embedded software, with a focus on high performance scalable computing applications. As one of the earliest engineering hires at GigaIO, John has overseen every FabreX software release from alpha prototype to today. He has a proven track record of running efficient engineering teams that deliver innovative solutions in a startup environment.

Prior to GigaIO, John led DevOps at KnuEdge, a chip start-up focused on scalable compute fabrics for machine intelligence and AI applications.  John also has experience as a software solutions manager, heading successful projects with premier technology clients such as DirecTV, Akamai, Sony, and ViaSat.

John holds a BS in Computer Science from the University of Southern California.

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With previous experience as a GM and VP of Sales at Mellanox Technologies, Marc comes to GigaIO with direct expertise in the high-performance interconnect market. At Mellanox, Marc achieved significant wins in Enterprise and Government HPC clusters. He is an experienced senior sales and business development executive with early stage and public companies, most recently as Senior Sales Director at Netronome Systems, winning high profile customers in the Cloud, Software Defined Networking (SDN) and Network Virtualization (NFV) markets.

Prior to joining Mellanox Marc held senior executive marketing and sales positions in the US and EMEA for Galileo Technology which was acquired by Marvell. Marc was responsible for building and growing the sales organization in EMEA winning many high-profile customers in the telecom and networking markets.

Marc also held senior marketing and product definition positions in the US for Quality semiconductor (later acquired by IDT) and business development in EMEA for Annapurna Labs (acquired by Amazon).

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Jacqueline left HP to create an international market research and consulting company focused exclusively on the technology industry.  With offices in San Diego and Berlin, Analytique grew to be ranked in the top 100 research companies in the US by revenue, with a client list including 3Com, Canon, Compaq, IBM, Intel, Hewlett-Packard, and Microsoft among others. She joined GigaIO as Director of Marketing in May 2020 and was promoted to Vice President in August 2021 after leading a major brand repositioning and delivering traction with key industry analysts and strategic partner companies.

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Matt spent seven year in IT in the US Air Force and has a deep expertise in Federal IT procurement through his subsequent work as a Senior Consultant with Booz Allen Hamilton, and the partnerships he has built helping systems integrators win Federal contracts.

Matt holds a Bachelor’s degree in Information Technology from American InterContinental University, and an MBA from Concordia University Austin.

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Eric is a seasoned technical sales executive with 20 years of sales and technical management experience in the public and private sectors, and a track record of building and managing world-class sales organizations, and partner development. He has extensive experience in Enterprise IT transformation utilizing next generation data center technologies and management techniques.  His experience spans leadership roles in multiple startups, system integrators, and the US Federal government.

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Alan is one of the visionaries behind GigaIO’s innovative solution. He was most recently COO of Pulse Electronics – $800M communication components and subsystem supplier and previously CEO of Excelsus Technologies. Earlier he helped lead PDP, a true start-up, to a successful acquisition by a strategic buyer for $80M in year three. He started his career at Hewlett-Packard in Sales Support and quickly moved into management positions in Product Marketing and R&D. Alan graduated from Duke University with a BSEE in Electrical Engineering and attended Harvard Business School AMP program, as well as UCSD LAMP program.

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Joey is a 25-year industry veteran, having held executive positions at Magma, Patriot Scientific and Metacomp. Joey has been instrumental in the development of a Unified System Area Network with PCI Express as the fabric and is the inventor of all of the IP associated with it. He has defined the software, hardware and the system architecture of the prototype Switch implementation and has been responsible for the design implementation. Having originated several patents in the areas of communication and image processing, Joey holds a Master’s degree in EE from SUNY and a Bachelor’s degree in Electrical Engineering from Indian Institute of Technology (IIT), India.

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Steve has held senior VP Marketing positions for HPC and Enterprise vendors. Steve was most recently Vice President of Marketing and Solutions of the Hitachi Server Group. Previously, Steve served as VP of Marketing at Sun Microsystems Enterprise Systems Products Group responsible for the mid-range and high-end Sun Fire and Sun Enterprise servers. He was executive sponsor for several high profile customers in Asia and also responsible for Sun’s High-Performance Computing initiatives and the Data Center Insight Programs leading solution programs for data center consolidation and mainframe migration. Before joining Sun, Steve was a founding partner in a technology consulting company working with early stage technology and Internet start-ups helping raise over $300M. He served on the boards of and as interim CEO/CMO of several early-stage technology companies. Steve was Vice President of Marketing at FPS Computing and held executive positions at Convex.

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Robin O’Neill is a computer R&D executive with a history of version 1.0 innovation for companies such as Western Digital, Hewlett Packard, PolyServe (acquired by HP), Intel, the Advanced Computer Research Institute (Lyon, France), Sequent Computer Systems, and The Lawrence Livermore National Laboratory. Most recently, he was head of WDLABS, leading the exploration and incubation of emerging systems, software, and new business opportunities for Western Digital.

His more notable joint contributions include the Computational Flash Storage architecture at Western Digital, the industry’s first fully-symmetric clustered filesystem at PolyServe, the Decoupled-loop Pipelining CPU at the Advanced Computer Research Institute in France, the industry’s first commercial NUMA system and first commercial SMP system at Sequent, the IEEE POSIX standard, and the Unix-based time-sharing supercomputer operating system at LLNL.

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Scott has an extensive background in high speed networking, accelerators and security from working at companies like Cray Research and Sun Microsystems. Leveraging this background, he created the FabreX software architecture supporting Redfish Composability Service, NVMe-oF, GPU Direct RDMA, accelerators, MPI and TCP/IP all with a single PCI-compliant interconnect. He has built the engineering team at GigaIO from the ground up to implement a singular vision of FabreX as an open source, standards-based ecosystem. Scott’s previous experience includes Prisa Networks, a Fiber Channel startup, where he helped drive the shift from an arbitrated loop to switch based topologies. His many years working as an expert consultant helps him drive key intellectual property development at GigaIO. Scott holds a BS in computer science from UC Santa Barbara.

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