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A complete solution for building and managing

Composable Clustered Infrastructure using GigaIO FabreX™ and NVIDIA Base Command Manager

Build platform-independent compute clusters that scale in minutes to handle the most demanding AI and HPC workloads.

Talk to an expert
“Our research requires that we aggregate disparate computational elements, such as FPGAs, GPUs, x86 processors, and storage systems into highly usable and reconfigurable systems. GigaIO’s FabreX technology combined with NVIDIA Bright Cluster Manager makes it possible to dynamically bring these elements together in a very low-latency, high-performance interconnect while allowing for distinct, non-interfering workflows to co-exist on the same infrastructure.”

“Our research requires that we aggregate disparate computational elements, such as FPGAs, GPUs, x86 processors, and storage systems into highly usable and reconfigurable systems. GigaIO’s FabreX technology combined with NVIDIA Bright Cluster Manager makes it possible to dynamically bring these elements together in a very low-latency, high-performance interconnect while allowing for distinct, non-interfering workflows to co-exist on the same infrastructure.”

— Dr. Frank Würthwein, Director, San Diego Supercomputer Center
“Enterprises building AI and HPC computing infrastructure are seeking solutions that provide performance, flexibility, and efficiency. With native support for Bright Cluster Manager 9.2, GigaIO FabreX customers can compose and manage their compute systems to suit the needs of unique workloads from a single management interface.”

“Enterprises building AI and HPC computing infrastructure are seeking solutions that provide performance, flexibility, and efficiency. With native support for Bright Cluster Manager 9.2, GigaIO FabreX customers can compose and manage their compute systems to suit the needs of unique workloads from a single management interface.”

— Charlie Boyle, Vice President of DGX Systems, NVIDIA
“Seamlessly integrating GigaIO’s FabreX and NVIDIA’s Bright Cluster Manager provides computing harmony, agility, and improved utilization of dynamic, growing environments. The performance of compute-intensive or data-intensive applications can be significantly improved via execution on the FabreX-BCM ecosystem.”

“Seamlessly integrating GigaIO’s FabreX and NVIDIA’s Bright Cluster Manager provides computing harmony, agility, and improved utilization of dynamic, growing environments. The performance of compute-intensive or data-intensive applications can be significantly improved via execution on the FabreX-BCM ecosystem.”

— Earl J. Dodd, Global Business Practice Leader at WWT

The Seamless GigaIO and NVIDIA Solution for
 Rack-Scale Composable Computing

GigaIO and NVIDIA have created a complete end-to-end solution for provisioning reconfigurable infrastructure and made it easy to deploy and manage. Available as part of NVIDIA AI Enterprise suite of software, and included with all GigaIO Engineered Solutions, Base Command Manager is natively integrated into GigaIO FabreX – the only composable infrastructure solution supported in NVIDIA AI Enterprise.

Both on-premise and in-cloud options for deploying workloads have significant limitations. An ideal solution would combine the flexibility of the cloud with the reliability, security, and cost-effectiveness of an on-premises configuration.

Users want a no-hassle solution that is easy to set up, manage, order, and install. A complete solution would handle everything from their application (or their container) on down. Users want to spend as little time as possible thinking about infrastructure, and they expect robust, enterprise-class capabilities in cluster management software, such as easy provisioning and updating, full access control, and monitoring.

Enter GigaIO FabreX composable platform, powered by NVIDIA Base Command Manager.

What is GigaIO FabreX?

GigaIO’s FabreXTM is a universal dynamic AI memory fabric that enables an entire server rack to be treated as a single compute resource, without proprietary architecture lock-in. No longer is the server the basic unit of compute. With FabreX, your entire rack is your server for true rack-scale computing.

Resources normally located inside of a server, including accelerators, storage, and even memory, can now be pooled in accelerator or storage pooling appliances, where FabreX makes them available to all of the servers in a rack and beyond.

The resources housed inside these pooling appliances continue to communicate over native PCIe just as they would if they were plugged into the server motherboard. Every server connected to FabreX can also share its internal resources with every other server, enabling an entire rack of equipment to be treated like a collection of disaggregated puzzle pieces that can be re-assembled on the fly based on the specific requirements of each workload.

More on FabreX Software

Download GigaIO’s Composability Primer

What is NVIDIA Base Command Manager?

NVIDIA Base Command Manager is an enterprise-class software solution that simplifies building and managing HPC and AI clusters from edge to core to cloud, transparently to the customer, by combining provisioning, monitoring, and management capabilities in a single tool.

Version 9.2 extended the goals of eliminating complexity and enabling flexibility by adding built-in support for composable infrastructure using GigaIO FabreX, where nodes can now be composed using NVIDIA Base Command Manager Shell or BrightView.

Read more at NVIDIA.com

How it Works

The GigaIO and NVIDIA solution combines NVIDIA Base Command Manager’s ability to build and manage clusters with GigaIO FabreX’s ability to disaggregate and compose servers, accelerators, storage and memory together within a seamless memory fabric.FabreX: How it WorksAuto-scaling in Base Command Manager creates a dynamic, multi-purpose infrastructure, and FabreX extends that agility to each hardware element in a rack by enabling the creation of composable GigaIO GigaPods and SuperNODEs with cascaded and interlinked switches.

PCIe devices can be monitored and health-checked, as well as pooled and assigned to nodes within a cluster using Base Command Manager. Clusters may have several different fabrics defined, and Base Command Manager streamlines the fabric configuration process.

Support for FabreX in NVIDIA Base Command Manager allows users to handle more workloads while maximizing resource utilization, minimizing cost, and managing everything from a single state-of-the art user interface. Cloud-like agility is now easier for on-premises infrastructure, allowing cloud bursting as needed within a single interface.

Key Advantages

The NVIDIA Base Command Manager and GigaIO FabreX solution provides a way to build easy-to-manage compute clusters that meet the needs of your most demanding workloads.

Benefits include:

  • Create “impossible serversTM” such as SuperNODE
  • Deploy scale in minutes
  • Maximize resource utilization
  • Heterogeneous compute
  • Easy to deploy and maintain
  • Integrated build, management & monitoring

GigaIO’s Open Platform Ecosystem

The new integration is an example of GigaIO’s strategy to deliver an open platform that allows customers to access the benefits of composable infrastructure via the enterprise-class tools they already use.

GigaIO’s dedication to native integration with software tools like Base Command Manager provides a best-in-class experience for customers who can continue to use their favorite tools without needing to alter their software stack. Native integration frees customers from having to rely on plug-ins with limited capabilities, learn new software, manage yet another pane of glass, and pay additional per-node license fees.

Resources:

GigaIO FabreX & NVIDIA Base Command Manager Solution Brief

Download the PDF

Download the PDF

GigaIO and NVIDIA Bright Press Release

Download the PDF

Download the PDF

Dell Technologies HPC Community - NVIDIA Base Command Manager

Watch the Video

Watch the Video

"Why Composable Computing?" with SDSC

Watch the Video

Watch the Video

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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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Marc Lehrer

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).

Marc holds an undergraduate degree in Electronic and Electrical Engineering and a postgraduate degree in Electronic and Digital Signal Processing Engineering from Westminster University, London.

Jacqueline Arsivaud

Jacqueline brings twenty years’ experience in marketing and strategic planning with both large companies and tech start-up ventures. At Hewlett-Packard, she managed worldwide product marketing teams launching industry-leading products and programs, and designed and executed highly innovative distribution strategies, including the first channel cooperation program between the direct sales force and the retail channel.

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.

Jacqueline first came to the US for a summer session at San Diego State University’s Business School, as part of her MBA program from Institut Supérieur de Gestion in Paris.  She studied Economics and Political Science as an undergrad at France’s Institut d’Études Politiques.

Matt Demas

A seasoned IT executive, Matt brings to GigaIO two decades of experience in sales and solutions architecting. Matt has built federal, healthcare, and education-based vertical solutions at companies like Dell, where he was a Senior Solutions Architect, and Pivot 3, where he led regional sales. Immediately prior to joining GigaIO, he served as Field CTO at Liqid.

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.

Eric Oberhofer

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.

Most recently, Eric served as Vice President, Public Sector at Liqid, a storage and composable solutions provider. Prior to that, he served as Federal CTO and DoD Sales Director at Pivot3, a security infrastructure provider; he was the Managing Director, Consulting at Iron Bow Technologies, a leading systems integrator; and led a global sales team at Dell EMC.

Eric received his Master’s of Science in Management Information Systems from George Washington University and his Bachelor’s of Science in Operations and Information Management from Georgetown University.

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Alan Benjamin

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.

Joey Maitra

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.

Steve Campbell

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.

Robin O’Neill

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.

Mr. O’Neill holds a Bachelor of Arts degree in Mathematics from the University of Utah.

Niraj Mathur

Niraj has over 20 years of industry experience in strategic and product marketing, product management, business development, customer applications and advanced silicon engineering. He has held senior leadership roles and led global, cross-functional teams to support these disciplines. Niraj was instrumental in driving numerous successful networking products at Nortel Networks, Quake Technologies, AppliedMicro, Snowbush, Gennum, Semtech and Rambus. He has defined, developed and supported carrier grade hardware and software for the world’s leading telecom, enterprise and cloud customers. His past projects include Ethernet PHYs, core Internet switches, metro optical routers, high-speed silicon IPs and PCI Express products. Niraj holds a Bachelor of Computer Engineering from McGill University and an MBA from Cornell University.

Scott Taylor

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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