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Solutions

GigaIO’s game-changing FabreX™ technology unlocks the next generation of data center rack-scale solutions, where the ability to bring massive compute capability to bear on a problem, harnessing all the possible performance from the system, and where keeping costs – both CapEx and OpEx – in check are essential. The following are some of the solutions areas where FabreX helps customers do more for less.

AI/ML/DL

The digitization of the real world opens the door to endless opportunities for helping to make everyday life better for all mankind through the incredible advances in Artificial Intelligence in all its forms. The data sets are immense and making sense of the data requires building accurate neural networks that are constantly being tuned. You need access to banks of GPUs and FPGAs and the fastest connections between them and storage. However, this is an incredibly fast evolving environment and you need an infrastructure that is exceptionally agile, as you are one algorithm change away from having static hardware becoming obsolete. FabreX gives you the performance you need and the agility that is essential. Pursue the leading edge in AI and we will help propel you there.

Bioinformatics & Genomics

The world of Bioinformatics and Genomics is going through a transformation. The good news is that critical applications are now supporting GPUs and FPGAs, in addition to CPU-only computing, thus dramatically lowering the time to solution per case. More cases can now be run with the same infrastructure. Now the question is how to deploy these expensive resources efficiently so that all users can gain access to these application accelerators, within your budget constraints. Only FabreX enables you to both share resources between groups, AND to combine the compute power of your servers and all your accelerators to gain even more processing throughput when necessary.

High Performance Computing (HPC/Simulation)

HPC is about bringing a whole new understanding to the workings of the physical world to better explain the world around us, and to help us to better predict the future. Geophysical modeling, weather forecasting, bioinformatics, physical simulations, the workings of the financial markets all use advanced heterogeneous computation architectures to enable faster execution of compute-intensive tasks.

Artificial Intelligence is playing a larger role in interpreting the data and in helping to bring meaning. FabreX creates a flexible, performant architecture for your dynamically changing workloads, combining sub-microsecond latency and high-bandwidth networking between all resources and servers in your HPC systems. Slurm is the standard in this market and now you can submit your job as you have always done, and we do all the work to create an optimized infrastructure to run your job. It’s easier, and faster than ever to get results when FabreX works for you.

Edge Computing

Driven by the vast volumes of data generated by the rapidly growing number of sensors in IoT and IIoT, there is an increasing need to move compute where the data is being generated. To move processing to the edge, your challenge is to make the most efficient use of resources to deal with space and power constraints. FabreX, with half the power consumption of Infiniband or Ethernet, and the ability to dramatically increase the utilization rate of your resources, enables you to deploy less equipment, gaining space, power and thermal efficiency.

Visualization

Visualization fuels innovation – from the high-end workstations to servers to the data center rack and cloud – delivering unparalleled performance and capabilities to give insight to cutting edge product development, media and entertainment, or aiding in the search for natural resources, climate change or simply virtual reality. Artificial Intelligence is playing a role in visualization to fix or enhance images and accelerate the rendering of images. The ability to mix several types of GPU or FPGA in a single workflow with FabreX also dramatically increases performance and efficiency.

FinTech

In a game where a nanosecond can be the difference between millions of dollars lost or made, trading platforms hunger for the lowest possible latency. FabreX gives you a performance advantage both at the network and the messaging levels. With the absolute lowest latency available of any computer network, FabreX is ideal for building your next generation order management system.

Data Analytics

Data Analytics and Data Science workflows have traditionally been slow and cumbersome as they rely on server CPUs to load, filter and manipulate data for training and deployment models. Today data scientists are rapidly adopting Machine Learning software with GPUs and/or FPGAs to substantially reduce infrastructure costs and to provide superior performance for end-to-end data science workflows. The ability to mix several types of GPUs or FPGAs in a single workflow with FabreX also dramatically increases performance and efficiency. A FabreX-optimized data science workflow increases productivity by reducing the time spent waiting, allows you to accomplish more by accelerating machine learning training, and reduces infrastructure costs.

Cloud Computing

Whether in public or private cloud, optimizing resource utilization through virtualization is key. Your challenge is to move beyond virtualizing only storage, to also include accelerators, storage-class memory, and even CPUs and memory. FabreX gives you the sub-microsecond latency you need to build entire racks where every resource can be dynamically composed. Together with our Ready-to-Run software solutions, your on-premise architecture can move beyond enterprise-class, to Cloud-Class™: as agile and flexible as the public cloud, but under your control and at a fraction of the cost.

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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.

Marc Lehrer

With previous experience as a GM and VP of Sales at Mellanox Technologies, Marc comes to GigaIO with direct expertize 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.

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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