In this sponsored post, Silicon Mechanics discusses how today’s IT organizations must maximize their resource utilization to deliver the computing capabilities their organization needs when and where it’s needed. This has resulted in many organizations building multi-purpose clusters, which impacts performance. Composable disaggregated infrastructure (CDI) can hold the key to solving this optimization problem, while also providing bare metal performance.
GigaIO and Microchip Power Native PCI Express Network Fabric for Composable Disaggregated Infrastructure
January 14, 2021 by
Carlsbad, CA – January 17, 2021 – GigaIO, maker of data center network architecture and connectivity solutions, has announced a collaboration with Microchip Technology Inc. to power GigaIO’s FabreX, the native PCI Express (PCIe) Gen4 network fabric, which supports GDR, MPI, TCP/IP and NVMe-oF. FabreX technology revolutionizes rack-scale architectures, enabling software-defined, dynamically reconfigurable rack-scale systems, […]
vScaler Integrates SLURM with GigaIO FabreX for Elastic HPC Cloud Device Scaling
August 13, 2020 by
Open source private HPC cloud specialist vScaler today announced the integration of SLURM workload manager with GigaIO’s FabreX for elastic scaling of PCI devices and HPC disaggregation. FabreX, which GigaIO describes as the “first in-memory network,” supports vScaler’s private cloud appliances for such workloads such as deep learning, biotechnology and big data analytics. vScaler’s disaggregated […]
From Forty Days to Sixty-five Minutes without Blowing Your Budget Thanks to Gigaio Fabrex
May 28, 2020 by
In this sponsored post, Alan Benjamin, President and CEO of GigaIO, discusses how the ability to attach a group of resources to one server, run the job(s), and reallocate the same resources to other servers is the obvious solution to a growing problem: the incredible rate of change of AI and HPC applications is accelerating, triggering the need for ever faster GPUs and FPGAs to take advantage of the new software updates and new applications being developed.
GigaIO Brings FabreX to vScaler Cloud Platform
March 17, 2020 by
Today GigaIO announced availability of FabreX for vScaler’s management interface. As the industry’s first in-memory network, FabreX will bolster vScaler’s cloud appliances for artificial intelligence (AI), deep learning, biotechnology and big data analytics. “GigaIO entered a strategic partnership with vScaler in November 2019 to bring their excellent user interface and ease of use into the FabreX environment,” says Alan Benjamin, CEO of GigaIO. “FabreX’s integration with vScaler delivers an elegant and straight forward way for customers to improve resource utilization and create highly-composable, unified infrastructures. I am thrilled this optimization has finally come to fruition and is available to the general public.”
The GigaIO™ FabreX™ Network – New Frontiers in Networking For Big Data
February 11, 2020 by Leave a Comment
In order to derive meaning from big data, via implementing the capabilities of big data analytics, and create new opportunities and new value, organizations must find a way to obtain radically increased overall system throughput. This whitepaper describes how the GigaIO FabreX network makes such accelerated functionalities possible by achieving exceptionally low latency and high-bandwidth performance across an organization’s entire network.
GigaIO Wins Most Innovative New Product Award for Big Data
December 10, 2019 by
Today GigaIO announced that the company’s FabreX technology has been selected as the winner of Connect’s Most Innovative New Product Award for Big Data. The Most Innovative New Product Awards is an annual competition that recognizes San Diego industry leaders for their groundbreaking contributions to technology and life sciences sectors. “FabreX is a cutting-edge network architecture that drives the performance of data centers and high-performance computing environments. Featuring a unified, software-driven composable infrastructure, the fabric dynamically assigns resources to facilitate streamlined application deployment, meeting today’s growing demands of data-intensive programs such as Artificial Intelligence and Deep Learning. FabreX adheres to industry standard PCI Express (PCIe) technology and integrates computing, storage and input/output (IO) communication into a single-system cluster fabric for flawless server-to-server communication. Optimized with GPU Direct RDMA (GDR) and NVMe-oF, FabreX facilitates direct memory access by a server to the system memories of all other servers in the cluster, enabling native host-to- host communication to create the industry’s first in-memory network.”
Video: GigaIO Optimizes FabreX Fabric with GPU Sharing and Composition Technology
December 6, 2019 by
In this video from SC19, Alan Benjamin from GigaIO describes how the company’s FabreX Architecture integrates computing, storage ans I/O into a single-system cluster PCIe-based fabric for flawless server-to-server communication and true cluster scale networking. “At the show, GigaIO announced the FabreX implementation of GPU Direct RDMA (GDR) technology, accelerating communication for GPU storage devices with the industry’s highest throughput and lowest latency.”
GigaIO Optimizes FabreX Architecture with GPU Sharing and Composition Technology
November 20, 2019 by
Today GigaIO announced the FabreX implementation of GPU Direct RDMA (GDR) technology, accelerating communication for GPU storage devices with the industry’s highest throughput and lowest latency. “It is imperative for the supercomputing community to have a system architecture that can handle the compute-intensive workloads being deployed today,” says Alan Benjamin, CEO of GigaIO. “Our team has created that solution with FabreX, which offers unparalleled composability and the lowest hardware latency on the market. Moreover, incorporating GDR technology only enhances the fabric’s cutting-edge capabilities – delivering accelerated performance and increased scalability for truly effortless composing. Combining our new GDR support with our previously announced NVMe-oF capabilities, we are excited to bring real composition without compromise to our customers.”
