In this interview, GigaIO CEO Alan Benjamin talks about systems performance problems and wasted compute resources when implementing ML, HPDA and other high demand workloads that involve high data volumes. At issue, Benjamin explains, is today’s rack architecture, which is decades old and unsuited for combinations of CPUs, GPUs and other accelerators needed for advanced computing strategies. The answer: the “composable disaggregated infrastructure.”
Video: GigaIO on Optimizing Compute Resources for ML, HPDA and other Advanced Workloads
September 9, 2020 by
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.”
GigaIO Rolls Out Industry’s Highest Performance Top of Rack Switch and Network
February 25, 2020 by
Today GigaIO announced the launch of FabreX Gen4. As the industry’s first networking platform to be fully compatible with Peripheral Component Interconnect Express (PCIe) 4.0, FabreX Gen4 doubles the network bandwidth to 512 gigabits per second at full duplex. “As the industry’s first in-memory network, GigaIO’s flagship FabreX platform features direct memory access by an individual server to system memories of all other servers in the cluster fabric. Now, with FabreX Gen4, users will benefit from PCIe 4.0’s increased bandwidth while retaining leading sub-microsecond network latency.”
The GigaIO FabreX Network – New Frontiers in Networking For Big Data
February 17, 2020 by
GigaIO has developed a new whitepaper to describe GigaIO FabreX, a fundamentally new network architecture that integrates computing, storage, and other communication I/O into a single-system cluster network, using industry standard PCIe (peripheral component interconnect express) technology.
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.
Full Roundup: SC19 Booth Tour Videos from insideHPC
January 8, 2020 by
Now that SC19 is behind us, it’s time to gather our booth tour videos in one place. Throughout the course of the show, insideHPC talked to dozens of HPC innovators showcasing the very latest in hardware, software, and cooling technologies.
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.”
