GigaIO Introduces New Scalability for AI Workloads with FabreX 2.2

April 20, 2021

CARLSBAD, Calif., April 20, 2021 — GigaIO, creators of next-generation data center rack-scale architecture for AI and High-Performance Computing solutions, today announced FabreX release 2.2, the industry’s first native PCI Express (PCIe) Gen4 universal dynamic fabric, which supports NVMe-oF, GDR, MPI, and TCP/IP. This new release introduces an industry first in scalability over a PCIe fabric for AI workloads, by enabling the creation of composable GigaPods  and GigaClusters with cascaded and interlinked switches. In addition, FabreX 2.2 delivers performance improvements of up to 30% across all server-to-server communications through new and improved DMA implementations.

By breaking the barrier of the server box, GigaIO’s technology enables the entire rack to be treated as the compute unit. All I/O resources normally located inside the server (GPUs, FPGAs, Optane high performance storage) can now be pooled in accelerator or storage appliances where they are available to all the servers in the rack. Components such as Intel Optane SSDs continue to communicate over native PCIe (and CXL in the future), as they would if they were still plugged into the server motherboard, for the lowest possible latency and highest performance.

Now with FabreX 2.2, the basic compute unit, the GigaCell, can be extended to several racks. This enables faster time to result since workloads run as if they were using components inside one server, but harness the power of many nodes, all communicating within one seamless universal fabric. Leaf and spine, dragonfly and other scale-out topologies are fully supported.

“The GigaIO FabreX environment with Intel Optane SSDs is enabling scalable performance with significantly lower latency than other options for NVMe. The combination of the native PCIe fabric with Optane SSDs unleashes the potential of both solutions and IT organizations can realize performance benefits and reduced storage bottlenecks across the network”, said Kristie Mann, Senior Director of Product Management for Intel Optane.

Data center managers save the extra cost, complexity of set up and maintenance burden of having several networks (such as InfiniBand and Ethernet) running in a rack with a “sea of NICs”, instead deploying PCIe outside the server using only PCIe switches. FabreX’s dynamic disaggregation and composability capability means they can “pay as they grow”, scaling resources independently, instead of overprovisioning to plan their infrastructure years ahead.

Recognizing the breakthrough nature of this innovation and the benefits to their customers deploying AI in their data centers, World Wide Technology (WWT), one of the largest System Integrator in the world with over $13 billion in revenues, has now deployed GigaIO’s platform in their Advanced Technology Center (ATC), where customers can test drive the new scalability with GigaIO’s platform deployed with Intel Optane SSDs. “WWT customers can now experience for themselves the ability and benefit to network Optane high performance storage across several servers without any performance or security penalty — all thanks to the FabreX PCIe universal fabric”, said Earl J. Dodd, Global HPC Business Practice leader at WWT.

”With our revolutionary technology, a true rack-scale system can be created with only PCIe as the network. The implication for HPC and AI workloads, which consume large amounts of accelerators and high-speed storage like Intel Optane SSDs to minimize time to results, is much faster computation, and the ability to run workloads which simply would not have been possible in the past.” said Alan Benjamin, CEO of GigaIO.

GigaIO further breaks one of the barriers to larger scale adoption of disaggregated infrastructure  – vendor lock-in – by demonstrating a commitment to open standards: several off-the-shelf software options are available from a number of vendors to compose resources in FabreX, instead of yet another proprietary pane-of-glass and licensing fees.

Industry analyst Addison Snell of Intersect360 Research confirms the need for a composable universal fabric. “With analytics, AI, and new technologies to consider, organizations are finding their IT infrastructure needs to span new dimensions of scalability: across different workloads, incorporating new processing and storage options, following multiple standards, at full performance,” said Snell. “The data-centric composability of FabreX is aimed at solving this challenge, now and into the future.”

ABOUT GigaIO

GigaIO has invented a truly composable cloud-class universal infrastructure fabric, empowering users to accelerate workloads on-demand, using industry-standard PCI Express technology. The company’s patented network technology optimizes cluster and rack system performance, and greatly reduces total cost of ownership. With the innovative GigaIO FabreX open architecture, data centers can scale up or scale out the performance of their systems, enabling their existing investment to flex as workloads and business change over time. For more information, visit www.gigaio.com.


Source: GigaIO

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Can Cerabyte Crack the $1-Per-Petabyte Barrier with Ceramic Storage?

July 20, 2024

A German startup named Cerabyte is hoping to solve the burgeoning market for secondary and archival data storage with a novel approach that uses lasers to etch bits onto glass with a ceramic coating. The “grey ceramic� Read more…

Weekly Wire Roundup: July 15-July 19, 2024

July 19, 2024

It's summertime (for most of us), and the HPC-related headlines aren't as plentiful as they once were. But not everything has to happen at high tide-- this week still had some waves! Idaho National Laboratory's Bitter Read more…

ARM, Fujitsu Targeting Open-source Software for Power Efficiency in 2-nm Chip

July 19, 2024

Fujitsu and ARM are relying on open-source software to bring power efficiency to an air-cooled supercomputing chip that will ship in 2027. Monaka chip, which will be made using the 2-nanometer process, is based on the Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI projects.). Other tools have joined the CUDA castle siege. AMD Read more…

Quantum Watchers – Terrific Interview with Caltech’s John Preskill by CERN

July 17, 2024

In case you missed it, there's a fascinating interview with John Preskill, the prominent Caltech physicist and pioneering quantum computing researcher that was recently posted by CERN’s department of experimental physi Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe. As climate change is warming ocea Read more…

Can Cerabyte Crack the $1-Per-Petabyte Barrier with Ceramic Storage?

July 20, 2024

A German startup named Cerabyte is hoping to solve the burgeoning market for secondary and archival data storage with a novel approach that uses lasers to etch Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI pro Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to com Read more…

Shutterstock 1886124835

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical c Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Leading Solution Providers

Contributors

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire