Adaptive Computing and X-ScaleSolutions Sign Strategic Partnership Agreement

May 23, 2024

NAPLES, Fla., May 23, 2024 — Adaptive Computing Enterprises, Inc., a trusted global leader in HPC Workload Management and Cloud Solutions, has formed a new strategic partnership with X-ScaleSolutions and its team of experts focused on designing, developing, and supporting high-performance and scalable middleware for high-end computing.

X-ScaleSolutions specializes in a range of high-performance and scalable solutions for current-generation systems, ranging from small deployments of a couple of systems to multi-petaflop systems and the emerging Exascale systems. The company’s focus is on five areas:

  1. High-Performance Computing (HPC)
  2. AI (Deep/Machine Learning)
  3. Big Data
  4. Cloud Computing
  5. HPC security.

X-ScaleAI is a high-performance solution for distributed training, fine-tuning, and inference for complex AI problems. It delivers higher performance and scalability for distributed pre-training, fine-tuning, and inference while supporting a range of Large Language Models (LLMs) and Vision models. It provides out-of-the-box optimal performance and portability across on-premises and cloud platforms in a vendor-neutral manner with various combinations of CPUs, GPUs, and Interconnects. X-ScaleAI also provides scalable model checkpoint and restart support for long-running training and fine-tuning applications to reduce the TCO for end customers.

“The partnership provides customers in the HPC and AI world with a one-stop solution to solve their challenging problems with the best performance and scalability while minimizing TCO,” said Dr. Dhabaleswar K. Panda, founder and CEO of X-ScaleSolutions.

Adaptive Computing is a leading provider of integrated HPC/AI solutions to commercial enterprises, research labs, and universities worldwide, empowering organizations to leverage advanced computational capabilities for innovation and growth. With a focus on performance, scalability, and versatility, Adaptive’s solutions enable customers to deploy and manage complex computational HPC/AI workloads efficiently, accelerating innovation and driving business growth.

Adaptive Computing offers a comprehensive HPC/AI/ML as a Service solution tailored to meet the diverse needs of enterprises embarking on their AI journey. By providing a turnkey solution, Adaptive Computing simplifies the often-complex process of implementing AI technologies, making them accessible to organizations of all sizes and at various stages of AI adoption.

The inclusion of the Adaptive Computing Technology Stack indicates a holistic approach that covers everything from the user-friendly interface to application deployment, AI development tools/frameworks/models, and infrastructure deployment. Now, X-ScaleAI is also available as part of the technology stack supporting a range of Large Language Models (LLMs) and Vision models. This end-to-end coverage is crucial for ensuring a seamless experience for users, as it eliminates the need to navigate through multiple vendors or platforms to access different components of HPC/AI infrastructure and tool sets.

Moreover, the multi-cloud access feature adds flexibility and scalability to the service, allowing customers to leverage HPC/AI resources across various cloud providers such as AWS, Azure, OCI, and GCP. This ensures that organizations can choose the cloud environment that best suits their requirements without being tied to a single vendor.

The ability to launch GPU-enabled multi-node clusters with MPI on AWS using EFA further enhances the accessibility and usability of the service. This is ideal for high-performance computing (HPC), machine learning (ML), and deep learning (DL) workloads and empowers users to efficiently deploy and manage AI infrastructure without the need for specialized technical expertise, lowering the barrier to entry for AI adoption.

Overall, Adaptive Computing’s HPC/AI/ML as a Service offering provides a robust foundation for organizations looking to kick-start their AI initiatives, offering the necessary tools and resources at an affordable monthly rate based on the number of users.

“Adaptive Computing is delighted to be officially allied with X-ScaleSolutions,” said Art Allen, CEO of Adaptive Computing. “The new strategic partnership provides customers with the highest level of expertise and efficiency available in the HPC/AI space.”

About Adaptive Computing

Adaptive Computing is a global software company headquartered in Naples, Florida, USA, and has provided advanced applications and tools to the High-Performance Computing industry for over two decades with hundreds of deployments on the world’s largest computing installations. Adaptive Computing products and services are used by organizations of all sizes across a broad range of industries such as High-Tech Manufacturing, Aerospace Engineering, Defense, Universities and Research Labs, Life Sciences, Oil and Gas Exploration, Financial Services, and Data Analytics. Some of the world’s largest clusters, grids, and data centers use Adaptive’s Moab HPC Suite and the HPC Cloud On-Demand Data Center to maximize performance and value, simplify management, and create a competitive advantage.


Source: Adaptive Computing

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!

Under The Wire: Nearly HPC News (June 13, 2024)

June 13, 2024

As managing editor of the major global HPC news source, the term "news fire hose" is often mentioned. The analogy is quite correct. In any given week, there are many interesting stories, and only a few ever become headli Read more…

Quantum Tech Sector Hiring Stays Soft

June 13, 2024

New job announcements in the quantum tech sector declined again last month, according to an Quantum Economic Development Consortium (QED-C) report issued last week. “Globally, the number of new, public postings for Qu Read more…

Labs Keep Supercomputers Alive for Ten Years as Vendors Pull Support Early

June 12, 2024

Laboratories are running supercomputers for much longer, beyond the typical lifespan, as vendors prematurely deprecate the hardware and stop providing support. A typical supercomputer lifecycle is about five to six years Read more…

MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added

June 12, 2024

There are really two stories packaged in the most recent MLPerf  Training 4.0 results, released today. The first, of course, is the results. Nvidia (currently king of accelerated computing) wins again, sweeping all nine Read more…

Highlights from GlobusWorld 2024: The Conference for Reimagining Research IT

June 11, 2024

The Globus user conference, now in its 22nd year, brought together over 180 researchers, system administrators, developers, and IT leaders from 55 top research computing centers, national labs, federal agencies, and univ 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 firm TechInsights. Nvidia's GPU shipments in 2023 grew by more Read more…

Under The Wire: Nearly HPC News (June 13, 2024)

June 13, 2024

As managing editor of the major global HPC news source, the term "news fire hose" is often mentioned. The analogy is quite correct. In any given week, there are Read more…

Labs Keep Supercomputers Alive for Ten Years as Vendors Pull Support Early

June 12, 2024

Laboratories are running supercomputers for much longer, beyond the typical lifespan, as vendors prematurely deprecate the hardware and stop providing support. Read more…

MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added

June 12, 2024

There are really two stories packaged in the most recent MLPerf  Training 4.0 results, released today. The first, of course, is the results. Nvidia (currently Read more…

Highlights from GlobusWorld 2024: The Conference for Reimagining Research IT

June 11, 2024

The Globus user conference, now in its 22nd year, brought together over 180 researchers, system administrators, developers, and IT leaders from 55 top research 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…

ASC24 Expert Perspective: Dongarra, Hoefler, Yong Lin

June 7, 2024

One of the great things about being at an ASC (Asia Supercomputer Community) cluster competition is getting the chance to interview various industry experts and Read more…

HPC and Climate: Coastal Hurricanes Around the World Are Intensifying Faster

June 6, 2024

Hurricanes are among the world's most destructive natural hazards. Their environment shapes their ability to deliver damage; conditions like warm ocean waters, Read more…

ASC24: The Battle, The Apps, and The Competitors

June 5, 2024

The ASC24 (Asia Supercomputer Community) Student Cluster Competition was one for the ages. More than 350 university teams worked for months in the preliminary competition to earn one of the 25 final competition slots. The winning teams... 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…

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…

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…

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…

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…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. 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…

Leading Solution Providers

Contributors

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... 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…

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…

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…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to 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…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire