[SPONSORED GUEST ARTICLE] Meta (formerly Facebook) has a corporate culture of aggressive technology adoption, particularly in the area of AI and adoption of AI-related technologies, such as GPUs that drive AI workloads. Members of a virtual reality research project were in need of greater GPU-driven compute ….
At GTC 2024: Liqid UltraStack Servers with up to 20 NVIDIA GPUs
March 25, 2024 by
At GTC 2024 we caught up with Sumit Puri, co-founder of composable computing company Liqid, to discuss the company’s GPU-power UltraStack, which he said transforms 2U servers into high-density GPU systems powered by NVIDIA L40S GPUs.
Two Key Considerations of a Composable Infrastructure Cluster
June 13, 2022 by
In this sponsored post, our friends over at Silicon Mechanics indicated that these days, they’re getting a lot of interest from clients about composable disaggregated infrastructure (CDI), including what the most critical elements are for CDI-based clusters. Successful deployments are more likely when clients understand why their design team focuses on certain areas more than others and how design decisions can impact end user experience, so this article outlines some key elements of CDI-based clusters.
Optimizing Resource Utilization and Maximizing ROI with Composable Infrastructure
April 18, 2022 by
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.
Liqid Expands Infrastructure Composability to GPUs
November 15, 2021 by
Composable infrastructure company Liqid was one of the first entrants in that market segment, and the company has steadily built up its composable capabilities since its founding eight years ago. In this interview with Sumit Puri, Liqid CEO and co-founder, he says it’s all about “moving away from what we call ‘statically configured infrastructure’ to […]
Liqid Announces Slurm Workload Manager Integration for HPC Workloads
March 10, 2021 by
Liqid, provider of a composable disaggregated infrastructure (CDI) platform, today announced dynamic Slurm Workload Manager integration for its Liqid Matrix Software, delivering a tool for HPC deployments designed to optimize resource utilization for artificial intelligence (AI). Liqid uses the Slurm integration to compose servers on submission from pools of compute, storage and GPU resources via […]
Radio Free HPC: Liqid Gets Hot, NSF Billion for AI
October 13, 2020 by
We have our full staff for this show – first time in a long time. We start out with introductions….Henry still lives in a survivalist compound in Las Cruces, NM, Jessi is still on crutches, and Shahin is still living in the smokie Silicon Valley. Download the MP3 Jumping right into our topic: DOD is getting two […]
Composable Supercomputing Optimizes Hardware for AI-driven Data Calculation
October 1, 2020 by
In this sponsored post, our friend John Spiers, Chief Strategy Officer at Liqid, discusses how composable disaggregated infrastructure (CDI) solutions are emerging as a solution to roadblocks to advancing the mission of high-performance computing. CDI orchestration software dynamically composes GPUs, NVMe SSDs, FPGA, networking, and storage-class memory to create software-defined bare metal servers on demand. This enables unparalleled resource utilization to deliver previously impossible performance for AI-driven data analytics.
Intelligent Fabrics for the Next Wave of AI Innovation
September 10, 2020 by
In this sponsored post, our friend John Spiers, Chief Strategy Officer at Liqid, discusses how resource utilization and the soaring costs surrounding it are a constant push and pull issue for IT Departments. Now with the emergence of AI and machine learning, resource utilization is far more front and center than it has ever been. Managing legacy hardware in a hyperconverged environment just as you always have is not going to cut it, because the people and hardware costs associated with these extremely heavy workloads are tremendous. Intelligent fabrics and composable infrastructure software deliver a solution to the problem that allows IT providers the ability to pool and deploy their hardware resources to adapt to the workload at hand, then re-deploy as required for a balanced system that can address the demands of AI and machine learning.
DOD Inks $32M HPC Deal with Liqid; Forms AI Partnership with DOE, Microsoft
August 24, 2020 by
The Department of Defense has made HPC news twice in the last few days – in one, the Army will spend $32 million on supercomputing technology from composable infrastructure vendor Liqid; in the other, DOD will partner with the Department of Energy and Microsoft to develop AI algorithms to support natural disaster first responders. In […]
