Nimbix Unveils Expanded Cloud Product Strategy

January 18, 2017

RICHARDSON, Tex., Jan. 18 — Nimbix, a leading provider of high performance and cloud supercomputing services, announced today its new combined product strategy for enterprise computing, end users and developers.  This new strategy will focus on three key capabilities – JARVICE Compute for high performance processing, including Machine Learning, AI and HPC workloads; PushToCompute for application developers creating and monetizing high performance workflows; and MaterialCompute, a brand new intuitive user interface, featuring the industry’s largest high performance application marketplace available from a cloud provider.

Nimbix’s JARVICE platform powers the Nimbix Cloud and is capable of processing massively parallel turnkey workflows ranging from enterprise simulation to machine learning and serving all major industries and organizations.  Unlike other cloud providers who leverage virtualization technology to provide slices of a physical machines to users, JARVICE delivers high performance computation on bare-metal supercomputing systems using Nimbix’s patented Reconfigurable Cloud Computing technology and fully containerized application components for agility and security.  JARVICE powers the Nimbix Cloud and is also available as a product for both hosted and on-premises private cloud deployments.

PushToCompute, released in September of 2016, is the fastest, easiest way for developers to onboard commercial or open source compute-intensive applications into the cloud.  Using the industry standard Docker format, PushToCompute seamlessly interfaces with major third party registries such as Docker Hub, Google Container Registry, and others, as well as private registries. PushToCompute is available as a subscription service and will expand to include build capabilities for both x86 and POWER architectures in the first half of 2017.  With these new capabilities PushToCompute will offer end to end continuous integration as well as continuous delivery services for developers of compute intensive workflows such as machine learning and other complex algorithms.  Once deployed, these workflows can be made available in the public marketplace for monetization in an on-demand fashion.

MaterialCompute, Nimbix’s newest offering, sets a new standard for ease of use and accessibility of high-end computing services.  MaterialCompute aims to reduce clicks, improve flows, and optimize display on both desktop and mobile devices.  With MaterialCompute, users choose applications and workflows from the marketplace and execute these on the Nimbix Cloud at any scale, from any network, on any device, and leveraging any advanced computing technologies such as the latest GPUs from NVIDIA and FPGAs from Xilinx.  Developers can also leverage MaterialCompute to create and manage applications, and interface seamlessly to PushToCompute mechanisms.

“Delivering optimized technology capabilities to different communities is key to a successful public cloud offering,” said Nimbix Chief Technology Officer Leo Reiter.  “With this unified approach, Nimbix delivers discrete product capabilities to different audiences while maximizing value to all parties with the underlying power of the JARVICE platform.”

JARVICE and PushToCompute are available with both on-demand and subscription pricing.  MaterialCompute will be available for public access in February 2017 and will serve as the primary front-end for all Nimbix Cloud services.

About Nimbix

Nimbix is the leading provider of purpose-built cloud computing for big data and computation. Powered by JARVICE, the Nimbix Cloud provides high performance software as a service, dramatically speeding up data processing for Energy, Life Sciences, Manufacturing, Media and Analytics applications. Nimbix delivers unique accelerated high-performance systems and applications from its world-class datacenters as a pay-per-use service. Additional information about Nimbix is included in the company overview, which is available on the Nimbix website at https://www.nimbix.net.


Source: Nimbix

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!

Harvard/Google Use AI to Help Produce Astonishing 3D Map of Brain Tissue

May 10, 2024

Although LLMs are getting all the notice lately, AI techniques of many varieties are being infused throughout science. For example, Harvard researchers, Google, and colleagues published a 3D map in Science this week that Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of that at the upcoming ISC High Performance 2024, which is hap Read more…

Processor Security: Taking the Wong Path

May 9, 2024

More research at UC San Diego revealed yet another side-channel attack on x86_64 processors. The research identified a new vulnerability that allows precise control of conditional branch prediction in modern processors.� Read more…

The Ultimate 2024 Winter Class Round-Up

May 8, 2024

To make navigating easier, we have compiled a collection of all the 2024 Winter Classic News in this single page round-up. Meet The Teams   Introducing Team Lobo This is the other team from University of New Mex 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 become the backbone of devices with an on/off switch. Thes Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. According to the reports, photonics quantum computer developer PsiQu Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. Accordin 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…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hop Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly 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…

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…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia 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…

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…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

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…

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…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... 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…

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…

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…

A Big Memory Nvidia GH200 Next to Your Desk: Closer Than You Think

February 22, 2024

Students of the microprocessor may recall that the original 8086/8088 processors did not have floating point units. The motherboard often had an extra socket fo Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire