KALEAO Unveils KMAX

October 3, 2016

Oct. 3 — KALEAO, an intellectual property and server solutions company, announced today the availability of its groundbreaking hyperconverged platform, KMAX. KMAX is capable of achieving results that mark a significant milestone in the simplification and reduction of the cost for IT infrastructure.

In today’s era of digitally-powered innovation, service providers and IT organizations face the constant challenge of delivering ever increasing IT services seamlessly, with simplified operations and web scale applications retaining security and leveraging innovation, all while needing to control costs.

KALEAO provides an answer to these challenges by introducing the first “true converged” compute, storage, and networking platform for enterprises and cloud computing – KMAX. KALEAO’s technology dynamically defines “physicalized” computing resources and assigns them directly to virtual machines and applications, without unnecessary software layers. An ultra-efficient lightweight hypervisor called a microvisor works seamlessly with hardware to orchestrate global pools of software defined and hardware-accelerated resources. KMAX removes the performance overhead that is typical when layering applications over a virtualized, hyperconverged platform running on commodity hardware, while enabling appliance simplicity and the flexibility of a software-defined solution. Leveraging this advanced technology and the cost advantages of ARM 64-bit hardware, KMAX is capable of achieving significant improvements in energy efficiency, density and scalability.

“KALEAO is introducing an interesting and anticipated approach to hyperconverged computing at a time of explosive growth in the market,” said David Floyer, CTO & Co-founder at Wikibon. “Their KMAX solution deploys ARM 64-bit processors and all-flash storage, which enables higher performance densities and energy savings. Wikibon will be following the adoption of the KMAX architecture closely to see what disruptions it brings to the HC space.”

Capabilities of KMAX Platform

KALEAO brought together technologies in the KMAX platform following the design principles of low power consumption, data locality, high density and high performance. The result is a significant gain for customers in terms of:

  • Performance density: 1536 CPU cores, 370 TB of all flash storage and 960Gb/s in 3U rackspace – to offer up to 10 times the performance density than today’s typical hyperconverged offerings, blades and rackmount solutions.
  • Energy efficiency: less then 15W for each 8-core server with 10Gb/s I/O, providing over four time the performance per unit of energy spent.
  • Cost reduction: KMAX further reduces an organization cost of ownership by over 3 times by allowing the adoption of web scale, flexible and manageable infrastructure, paving the way for enterprises to obtain a more efficient and agile IT management that translates into bottom line savings.

KMAX is available in two editions: a Server Edition, which comes with KALEAO hardware and essential software for an open, tightly converged platform, or the Appliance Edition, built on the KMAX server with full true hyperconverged functionality in an integrated, turn-key, appliance-based solution.

KMAX will be available via an Early Adopter Program beginning in October 2016 with full commercial availability in January 2017.

KALEAO’s KMAX will be on display at IP Expo Europe, at Excel London, October 5 and 6 at booth L20.

“We are very happy about what we have achieved with KMAX,” said Giampietro Tecchiolli, CEO, KALEAO. “KALEAO has succeeded in creating and leveraging innovative technologies, making them transparent and usable with KMAX, a platform that will help IT leaders achieve more operational efficiency, to provide better service and lower TCO. We are looking forward to the next few months as KMAX delivers its unique value across the server and the hyperconverged markets.”

About KALEAO

KALEAO is spearheading the new generation of enterprise and cloud computing by natively converging computation, storage, networking and virtualization into compact, energy efficient, transparent, integrated hardware and software solutions. Its flagship product, KMAX, offers true converged infrastructure in an extremely compact, scalable and low power platform. KMAX provides all of the benefits of hyperconvergence with advanced software defined hardware and integrated appliance level web-scale application delivery and management platform. KMAX delivers more for less, enabling the effortless deployment and management of the services required across the cloud and modern business. Find out more about KMAX and KALEAO at www.kaleao.com.


Source: KALEAO

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!

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 XL — were added to the benchmark suite as MLPerf continues 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 power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device 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 the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa 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…

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…

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…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen 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…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

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…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a 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…

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…

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…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

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 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t 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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire