TechCrunch

DECEMBER 14, 2022

EnCharge AI , a company building hardware to accelerate AI processing at the edge , today emerged from stealth with $21.7 Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements.

Hardware 216

Hardware Development Artificial Inteligence Machine Learning 216

TechCrunch

JANUARY 9, 2023

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. ” The Fungible team will join Microsoft’s data center infrastructure engineering teams, Bablani said. .

Azure 282

Azure Data Center Data Storage 282

CIO

NOVEMBER 1, 2024

11:11 Systems offers a wide array of connectivity services, including wide area networks and other internet access solutions that exceed the demanding requirements that a high-performance multi-cloud environment requires. At 11:11, we offer real data on what it will take to migrate to our platform and achieve multi- and hybrid cloud success.

Systems Review 158

Systems Review System Enterprise Data 158

CIO

JULY 18, 2023

We have invested in the areas of security and private 5G with two recent acquisitions that expand our edge-to-cloud portfolio to meet the needs of organizations as they increasingly migrate from traditional centralized data centers to distributed “centers of data.” The new service packs will be orderable later in 2023.

Data Center 147

Data Center Cloud Data Storage 147

TechCrunch

NOVEMBER 16, 2020

. “They came up with a very compelling architecture for AI that minimizes data movement within the chip,” Annavajjhala explained. “That gives you extraordinary efficiency — both in terms of performance per dollar and performance per watt — when looking at AI workloads.”

Weak Development Team 326

Weak Development Team Hardware Architecture Automotive 326

CIO

MARCH 18, 2025

1] However, expanding AI within organizations comes with challenges, including high per-seat licensing costs, increased network loads from cloud-based services, environmental impacts from energy-intensive data centers, and the intrinsic difficulty of complex technology integrations. Fortunately, a solution is at hand.

Business Transformation 116

Business Transformation Hardware Windows Study 116

CIO

MARCH 31, 2025

Core challenges for sovereign AI Resource constraints Developing and maintaining sovereign AI systems requires significant investments in infrastructure, including hardware (e.g., high-performance computing GPU), data centers, and energy.

Technical Review 117

Technical Review Artificial Inteligence Compliance Open Source 117

TechCrunch

FEBRUARY 10, 2021

NeuReality , an Israeli AI hardware startup that is working on a novel approach to improving AI inferencing platforms by doing away with the current CPU-centric model, is coming out of stealth today and announcing an $8 million seed round. The group of investors includes Cardumen Capital, crowdfunding platform OurCrowd and Varana Capital.

Hardware 250

Hardware Data Center Architecture Storage 250

CIO

JUNE 20, 2023

Finding the answer to the world’s most pressing issues rests on one crucial capability: high performance computing (HPC). Dollars are moving to purchasing new energy-efficient hardware or devoting resources to optimization efforts or changing where HPC workloads are run.

Sustainability 158

Sustainability Performance Energy Hardware 158

CIO

JUNE 6, 2023

All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. The apps and tools have to gather, process and deliver back data to the consumer with minimal latency. Hardware innovations become imperative to sustain this revolution.

Hardware 147

Hardware Artificial Inteligence Applications Wireless 147

CIO

APRIL 9, 2025

Moving workloads to the cloud can enable enterprises to decommission hardware to reduce maintenance, management, and capital expenses. There are many compelling use cases for running VMs in Google Cloud VMware Engine, including: Data center extension. Refresh cycle. Disaster recovery.

Cloud 88

Cloud Google Cloud Disaster Recovery Data Center 88

TechCrunch

DECEMBER 6, 2022

But the competition, while fierce, hasn’t scared away firms like NeuReality , which occupy the AI chip inferencing market but aim to differentiate themselves by offering a suite of software and services to support their hardware. NeuReality’s NAPU is essentially a hybrid of multiple types of processors.

Marketing 239

Marketing Hardware Part-Time VPE Data Center 239

Crunchbase News

JANUARY 7, 2025

Drawing from current deployment patterns where companies like OpenAI are racing to build supersized data centers to meet the ever-increasing demand for compute power three critical infrastructure shifts are reshaping enterprise AI deployment. Here’s what technical leaders need to know, beyond the hype.

Enterprise 114

Enterprise Infrastructure Blockchain Artificial Intelligence 114

Kaseya

DECEMBER 9, 2020

With businesses planning and budgeting for their Information Technology (IT) needs for 2021, deciding on whether to build or expand their own data centers may come into play. There are significant expenses associated with a data center facility, which we’ll discuss below. What Is a Colocation Data Center?

Data Center 111

Data Center Disaster Recovery Data Backup 111

CIO

APRIL 1, 2024

And if the Blackwell specs on paper hold up in reality, the new GPU gives Nvidia AI-focused performance that its competitors can’t match, says Alvin Nguyen, a senior analyst of enterprise architecture at Forrester Research. They basically have a comprehensive solution from the chip all the way to data centers at this point,” he says.

Hardware 148

Hardware Artificial Inteligence Off-The-Shelf Generative AI 148

CIO

MAY 5, 2023

Deploying AI workloads at speed and scale, however, requires software and hardware working in tandem across data centers and edge locations. Foundational IT infrastructure, such as GPU- and CPU-based processors, must provide big capacity and performance leaps to efficiently run AI. 6-8x improvement in performance.

Infrastructure 147

Infrastructure Performance Pharmaceuticals Artificial Intelligence 147

TechCrunch

OCTOBER 19, 2022

For IT teams, satisfying new climate-friendly energy budgets is presenting a challenge, particularly when dealing with older computer hardware. At the same time, acquiring improved, less power-sucking machines is becoming tougher both because of shipping backlogs and because hardware is quickly running up against efficiency limits.

Technical Review 220

Technical Review Hardware Systems Review Data Center 220

TechCrunch

NOVEMBER 5, 2021

billion dollars tied to Helion reaching key performance milestones. ” Helion’s CEO speculates that its first customers may turn out to be data centers, which have a couple of advantages over other potential customers. In addition, they tend to be a little away from population centers.

Energy 363

Energy Technical Review Data Center Backup 363

CIO

NOVEMBER 27, 2023

Here are six tips for developing and deploying AI without huge investments in expert staff or exotic hardware. However, the investment in supercomputing infrastructure, HPC expertise, and data scientists is beyond all but the largest hyperscalers, enterprises, and government agencies. Not at all.

Artificial Inteligence 198

Artificial Inteligence Generative AI ChatGPT Open Source 198

CIO

JUNE 24, 2024

Artificial intelligence (AI) and high-performance computing (HPC) have emerged as key areas of opportunity for innovation and business transformation. The power density requirements for AI and HPC can be 5-10 times higher than other data center use cases. Liquid cooling is not appropriate for all hardware or every scenario.

Data Center 166

Data Center Artificial Inteligence Case Study Sustainability 166

TechCrunch

DECEMBER 1, 2022

One of the top problems facing device manufacturers today is overheating hardware. The chips inside PCs generate heat, which — when allowed to build up — majorly hurts performance. This means consumers never really get the full processor performance they pay for. Image Credits: Frore.

Hardware 209

Hardware Mobile Performance System 209

TechCrunch

DECEMBER 6, 2022

Aiming to overcome some of the blockers to success in IT, Lucas Roh co-founded MetalSoft , a startup that provides “ bare metal ” automation software for managing on-premises data centers and multi-vendor equipment. Hostway developed software to power cloud service provider hardware, which went into production in 2014.

Infrastructure 184

Infrastructure Hardware Data Center Storage 184

CIO

AUGUST 20, 2024

AMD is acquiring server maker ZT Systems to strengthen its data center technology as it steps up its challenge to Nvidia in the competitive AI chip market. By buying ZT Systems, AMD strengthens its ability to build these high-performance systems, boosting its competitiveness against rivals such as Nvidia.

System 194

System Hardware Data Center Storage 194

Cloudera

NOVEMBER 12, 2020

Typical scenarios for most customer data centers. Most of our customers’ data centers struggle to keep up with their dynamic, ever-increasing business demands. The two examples listed here represent a quick glance at the challenges customers face due to the peak demands and extreme pressure on their data centers.

Data Center 104

Data Center Cloud Data Policies 104

Capgemini

NOVEMBER 13, 2020

IT is shifting from managing data centers to delivering value to the business. Freedom from your data center doesn’t necessarily mean you have to move it to the cloud. Is it to hold workloads in your own data center or utilize a provider’s data center whereby they own and maintain it?

Data Center 98

Data Center Data Technical Review Cloud 98

CIO

JANUARY 4, 2024

Articul8 AI will be led by Arun Subramaniyan, formerly vice president and general manager in Intel’s Data Center and AI Group. One of the first organizations to use Articul8 was Boston Consulting Group (BCG), which runs it in its data centers for enterprise customers requiring enhanced security.

Enterprise 183

Enterprise Company Generative AI Telecommunications 183

TechCrunch

NOVEMBER 8, 2022

Increasingly, as Moore’s law rears its ugly head, computer chip developers are adopting “chiplet” architectures to scale their hardware’s processing power. Chiplets offer a number of advantages over conventional designs. Chiplets offer a number of advantages over conventional designs.

Automotive 209

Automotive Energy Architecture Hardware 209

CIO

JANUARY 20, 2023

Some are relying on outmoded legacy hardware systems. Most have been so drawn to the excitement of AI software tools that they missed out on selecting the right hardware. Dealing with data is where core technologies and hardware prove essential. An organization’s data, applications and critical systems must be protected.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

JUNE 3, 2024

“You will spend on clusters with high-bandwidth networks to build almost HPC [high-performance computing]-like environments,” warns Peter Rutten, research vice president for performance-intensive computing at IDC. Do you have the data center and data science skill sets?”

Generative AI 209

Generative AI Infrastructure Artificial Inteligence Storage 209

CIO

OCTOBER 23, 2023

With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

Sustainability 190

Sustainability Data Center Technical Review Energy 190

CIO

JULY 18, 2024

By understanding their options and leveraging GPU-as-a-service, CIOs can optimize genAI hardware costs and maintain processing power for innovation.” In other words, if the tool performs well, that is, production-worthy, I’ll pay you X. Shield is also looking to negotiate cost based on the quality of the output. “I

Generative AI 204

Generative AI Artificial Inteligence Fractional CTO Open Source 204

CIO

OCTOBER 9, 2024

Look for a holistic, end-to-end approach that will allow enterprises to easily adopt and deploy GenAI, from the endpoint to the data center, by building a powerful data operation. An example is Dell Technologies Enterprise Data Management. Find out more about effective data management for your GenAI deployments.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

TechCrunch

DECEMBER 3, 2020

“The availability of smaller and more performant sensors, propelled by AR/VR and autonomous driving applications, has enabled us to equip the latest ANYmal model with 360-degree situational awareness and long-range scanning capabilities. An ANYmal at a factory, power plant, or data center could save costs and shoe leather.

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Company VR Comparison Data Center 262

Palo Alto Networks

MARCH 2, 2025

These networks are not only blazing fast, but they are also adaptive, using machine learning algorithms to continuously analyze network performance, predict traffic and optimize, so they can offer customers the best possible connectivity.

Business Transformation 97

Business Transformation Telecommunications WAN Chemicals 97

David Heinemeier Hansson

DECEMBER 19, 2023

Shortly thereafter, all the hardware we needed for our cloud exit arrived on pallets in our two geographically-dispersed data centers. Here goes: Won’t your hardware savings be swallowed by bigger team payroll? So for well over twenty years, companies have been operating hardware to run their applications.

Cloud 145

Cloud Data Center Hardware Internet 145

CIO

SEPTEMBER 14, 2023

Looking ahead to a future in which customers will move their entire data center workloads to the cloud, Microsoft and Oracle on Thursday expanded their partnership. We’re trying to hasten that process to make it easier for customers to actually move their entire data center workload into the cloud.”

Azure 167

Azure Data Center Cloud Conference 167

CIO

MAY 14, 2024

At the center of this shift is increasing acknowledgement that to support AI workloads and to contain costs, enterprises long-term will land on a hybrid mix of public and private cloud. Global spending on enterprise private cloud infrastructure, including hardware, software, and support services, will be $51.8

Cloud 215

Cloud Generative AI Airlines AWS 215