Models & Labs · United States

HPE Accelerates Enterprise AI Innovation with Next-Gen AMD CPU-Powered Servers

Credited to HPCwire · hpcwire.com · 2h ago

HOUSTON, Oct. 7, 2026 — HPE today announced the first four of its HPE ProLiant Gen13 Servers powered by 6th Generation AMD EPYC Server processors. The new systems expand compute, memory, and I/O capabilities to help enterprises accelerate agentic AI and inference, analytics, virtualization, simulation, and modeling while strengthening security, simplifying operations, and providing reliability across distributed IT environments.

As AI systems evolve from generating insights to taking autonomous action, trust becomes a prerequisite for scale. McKinsey’s 2026 AI Trust Maturity Survey found that nearly two-thirds of respondents cited security and risk concerns as the top barrier to fully scaling agentic AI. Within this evolving landscape, HPE ProLiant Gen13 helps customers address security and operational barriers with a trusted infrastructure foundation that combines HPE iLO 8 innovations for automatic protection, infrastructure trust, and post-quantum readiness with enhanced visibility and control from HPE Compute Ops Management.

“Organizations need to turn their investments in agentic AI and inference into business value without adding operational complexity or risk,” said Krista Satterthwaite, senior vice president and general manager, Compute at HPE. “For these workloads, HPE ProLiant Gen13 brings together optimized performance, built-in, automatic security, intelligent operations, and proven reliability. It gives customers a trusted foundation to modernize and innovate today and adapt as their requirements evolve.”

“AI is moving into the applications and operations that run the enterprise, fundamentally changing what organizations demand from their infrastructure,” said Dan McNamara, senior vice president and general manager, Compute and Enterprise AI, AMD. “Across generations of AMD EPYC CPUs and HPE ProLiant servers, our teams have worked side by side to turn advances in processor and system design into practical value for customers. With 6th Gen AMD EPYC processors and HPE ProLiant Gen13, we are delivering the performance, efficiency and flexibility enterprises need to scale AI while modernizing the critical workloads their businesses depend on.”

AI-ready performance across enterprise workloads

HPE is reinforcing its leadership in enterprise compute by introducing new HPE ProLiant Gen13 Servers that simplify the path to innovation and give customers the secure foundation needed for the AI era. Combining HPE engineering with 6 th Gen AMD EPYC Server processors enables delivery of higher core density, memory bandwidth, and I/O capacity.

For large-scale, compute-intensive applications, HPE is also introducing HPE ProLiant XD245 Server and HPE ProLiant XD285 Server – two systems designed to maximize compute performance within a smaller footprint. The two OCP-compliant servers combine high-density compute with efficient shared power and cooling to support data-intensive AI and HPC workloads.

Engineered to process large-scale simulations, complex computational models, and datasets at the rack level, these systems provide the capacity, bandwidth, and infrastructure flexibility – cooling and accelerator options – needed for CPU-intensive workloads including computer-aided engineering (CAE), weather and climate modeling, scientific research, and financial modeling.

HPE ProLiant Gen13 will expand beyond the systems announced today, giving customers additional choices for mainstream enterprise, edge, virtualization, software-defined infrastructure, database, and AI workloads.

Automatic security and streamlined operations

HPE ProLiant Gen13 combines automatic security from HPE Integrated Lights-Out 8 (iLO 8) with enhanced HPE Compute Ops Management capabilities to protect data and system integrity while simplifying deployment and lifecycle operations.

New industry-first features, available in HPE ProLiant Gen13, include:

New capabilities from HPE Compute Ops Management help customers operate HPE ProLiant Gen13 infrastructure with greater efficiency and resiliency through low-touch onboarding, and near real-time power capacity insights. Organizations using HPE Compute Ops Management spent 50% less time managing servers and generated 209% ROI.

Proven Reliability for Evolving Infrastructure Needs

Each new generation of HPE ProLiant undergoes more than 1,000 tests and 10,000 hours of validation to help deliver consistent performance, availability, and resilience enterprises depend on, this includes advanced stress and corner-case testing that push the systems beyond published operating limits. Reliability is the leading HPE ProLiant customer purchase driver, for four consecutive years, with 81% citing reliable performance as a key differentiator from other server vendors and twice-fast support resolution. Additionally, HPE Tech Care Service further strengthens resiliency by delivering up to 97% less unplanned downtime, helping customers prevent, identify, and resolve issues as infrastructure needs change.

HPE ProLiant Gen13 Servers are available through HPE Financial Services’ 90/9 Advantage program. With no payments for 90 days, followed by nine months at 1% per month, the program helps organizations move forward with critical technology investments outside budget cycles.

CapitalMiddle East & Africa

OpenAI in Talks With UAE Funds, BlackRock for $30 Billion Funding Round

Credited to TheElec · thelec.net6h ago

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OpenAI is pursuing a major fundraising effort targeting sovereign wealth funds in the United Arab Emirates (UAE) and the world’s largest asset manager, BlackRock, as it pushes back its initial public offering (IPO) to next year. The company appears to be turning to the Middle East’s deep pool of oil wealth to cover massive infrastructure and technology development costs.

On Oct. 6 local time, Bloomberg reported, citing people familiar with the matter, that OpenAI is in talks with several major UAE investment funds, including Abu Dhabi-based technology investment firm MGX, to raise a total of $30 billion in a new funding round. MGX has previously participated in funding rounds for OpenAI and Anthropic. According to THE ELEC, MGX raised about $50 billion earlier this year to accelerate investment in AI infrastructure and core technologies.

OpenAI is valuing itself at about $1.4 trillion and is seeking to raise at least $30 billion. The company’s most recent funding round was in March, when it raised $122 billion at a valuation of $852 billion.

The UAE funds are discussing forming a consortium to participate in the funding round and are considering contributing as much as $10 billion of the total investment, according to people familiar with the matter. BlackRock is also in talks to join the funding round alongside the consortium. OpenAI, BlackRock, and MGX did not respond to requests for comment.

Altman has said that taking OpenAI public would expose the company to short-term stock-market valuations and could influence decisions on AI safety, calling an IPO in 2026 premature as the company focuses on technology development and responding to government regulation.

Boomberg reported that the latest funding round differs from the typical venture-capital funding process. Normally, a selected lead investor presents a valuation and proposes specific investment terms before negotiating with the company. OpenAI, however, is leveraging its dominant market position to set its pre-money valuation at $1.4 trillion and present that figure to potential investors as a fixed price.

Meanwhile, ChatGPT is currently running advertising services in more than 60 markets worldwide, with annual recurring revenue (ARR) from the business reportedly exceeding $1 billion.

Original · TheElec

Front Method

Models & Labs · United States

Stuut cashes in on agentic order-to-cash automation with $52.5M in funding

Credited to SiliconANGLE · siliconangle.com · 9h ago

Photograph · SiliconANGLE

Artificial intelligence companies that can help even bigger companies to get paid are likely to make a fair bit of money themselves, if the example of Stuut Inc. is any indication.

The company today said it has closed on a Series B funding round worth $52.5 million, bringing its total amount raised to $93 million to date. What’s really notable about the round isn’t so much the money, but the investors, which are among the biggest venture capital firms in Silicon Valley. Insight Partners led the round, with participation from Andreessen Horowitz and Microsoft Corp.’s M12.

They’re backing Stuut because they believe it’s going to make a lot of people a lot of money. The startup is targeting one of the biggest challenges in doing business today – actually getting paid by your customers and clients. It says it wants to fix a broken order-to-cash process that typically wipes out up to 5% of the average enterprise’s revenue each year. That’s not an insignificant number, as it amounts to more than $1 trillion annually if you consider the amount of revenue the Fortune 500 pulls in each year, Stuut says.

This money is lost because what should be a fairly simple process breaks down due to trivial administrative errors, such as missing purchase orders, bad data or invoices sent to the wrong people. Because of these errors, finance departments have to chase down missing payments manually across multiple different billing and invoicing systems, payment portals and so on. These mini-investigations eat up thousands of hours annually, and that’s where the money is lost.

Stuut thinks it can fix this, and its solution won’t surprise anyone. It’s using AI agents to automate the entire order-to-cash cycle from end-to-end. Its platform covers everything from order management to invoicing, credit to collections, cash applications to payments and even handles disputes.

Even better, its customers don’t have to abandon the existing software they’re using. Stuut integrates its agents directly into existing enterprise resource planning and customer relationship management systems and payment gateways.

Stuut co-founder and Chief Executive Tarek Alaruri explained that for each customer, its platform builds up a “living memory” of its payment behavior and portal quirks, which provides the context it needs to chase up missing payments automatically. “Most businesses don’t have the bandwidth to segment their base or give customers the level of service they deserve,” he said. “By leveraging AI, we’re able to deliver the only solution with continuous learning loops to improve the customer experience, reduce churn and deliver better financial performance.”

According to Alaruri, it’s harder than ever for enterprises to keep up with manual payment collections because of a severe shortage of qualified financial experts. More than 300,000 accountants have left the profession since 2019, which is one of the main reasons why U.S. businesses are chasing a combined $7.2 trillion worth of unpaid receivables. Existing payments and billing software simply organizes things, but it does little in terms of executing the work needed to ensure invoices are paid on time.

By matching more than 95% of incoming payments with orders automatically and facilitating more than 81% of outbound collections without any human intervention, Stuut says it can cut the average customer’s days sales outstanding by 47%. That’s why it has grown its customer base more than fivefold in the last year, processing more than $3 billion worth of payments during that time.

Its client list now extends to more than 150 large enterprises, including Verifone Inc., Bishop Lifting Products Inc. and ZoomInfo Technologies LLC. With ZoomInfo, Stuut was able to help it reduce time-to-first-touch by more than 90% while reducing its days sales outstanding from 51 to just 40 days.

Julian Marcu of Insight Partners said many businesses have more cash tied up in receivables than they realize. “A single invoice error can trigger weeks of follow-up across teams and systems and at scale that adds up to real revenue left on the table,” he explained. “Stuut has figured out how to use agents to execute that recovery process and match cash to invoices while fitting naturally within the controls, workflows and systems finance teams already use.”

Stuut not only aims to help customers get paid faster, but also expand deeper into enterprise financial infrastructure. With the funds from today’s round, it’s going to invest in credit scoring, lending and automated fund movement services, as part of its overall goal of managing businesses’ entire transaction processes, from initial sales to the final bank deposit.

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​OpenAI in Talks With UAE Funds, BlackRock for $30 Billion Funding Round

OpenAI in Talks With UAE Funds, BlackRock for $30 Billion Funding Round