Ex-Millennium Trader Launches Energy Focused Hedge Fund

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Ex-Millennium Trader Launches Energy Focused Hedge Fund

A former Millennium Management LLC senior portfolio manager has launched an energy-focused hedge fund with the backing of New Holland Capital, people familiar with the matter said. New Holland typically invests $100 million to $300 million in new funds as a day-one investor and receives revenue shares in exchange, one of the people said, asking […]

A former Millennium Management LLC senior portfolio manager has launched an energy-focused hedge fund with the backing of New Holland Capital, people familiar with the matter said.

New Holland typically invests $100 million to $300 million in new funds as a day-one investor and receives revenue shares in exchange, one of the people said, asking not to be identified because the information is private.

The new fund, Saber Capital, was founded by Steve Barclay and is based in Geneva. Saber will initially focus on global liquids trading — primarily crude oil and refined products such as gasoline and diesel.

Representatives for Barclay and New Holland Capital declined to comment.

Volatility in oil markets has surged in response to US President Donald Trump’s trade moves and heightened geopolitical tensions in the Middle East. Variables in supply and demand — including how the rollout of fresh sanctions on Russia will reroute oil flows — and whether OPEC and its allies will swell global oil supplies have further clouded the outlook.

Commodities have been a major profit generator for hedge funds in recent years, with giants like Citadel raking in billions. Others such as Qube Research & Technologies are expanding in the space.

Barclay has more than two decades of experience in energy markets and was most recently a senior portfolio manager at Millennium Management. He was previously an energy specialist at Goldman Sachs Group Inc. and an adviser to multi-billion-dollar hedge funds.

Barclay joins a growing cohort of money managers departing marquee hedge funds to start their own firms.

Saber Capital was launched earlier this year and trading began in late May, the people said, adding that Barclay is currently the only risk taker.

The firm, which also has an office in Zurich, is raising capital in separately managed accounts and working with another investor to launch a commingled fund by the end of the year, according to one of the people. Barclay plans to cap capital at about $1 billion so as to not impact returns, the person said.

New Holland Capital is an alternative investment manager that manages about $7 billion in absolute return strategies for institutional clients. The firm also recently allocated about $300 million to Crucible Commodities Management, a hedge fund set up by traders formerly with Millennium and Gunvor Group, the people said.

New Holland’s multi-manager, multi-strategy Tactical Alpha Fund was up about 10% in 2024, Bloomberg has reported. Commodities have been the biggest risk contributor to the portfolio since the launch of that fund in 2021, one of the people said.

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Shell Profit Beats Estimates in Volatile Quarter

Shell Plc reported second-quarter profit that dropped by 32 percent but beat analyst expectations, which had been lowered after a bearish trading update earlier this month. Shell’s shares were up 2.7 percent in London on Thursday morning, after the company reported the earnings beat and maintained its pace of buying back $3.5 billion of shares in the quarter. Analysts noted that Shell’s cash flow from operations of $12.3 billion was well ahead of consensus expectations of $10.1 billion. The drop in profit from a year earlier reflected lower oil and gas prices, as well as weaker performance from the company’s oil traders. Shell Chief Executive Officer Wael Sawan has spent the past two years seeking to cut costs, improve reliability and shed underperforming assets in an effort to close a valuation gap with Shell’s US rivals. The “sprint” has begun to pay off, as the company has outperformed its Big Oil peers so far in 2025. Maintaining the buyback level “should be well-received,” said Jefferies analyst Giacomo Romeo said. “It’s been quarter after quarter of just steady delivery,” Sawan said in an interview with Bloomberg Television. “That’s 15 quarters in a row where we are delivering 3 or more billion dollars per quarter buybacks and that’s key for us.” Shell reduced its structural costs by a further $800 million in the first half, bringing the pre-tax total since 2022 to $3.9 billion, it said. Net debt rose to $43.2 billion from $41.5 billion in the first quarter. Analysts had cut their forecasts for earnings after Shell warned July 7 that earnings from its fabled trading division would be “significantly lower” than the prior quarter. Shell’s traders are often one of its biggest profit boosters, and Sawan said in March that its traders haven’t lost money in a single quarter over the past

Shell Profit Falls as Traders Grapple with Volatility

Data center survey: AI gains ground but trust concerns persist

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Micron unveils PCIe Gen6 SSD to power AI data center workloads

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AI Deployments are Reshaping Intra-Data Center Fiber and Communications

Artificial Intelligence is fundamentally changing the way data centers are architected, with a particular focus on the demands placed on internal fiber and communications infrastructure. While much attention is paid to the fiber connections between data centers or to end-users, the real transformation is happening inside the data center itself, where AI workloads are driving unprecedented requirements for bandwidth, low latency, and scalable networking. Network Segmentation and Specialization Inside the modern AI data center, the once-uniform network is giving way to a carefully divided architecture that reflects the growing divergence between conventional cloud services and the voracious needs of AI. Where a single, all-purpose network once sufficed, operators now deploy two distinct fabrics, each engineered for its own unique mission. The front-end network remains the familiar backbone for external user interactions and traditional cloud applications. Here, Ethernet still reigns, with server-to-leaf links running at 25 to 50 gigabits per second and spine connections scaling to 100 Gbps. Traffic is primarily north-south, moving data between users and the servers that power web services, storage, and enterprise applications. This is the network most people still imagine when they think of a data center: robust, versatile, and built for the demands of the internet age. But behind this familiar façade, a new, far more specialized network has emerged, dedicated entirely to the demands of GPU-driven AI workloads. In this backend, the rules are rewritten. Port speeds soar to 400 or even 800 gigabits per second per GPU, and latency is measured in sub-microseconds. The traffic pattern shifts decisively east-west, as servers and GPUs communicate in parallel, exchanging vast datasets at blistering speeds to train and run sophisticated AI models. The design of this network is anything but conventional: fat-tree or hypercube topologies ensure that no single link becomes a bottleneck, allowing thousands of

ABB and Applied Digital Build a Template for AI-Ready Data Centers

Toward the Future of AI Factories The ABB–Applied Digital partnership signals a shift in the fundamentals of data center development, where electrification strategy, hyperscale design and readiness, and long-term financial structuring are no longer separate tracks but part of a unified build philosophy. As Applied Digital pushes toward REIT status, the Ellendale campus becomes not just a development milestone but a cornerstone asset: a long-term, revenue-generating, AI-optimized property underpinned by industrial-grade power architecture. The 250 MW CoreWeave lease, with the option to expand to 400 MW, establishes a robust revenue base and validates the site’s design as AI-first, not cloud-retrofitted. At the same time, ABB is positioning itself as a leader in AI data center power architecture, setting a new benchmark for scalable, high-density infrastructure. Its HiPerGuard Medium Voltage UPS, backed by deep global manufacturing and engineering capabilities, reimagines power delivery for the AI era, bypassing the limitations of legacy low-voltage systems. More than a component provider, ABB is now architecting full-stack electrification strategies at the campus level, aiming to make this medium-voltage model the global standard for AI factories. What’s unfolding in North Dakota is a preview of what’s coming elsewhere: AI-ready campuses that marry investment-grade real estate with next-generation power infrastructure, built for a future measured in megawatts per rack, not just racks per row. As AI continues to reshape what data centers are and how they’re built, Ellendale may prove to be one of the key locations where the new standard was set.

Amazon’s Project Rainier Sets New Standard for AI Supercomputing at Scale

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Google and CTC Global Partner to Fast-Track U.S. Power Grid Upgrades

On June 17, 2025, Google and CTC Global announced a joint initiative to accelerate the deployment of high-capacity power transmission lines using CTC’s U.S.-manufactured ACCC® advanced conductors. The collaboration seeks to relieve grid congestion by rapidly upgrading existing infrastructure, enabling greater integration of clean energy, improving system resilience, and unlocking capacity for hyperscale data centers. The effort represents a rare convergence of corporate climate commitments, utility innovation, and infrastructure modernization aligned with the public interest. As part of the initiative, Google and CTC issued a Request for Information (RFI) with responses due by July 14. The RFI invites utilities, state energy authorities, and developers to nominate transmission line segments for potential fast-tracked upgrades. Selected projects will receive support in the form of technical assessments, financial assistance, and workforce development resources. While advanced conductor technologies like ACCC® can significantly improve the efficiency and capacity of existing transmission corridors, technological innovation alone cannot resolve the grid’s structural challenges. Building new or upgraded transmission lines in the U.S. often requires complex permitting from multiple federal, state, and local agencies, and frequently faces legal opposition, especially from communities invoking Not-In-My-Backyard (NIMBY) objections. Today, the average timeline to construct new interstate transmission infrastructure stretches between 10 and 12 years, an untenable lag in an era when grid reliability is under increasing stress. In 2024, the Federal Energy Regulatory Commission (FERC) reported that more than 2,600 gigawatts (GW) of clean energy and storage projects were stalled in the interconnection queue, waiting for sufficient transmission capacity. The consequences affect not only industrial sectors like data centers but also residential areas vulnerable to brownouts and peak load disruptions. What is the New Technology? At the center of the initiative is CTC Global’s ACCC® (Aluminum Conductor Composite Core) advanced conductor, a next-generation overhead transmission technology engineered to boost grid

Microsoft will invest $80B in AI data centers in fiscal 2025

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

2025 playbook for enterprise AI success, from agents to evals

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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