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NextSilicon Unveils New Processor to Compete with Intel, AMD, and Nvidia

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Israeli startup NextSilicon has announced the development of a new central processing unit (CPU) aimed at challenging industry leaders Intel and AMD, while positioning itself as an alternative to Nvidia’s computing systems. The company’s flagship “Maverick-2” chip is already in production and is designed for high-precision scientific computing tasks such as nuclear weapons modeling — an area historically dominated by Nvidia.

NextSilicon, which has raised $300 million in funding, revealed that its upcoming CPU is based on RISC-V, an open-source instruction set architecture increasingly adopted by major chipmakers like Nvidia and Broadcom. The CPU is currently a test prototype but will eventually complement the company’s Maverick-2 chip to create a more complete high-performance computing ecosystem.

The startup claims its chips can perform certain computations faster and more efficiently than Nvidia’s offerings, without requiring software rewrites. U.S. Sandia National Laboratories has been testing systems powered by NextSilicon chips for three years. According to senior scientist James H. Laros III, the results have been “impressive,” showing strong potential for advancing computational performance while minimizing code changes.

CoreWeave to Acquire Core Scientific in $9 Billion AI Infrastructure Deal

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CoreWeave announced on Monday it will acquire bitcoin miner Core Scientific in an all-stock deal valued at approximately $9 billion, as AI infrastructure companies intensify efforts to secure energy and data center capacity to meet surging demand. The deal reflects a broader trend where crypto firms—once focused on digital assets—are becoming essential to powering artificial intelligence workloads.

Core Scientific shareholders will receive 0.1235 CoreWeave shares for each of their shares, valuing the company at $20.40 per share—a 66% premium from the stock’s last closing price before deal talks emerged in late June. Despite this, Core Scientific shares dropped 22% in early trading Monday, while CoreWeave shares slid 4.5%.

The acquisition is expected to close in Q4 2025, with the final price set at that time. CoreWeave CEO Michael Intrator said the deal will “accelerate our strategy to deploy AI and HPC workloads at scale” and eliminate over $10 billion in future lease liabilities over 12 years.

A Strategic Pivot from Crypto to AI

Bitcoin miners, known for their energy-intensive operations, are increasingly being courted by AI companies. CoreWeave will gain control of Core Scientific’s 1.3 gigawatts (GW) of contracted power—critical capacity in the tight market for AI data center expansion.

Analyst Gautam Chhugani of Bernstein noted that the deal “sets the bar” for other crypto miners considering an AI pivot, with power supply emerging as a key bottleneck for the AI industry.

Founded in 2017 as an Ethereum miner, CoreWeave pivoted toward AI following Ethereum’s “Merge” upgrade in 2022, which rendered mining unprofitable. Since then, its revenue has surged, growing over eightfold in 2024, according to its IPO prospectus. The company now has a market valuation of about $79 billion.

A Turnaround Story for Core Scientific

Core Scientific filed for bankruptcy in late 2022, hit hard by plummeting bitcoin prices and soaring energy costs. It emerged in early 2024 with a renewed strategy, signing 12-year agreements with CoreWeave to lease out data center capacity—including one deal for 200 MW of infrastructure for AI computing.

The merger marks a dramatic turnaround and a strategic shift for Core Scientific, from mining crypto to becoming a foundational pillar of AI infrastructure.

Goldman Sachs advised CoreWeave on the transaction, while Moelis & Co and PJT Partners advised Core Scientific.

Taiwan’s Wistron Targets Up to $923 Million in Luxembourg Share Sale

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Taiwanese electronics manufacturer Wistron Corp is aiming to raise up to $923 million through the sale of global depository shares (GDS), according to a term sheet reviewed by Reuters. The GDS will be listed in Luxembourg, and trading is scheduled to begin on June 16.

Wistron, a key supplier to Nvidia, plans to issue up to 250 million depository shares priced between $36.20 and $36.93 each. This pricing represents a 4% to 6% discount compared to Wistron’s closing stock price of NT$115 ($3.85) on Thursday.

The company has not issued a public statement regarding the offering as of now. According to the term sheet, proceeds from the share sale will primarily be used to purchase raw materials denominated in foreign currencies—reflecting Wistron’s strategy to better manage currency risks tied to its international supply chain operations.

Expanding U.S. Presence for AI and High-Performance Computing

Wistron’s fundraising comes as it expands its operations to meet surging demand in the high-performance computing and AI sectors. Last month, the company announced that its new U.S. manufacturing facilities—being prepared for customer Nvidia—are expected to be operational next year. The facilities will focus on producing AI-related hardware and high-performance computing products.

The move aligns with Nvidia’s rapid growth in AI-driven technologies, as well as a broader industry shift toward more diversified and localized manufacturing capabilities, particularly in response to global supply chain disruptions.

Additionally, Wistron disclosed that it is actively engaged in discussions with other potential customers to expand its client base in these rapidly growing technology sectors.

Strategic Capital Raising Amid Currency Volatility

By raising funds through the GDS offering in Luxembourg, Wistron is diversifying its capital sources while also mitigating currency fluctuation risks. The global nature of its customer and supplier relationships makes access to foreign currency-denominated funds increasingly critical.

The GDS structure also allows Wistron to tap into a broader pool of international investors, while enhancing its financial flexibility to support ongoing expansion efforts in both manufacturing capacity and technological innovation.