Constellation Energy remains committed to establishing data centers at its US power plants despite a recent regulatory challenge. Last week, the Federal Energy Regulatory Commission (FERC) blocked a deal to expand power capacity for an Amazon data centre connected to a Talen Energy nuclear facility, a decision seen as discouraging similar co-location projects. Despite this, Constellation aims to advance its vision, particularly for AI-driven facilities seeking quick, large-scale power access.
Company CEO Joseph Dominguez expressed that Constellation will continue pursuing commercial co-location strategies permitted within existing regulations while seeking further guidance from FERC. Dominguez suggested future data centers could draw directly from nuclear power and, in times of grid emergencies, redirect electricity back to the network, highlighting potential safeguards for grid reliability and regional power stability.
FERC’s decision arose partly from concerns raised by other energy providers, who argued that the Talen-Amazon arrangement risked inflating energy prices for regular consumers and straining the grid. Specifically, Talen’s proposed data center campus could have supplied 960 megawatts—enough for a city the size of Philadelphia—but FERC limited it to 300 megawatts, citing grid impact concerns.
Constellation, largest nuclear operator in the US, had supported Talen in the regulatory process, underscoring the potential for data centers to meet surging digital demand. Although Constellation’s stock dropped following FERC’s ruling, the company is exploring alternative pathways with stakeholders to move its data center plans forward efficiently.
Tenstorrent, a Silicon Valley startup founded by veterans from Apple and Intel, has secured a deal with the Japanese government to train up to 200 Japanese chip designers over the next five years. This partnership, announced on Tuesday, includes a $50 million investment shared between Tenstorrent and Japan’s Leading-edge Semiconductor Technology Centre. It is part of Japan‘s initiative to revitalise its semiconductor industry, which has seen a significant decline since its dominance in the 1980s.
Central to this revitalisation effort is Rapidus, a government-backed contract chipmaker aiming to begin mass production of advanced semiconductors by 2027. To support Rapidus’s goals, the collaboration with Tenstorrent focuses on creating future customers by educating Japanese engineers in the US about chip design. Starting in April 2025, these engineers will work closely with Tenstorrent’s experienced team, including industry veterans who have worked on Apple chips.
The agreement allows Tenstorrent to retain the chip designs created during the training, which will utilise RISC-V, an open chip design architecture. Upon returning to Japan, the engineers will be equipped to leverage their new knowledge to develop their own RISC-V designs, further contributing to the growth of Japan’s semiconductor capabilities. Tenstorrent’s Chief Customer Officer, David Bennett, emphasised that Japan’s proactive investments reflect its commitment to taking control of its technological future.
SpaceX, the aerospace company founded by Elon Musk, is urging its Taiwanese suppliers to relocate manufacturing operations off the island due to rising geopolitical tensions between China and Taiwan. This shift, aimed at reducing risk amid China’s increased military drills around Taiwan, has led some suppliers to transfer parts of their production to countries such as Vietnam and Thailand. Notable Taiwanese companies, including Chin-Poon Industrial and Wistron NeWeb Corporation (WNC), confirmed that SpaceX requested they move production, citing geopolitical concerns.
In response, WNC has already started producing network equipment for SpaceX’s Starlink project in Vietnam, with plans to double its workforce there. Similarly, Universal Microwave Technology has expanded in Southeast Asia, investing in new factories in Vietnam and Thailand, while Shenmao Technology is establishing a $5 million unit in Vietnam. These shifts align with Taiwanese tech companies’ broader efforts to diversify their operations outside Taiwan, aiming to insulate their supply chains from potential disruptions.
SpaceX’s approach underscores Musk’s complicated relationship with Taiwan, heightened after his comments last year calling Taiwan an “integral part” of China, which sparked backlash from the Taiwanese government. The company’s interest in building a manufacturing hub in Vietnam reflects an increasing trend of high-tech industries seeking stability amid geopolitical tensions, with Southeast Asia emerging as a crucial alternative for production.
MIT has unveiled a new method for training robots that scales up data in a way similar to large language models (LLMs), marking a shift from the narrow, task-focused data sets traditionally used in robotics. Imitation learning, where robots learn by observing humans, often struggles with new variables like lighting changes or unexpected obstacles. By adopting a vast data approach similar to that used in models like GPT-4, MIT’s researchers aim to help robots adapt more flexibly in varied environments.
The team developed a new architecture called Heterogeneous Pretrained Transformers (HPT), which combines information from multiple sensors and diverse settings to build robust training models. Larger transformers yielded improved outcomes, aligning with trends seen in LLMs, as HPT integrates data from multiple sources for more adaptable robotic responses.
Ultimately, researchers aspire to create a universal ‘robot brain’ that can be downloaded and used immediately without extra training. While still in early stages, the project has support from Toyota Research Institute, which recently partnered with Boston Dynamics to integrate learning research with advanced robotic hardware.
At TechCrunch Disrupt 2024, data management leaders advised AI-driven businesses to focus on incremental, practical applications rather than expansive, large-scale projects. Chet Kapoor, CEO of DataStax, stressed that AI’s effectiveness relies heavily on having robust, unstructured data at scale, but warned companies against rushing into overly ambitious initiatives. The discussion featured insights from Kapoor, Vanessa Larco of NEA, and Fivetran’s CEO George Fraser, all of whom advocated a targeted approach to data application in generative AI.
Rather than applying AI across all company functions immediately, Larco suggested that firms begin with well-defined objectives. Identifying relevant data is key, she said, and applying it selectively can avoid the pitfalls of costly errors. Companies looking to capitalise on AI should ‘work backwards’, focusing first on the issue to be solved and gathering the specific data required, Larco added.
Fraser underscored the importance of addressing current needs before planning for broader scaling. Many innovation costs, he pointed out, stem from projects that fail rather than those that succeed. His advice: ‘Only solve the problems you have today’.
Kapoor likened today’s generative AI era to the early days of mobile apps, emphasising that most AI projects are currently in exploratory stages. He believes next year will see transformational AI applications begin to shift company trajectories.
The Federal Energy Regulatory Commission (FERC) is examining the rapid growth of energy-intensive data centers being built next to US power plants. Known as co-location, this trend is driven by the tech sector’s need for large amounts of power for AI and other data-heavy operations. Co-locating data centers near power plants offers companies quicker access to electricity, bypassing the longer process of connecting to the broader grid.
However, regulators and industry experts are concerned about the impact on costs and reliability for other electricity consumers. If data centers use power plants that typically supply the public grid, there are questions about how such facilities will handle power disruptions and whether they will lean on the grid as backup. This could mean higher electricity bills for consumers who fund grid infrastructure, a point raised by FERC Commissioner Mark Christie.
The regulatory scrutiny comes as companies like Amazon and Google look to establish co-located data centers to meet growing energy needs. A recent arrangement in Pennsylvania, where Amazon bought a data center linked to a nuclear plant, has stirred debate among electric utilities over infrastructure costs and reliability. FERC’s review could lead to new guidelines clarifying financial responsibilities and operational rules for these partnerships.
e& and ZTE have forged a significant strategic collaboration by signing a Memorandum of Understanding (MOU) to foster innovation in the telecommunications sector amid current geopolitical challenges affecting technology adoption. The partnership is centred on developing energy-efficient and sustainable solutions for network infrastructure, addressing the growing global emphasis on environmental responsibility.
Additionally, they will design and develop advanced 5G and 5G-Advanced (5G-A) solutions while exploring innovative use cases for private networks to enhance connectivity and operational efficiency. Through shared insights and knowledge exchange, both organisations will promote leadership and collaborative learning, positioning themselves as responsible leaders in the industry while striving for net-zero emissions and inspiring further innovation.
Why does it matter?
The partnership emphasises the importance of creating opportunities for joint initiatives that enhance capabilities. By fostering a shared learning environment, both organisations can learn from each other’s successes and challenges, allowing for effective navigation of the rapidly evolving telecommunications landscape. Their joint efforts aim to bolster technological development and pave the way for a more connected and sustainable future.
The Indonesia Investment Authority (INA) and Singapore-based Granite Asia announced a joint plan to invest up to $1.2 billion in Indonesia’s technology sector and related businesses. According to a joint statement, the initiative will involve both equity and hybrid capital, though specific financial contributions from each firm and the timeline for investments remain undisclosed. Targeted companies were also not named.
INA, Indonesia‘s sovereign wealth fund, was established in 2020 to attract both domestic and international investors to the country. Last week, the fund announced that its toll road platform, with backing from Dutch pension fund APG and the Abu Dhabi Investment Authority, is funding parts of Indonesia’s Trans Sumatra Toll Road.
Granite Asia, formerly part of GGV Capital, currently manages assets totalling $5 billion. The collaboration is expected to support the growth of Indonesia’s tech landscape and strengthen economic ties within Southeast Asia.
Nvidia CEO Jensen Huang has urged South Korea’s SK Hynix to speed up the delivery of its next-generation HBM4 memory chips by six months, according to SK Group Chairman Chey Tae-won. Initially scheduled for the latter half of 2025, the HBM4 chips are in high demand as Nvidia’s GPUs require them for advancing AI technology. Nvidia, which holds a dominant share of the AI chip market, relies on SK Hynix’s high-bandwidth memory to support AI processing.
Facing growing competition from Samsung and Micron, SK Hynix is working to deliver its latest HBM3E chips this year, with plans to release improved 16-layer versions early next year. Samsung has also announced progress on a new supply deal and aims to roll out its HBM4 products by the second half of 2024.
Shares of SK Hynix surged 5.1% on the news, reflecting strong investor confidence in its strategic response to the booming demand for advanced memory technology.
United States energy regulators have rejected an amended plan for an Amazon data centre to be powered directly from Talen Energy’s Susquehanna nuclear plant in Pennsylvania. The Federal Energy Regulatory Commission (FERC) cited potential risks to both consumer costs and grid reliability, concluding that diverting power from the regional grid to Amazon’s facility could raise public energy bills and create supply challenges.
The proposal came as Big Tech companies like Amazon seek rapid ways to meet growing energy demands for data centres, particularly those needed to expand AI technologies. Co-locating data centres with power plants has emerged as an appealing solution, yet FERC Commissioner Mark Christie warned that this arrangement could bring complex repercussions, including significant impacts on reliability and costs.
FERC Chairman Willie Phillips, however, dissented, arguing that blocking the project could hinder US leadership in AI and harm national security. The decision leaves questions about funding and infrastructure upgrades necessary to ensure reliable supply to such high-demand centres.
