making cuts

Tesla plans to lay off 10 percent of workforce after dismal quarterly sales

The layoffs could affect about 14,000 of the 140,473 workers employed by the Austin, Texas, company at the end of last year. Photo courtesy of Tesla

After reporting dismal first-quarter sales, Tesla is planning to lay off about a tenth of its workforce as it tries to cut costs, multiple media outlets reported Monday.

CEO Elon Musk detailed the plans in a memo sent to employees. The layoffs could affect about 14,000 of the 140,473 workers employed by the Austin, Texas, company at the end of last year.

Musk's memo said that as Tesla prepares for its next phase of growth, “it is extremely important to look at every aspect of the company for cost reductions and increasing productivity,” The New York Times and CNBC reported. News of the layoffs was first reported by electric vehicle website Electrek.

Also Monday, two key Tesla executives announced on the social media platform X that they are leaving the company. Andrew Baglino, senior vice president of powertrain and energy engineering, wrote that he had made the decision to leave after 18 years with the company.

Rohan Patel, senior global director of public policy and business development, also wrote on X that he was leaving Tesla, after eight years.

Baglino, who held several top engineering jobs at the company and was chief technology officer, wrote that the decision to leave was difficult. “I loved tackling nearly every problem we solved as a team and feel gratified to have contributed to the mission of accelerating the transition to sustainable energy,” he wrote.

He has no concrete plans beyond spending more time with family and his young children, but wrote that he has difficulty staying still for long.

Musk thanked Baglino in a reply. “Few have contributed as much as you,” he wrote.

Shares of Tesla fell 4.8 percent Monday afternoon, hours after news of the layoffs and departures broke. Shares of Tesla Inc. have lost about one-third of their value so far this year as sales of electric vehicles soften.

Tesla sales fell sharply last quarter as competition increased worldwide, electric vehicle sales growth slowed, and price cuts failed to draw more buyers. The company said it delivered 386,810 vehicles from January through March, nearly 9 percent below the 423,000 it sold in the same quarter of last year.

Since last year, Tesla has cut prices as much as $20,000 on some models as it faced increasing competition and slowing demand. The price cuts caused used electric vehicle values to drop and clipped Tesla's profit margins.

The company has said it will reveal an autonomous robotaxi at an event in August.

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A View From HETI

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

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