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Judge lacked power to overturn ex-soldier Bowe Bergdahl's military conviction, appeals court rules

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Judge lacked power to overturn ex-soldier Bowe Bergdahl's military conviction, appeals court rules
News

News

Judge lacked power to overturn ex-soldier Bowe Bergdahl's military conviction, appeals court rules

2026-09-02 23:24 Last Updated At:23:30

WASHINGTON (AP) — A federal judge had no authority to overturn former U.S. Army soldier Bowe Bergdahl's military conviction for deserting his post in Afghanistan before Taliban-allied forces abducted him and held him captive for nearly five years, an appeals court has ruled.

A three-judge panel from the U.S. Court of Appeals for the District of Columbia Circuit on Tuesday ordered the dismissal of Bergdahl's claims in district court. The panel said District Judge Reggie Walton in Washington lacked the jurisdiction to vacate Bergdahl’s court-martial conviction and sentence in 2023.

Bergdahl had sued in 2021, arguing that the punishment violated his Fifth Amendment due-process rights. Walton ruled that military judge Jeffrey Nance created a potential conflict of interest by failing to disclose his application for a position as an immigration judge in the Justice Department.

But the appeals court concluded that only military tribunals have the authority to vacate a court-martial judgment.

“Bergdahl’s claim thus conflicts with that longstanding limitation,” Circuit Judge Robert Wilkins wrote.

Chief Judge Sri Srinivasan and Circuit Judge Gregory Katsas also heard the appeal in Bergdahl's case. Srinivasan and Wilkins were nominated by Democratic President Barack Obama. Katsas was nominated by Republican President Donald Trump.

Eugene Fidell, one of Bergdahl’s lawyers, said they were weighing their legal options after Tuesday's decision.

“We’re certainly disappointed. It’s an important case that raises serious issues,” Fidell said. "The case has lasted a long time, but we are closely examining the available alternatives.”

Bergdahl, then a 23-year-old soldier from Hailey, Idaho, was stationed near Afghanistan's Paktika Province in June 2009 when he left his post without permission to hike to headquarters to complain about what he viewed as poor leadership in his unit.

Bergdahl was captured by forces from the Taliban-affiliated Haqqani network and repeatedly tortured before his release from captivity in 2014 as part of a prisoner swap that was sharply criticized by Trump and others while he was running for his first term as president.

Several U.S. service members were wounded during the search for Bergdahl, who was charged with desertion and misbehavior before the enemy after his release from captivity. He pleaded guilty to both charges in 2017 and was dishonorably discharged. Prosecutors at his court-martial had sought 14 years in prison.

FILE - Army Sgt. Bowe Bergdahl leaves the Fort Bragg courtroom facility as the judge deliberates during a sentencing hearing at Fort Bragg, N.C., Nov. 3, 2017. (AP Photo/Gerry Broome, File)

FILE - Army Sgt. Bowe Bergdahl leaves the Fort Bragg courtroom facility as the judge deliberates during a sentencing hearing at Fort Bragg, N.C., Nov. 3, 2017. (AP Photo/Gerry Broome, File)

FILE - Army Sgt. Bowe Bergdahl arrives for a pretrial hearing at Fort Bragg, N.C., Jan. 12, 2016. (AP Photo/Ted Richardson, File)

FILE - Army Sgt. Bowe Bergdahl arrives for a pretrial hearing at Fort Bragg, N.C., Jan. 12, 2016. (AP Photo/Ted Richardson, File)

FREMONT, Calif.--(BUSINESS WIRE)--Sep 2, 2026--

Penguin Solutions, Inc. (Nasdaq: PENG ), the AI Factory Platform Company, today announced its participation at AI Infra Summit 2026, taking place September 15-17 at the Santa Clara Convention Center. Penguin will host product demonstrations at booth #520 and deliver a speaking session during the conference program.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260902089391/en/

The AI Infra Summit brings together industry professionals who represent every layer of the AI infrastructure stack including compute, memory, interconnects, networking layers, and more working together to meet the growing demand of inference and agentic AI.

As enterprises shift from AI training to inference and agentic workloads, the speed and accuracy with which they can access data increasingly determines the cost of running those workloads. Penguin is addressing that constraint through its Full-Stack AI Factory Platform, including its MemoryAI KV Cache Server designed to improve performance for large language model inference and helps organizations achieve measurable ROI.

Event Information:

Speaking Session:

Technology Demonstrations:

Penguin will display several demonstrations at its booth #520 that will give participants a firsthand view of its innovative AI solutions.

MemoryAI is a registered trademark of Penguin Solutions, Inc. All other trademarks are the property of their respective owners.

About Penguin Solutions

Penguin Solutions is the AI Factory Platform Company. We design, build, and manage next-generation data centers for enterprises, sovereign AI initiatives, and neocloud providers.

With deep design expertise at the intersection of data center AI infrastructure and memory solutions, our Full-Stack AI Factory Platform combines differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner technologies to help customers accelerate deployment, optimize token economics, and maximize the return on their AI investments.

Learn more at PenguinSolutions.com.

Penguin Solutions MemoryAI KV cache server utilizes CXL memory technology to address the critical "memory wall" challenge in AI inferencing. The innovative solution delivers up to 11 TB of CXL-based memory engineered to optimize performance of enterprise scale inference, including agentic AI.

Penguin Solutions MemoryAI KV cache server utilizes CXL memory technology to address the critical "memory wall" challenge in AI inferencing. The innovative solution delivers up to 11 TB of CXL-based memory engineered to optimize performance of enterprise scale inference, including agentic AI.

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