SAN JOSE, Calif., Oct. 13, 2025 (GLOBE NEWSWIRE) -- Astera Labs, Inc. (Nasdaq: ALAB), a leader in semiconductor-based connectivity solutions for rack-scale AI infrastructure, today announced from the 2025 OCP Global Summit comprehensive ecosystem collaborations that demonstrate growing industry momentum around open standards for AI Infrastructure 2.0—where entire racks function as unified compu...
SAN JOSE, Calif.--(BUSINESS WIRE)-- #Insyde--OCP GLOBAL SUMMIT – Insyde® Software, a leading provider of UEFI firmware and OpenBMC-based systems management solutions, today announced its support for Astera Labs' newly unveiled Open Rack Architecture for AI Infrastructure 2.0 with its OpenBMC product, Supervyse® OPF. As AI workloads scale beyond traditional server boundaries, the industry is rap...
The global artificial intelligence (AI) infrastructure isn't built only with cutting-edge chips or advanced software. It also depends on fast and low-latency networking infrastructure to connect thousands of components inside modern data centers.
SANTA CLARA, Calif., Oct. 07, 2025 (GLOBE NEWSWIRE) -- Astera Labs, Inc. (Nasdaq: ALAB), a leader in semiconductor-based connectivity solutions for rack-scale AI infrastructure, today announced that it will release its financial results for the third quarter 2025 after the close of market on Tuesday, Nov. 4, 2025.
Artificial intelligence (AI) has taken the world by storm, and Nvidia has positioned itself as the backbone of this revolution. The company's AI-optimized GPUs are in high demand, and this trend shows no signs of slowing as enterprises and hyperscalers continue to scale their AI infrastructure.
Astera Labs believes its connectivity solutions will be vital in enabling AI infrastructure 2.0. Its limited financial track record makes analyzing the company's valuation challenging. Much of the company's future revenue growth depends on capturing market share in Smart Fabric Switches.
Astera Labs Stock: The hot AI chip stock surged past its latest buy point and into new highs this past week.
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