The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

Memory startup d-Matrix is claiming its 3D stacked memory will be up to 10x faster and run at up to 10x greater speeds than HBM. d-Matrix's 3D digital in-memory compute (3DIMC) technology is the ...

ATLANTA--(BUSINESS WIRE)--d-Matrix today officially launched Corsair™, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair ...

The global Processing in-memory AI Chips market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.

On April 28, 2026, a chip startup called Majestic Labs unveiled Prometheus, a new AI server it says was designed from the ...

In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better ...

HOD HASHARON, Israel, March 05, 2026 (GLOBE NEWSWIRE) -- Weebit Nano Limited (ASX:WBT ) (Weebit or Company ), a leading developer and licensor of advanced memory technologies for the global ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...