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AI Inference Company d-Matrix Announces Collaboration with Microsoft

SANTA CLARA – Today, d-Matrix, a AI-compute and inference company, announced a collaboration with Microsoft using its low-code reinforcement learning (RL) platform, Project Bonsai, to enable an AI-trained compiler for d-Matrix’s  digital in-memory compute (DIMC) products. The Project Bonsai platform accelerates time-to-value, with a product-ready solution designed to cut down on development efforts using an […]

MLCommons: Latest MLPerf AI Benchmark Results Show Machine Learning Inference Advances

SAN FRANCISCO – September 8, 2022 – Today, the open engineering consortium MLCommons announced results from MLPerf Inference v2.1, which analyzes the performance of inference — the application of a trained machine learning model to new data. Inference allows for the intelligent enhancement of a vast array of applications and systems. Here are the results and […]

Improving AI Inference Performance with GPU Acceleration in Aerospace and Defense

The aerospace/defense industry often must solve mission-critical problems as they arise while also planning and designing for the rigors of future workloads. Technology advancements let aerospace/defense agencies gain the benefits of AI, but it’s essential to understand these advancements and the infrastructure requirements for AI training and inference.

Untether AI Unveils At-Memory Compute Architecture at Hot Chips

PALO ALTO — Untether AI, an at-memory computation company for artificial intelligence (AI) workloads, today announced at the HOT CHIPS 2022 conference its next-generation architecture for accelerating AI inference workloads called speedAI devices, with an internal codename “Boqueria.” At 30 TeraFlops per watt (TFlops/W) and 2 PetaFlops of performance, the speedAI architecture sets a new […]

IBM and NeuReality in AI Inference Platforms Partnership

Nov. 2, 2021 — IBM (NYSE: IBM) and NeuReality, an Israeli AI systems and semiconductor company, said they will develop high-performance AI inference platforms designed to deliver cost and power consumption improvements for deep learning. The platforms will be built for such sectors as finance, insurance, healthcare, manufacturing, and smart cities to deploy computer vision, natural language […]