TOPS of inference grunt, 8 GB onboard memory, and the nagging question: who exactly needs this? Raspberry Pi has launched the AI HAT+ 2 with 8 GB of onboard RAM and the Hailo-10H neural network ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

Quadric®, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding ...

Forged in collaboration with founding contributors CoreWeave, Google Cloud, IBM Research and NVIDIA and joined by industry leaders AMD, Cisco, Hugging Face, Intel, Lambda and Mistral AI and university ...

A research article by Horace He and the Thinking Machines Lab (X-OpenAI CTO Mira Murati founded) addresses a long-standing issue in large language models (LLMs). Even with greedy decoding bu setting ...

CES used to be all about consumer electronics, TVs, smartphones, tablets, PCs, and – over the last few years – automobiles.

A new technical paper titled “PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration” was published by researchers at the ...

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

Nvidia has been able to increase Blackwell GPU performance by up to 2.8x per GPU in a period of just three short months.

San Sebastian, Spain – June 12, 2025: Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while ...