DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Tech Xplore on MSN

Turning PCs and mobile devices into AI infrastructure can slash operational costs

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
Digi Times

Xiaomi intensifies LLM investment with GPU cluster

Xiaomi is reportedly in the process of constructing a massive GPU cluster to significantly invest in artificial intelligence (AI) large language models (LLMs). According to a source cited by Jiemian ...
VentureBeat

ScaleOps' new AI Infra Product slashes GPU costs for self-hosted enterprise LLMs by 50% for early adopters

ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra ...
TweakTown

Dell PowerEdge XE9712: NVIDIA GB200 NVL72-based AI GPU cluster for LLM training, inference

Dell has just unleashed its new PowerEdge XE9712 with NVIDIA GB200 NVL72 AI servers, with 30x faster real-time LLM performance over the H100 AI GPU. Dell Technologies' new AI Factory with NVIDIA sees ...
Geeky Gadgets

Setting up a custom AI large language model (LLM) GPU server to sell

Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical.