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 ...
Geeky Gadgets

LLMWare unified framework for developing LLM apps with RAG

– High-performance document parsers to rapidly ingest, text chunk and ingest common document types. – Comprehensive intuitive querying methods: semantic, text, and hybrid retrieval with integrated ...
SDxCentral

Nvidia claims new software library doubles LLM inference speed on H100 GPU

Nvidia plans to release an open-source software library that it claims will double the speed of inferencing large language models (LLMs) on its H100 GPUs. TensorRT-LLM will be integrated into Nvidia's ...
CRN

Nvidia Says New Software Will Double LLM Inference Speed On H100 GPU

The AI chip giant says the open-source software library, TensorRT-LLM, will double the H100’s performance for running inference on leading large language models when it comes out next month. Nvidia ...
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.
InfoWorld

Surveying the LLM application framework landscape

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...
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 ...