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 ...
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 ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

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

NVIDIA Boosts LLM Inference Performance With New TensorRT-LLM Software Library

NVIDIA Boosts LLM Inference Performance With New TensorRT-LLM Software Library Your email has been sent As companies like d-Matrix squeeze into the lucrative artificial intelligence market with ...
SiliconANGLE

Nvidia claims first place in MLCommon’s first benchmarks for LLM inference, but Intel is a close second

MLCommons, the open engineering consortium for benchmarking the performance of chipsets for artificial intelligence, today unveiled the results of a new test that’s geared to determine how quickly ...
ExtremeTech

Nvidia Claims to Double LLM Inference Performance on H100 With New Software

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Nvidia says it's more than doubled the DGX Spark’s performance since launch

Nvidia's DGX Spark and its GB10-based siblings are getting a major performance bump with the platform's latest software ...
Semiconductor Engineering

Pooling CPU Memory for LLM Inference With Lower Latency and Higher Throughput (UC Berkeley)

“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...
XDA Developers on MSN

Docker Model Runner makes running local LLMs easier than setting up a Minecraft server

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...
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.