Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over ...
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
Tech Xplore on MSN
Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
XDA Developers on MSN
I'm running a 120B local LLM on 24GB of VRAM, and now it powers my smart home
Paired with Whisper for quick voice to text transcription, we can transcribe text, ship the transcription to our local LLM, ...
NVIDIA introduces NVFP4 KV cache, optimizing inference by reducing memory footprint and compute cost, enhancing performance on Blackwell GPUs with minimal accuracy loss. In a significant development ...
KYOTO, Japan--(BUSINESS WIRE)--Murata Manufacturing Co., Ltd. (TOKYO: 6981) (ISIN: JP3914400001) announces the launch and mass production of its multilayer ceramic capacitor (MLCC) featuring a ...
Memory shortage could delay AI projects, productivity gains SK Hynix predicts memory shortage to last through late 2027 Smartphone makers warn of price rises due to soaring memory costs Dec 3 (Reuters ...
Murata Manufacturing Co., Ltd. (TOKYO: 6981) (ISIN: JP3914400001) announces the launch and mass production of its multilayer ceramic capacitor (MLCC) featuring a capacitance of 15nF, a rated voltage ...
The kvcached team reports 1.2 times to 28 times faster time to first token in multi model serving, due to immediate reuse of freed pages and the removal of large static allocations. These numbers come ...
With the AI infrastructure push reaching staggering proportions, there’s more pressure than ever to squeeze as much inference as possible out of the GPUs they have. And for researchers with expertise ...
The MarketWatch News Department was not involved in the creation of this content. XConn Technologies and MemVerge Demonstrate CXL Memory Pool for KV Cache using NVIDIA Dynamo for breakthrough AI ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results