DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
Computing

DeepSeek claims new technique boosts LLM serving efficiency by up to 85%

DeepSeek has documented a new inference acceleration framework that it claims increases the efficiency of how LLMs are run.

DeepSeek's DSpark just made Nvidia's most important new bet harder to close

DeepSeek just released DSpark, an inference module that makes its AI models 60% to 85% faster without new hardware. Nvidia is ...
Virtualization Review

AI on a Raspberry Pi: Part 3 -- Testing Different LLMs

TinyLlama delivered the strongest responsiveness on the Pi, making it the most usable option for lightweight local inference. DeepSeek-R1 produced richer reasoning output but incurred much longer ...
DIGITIMES

DeepSeek V4 introduces utility-style AI pricing in shift beyond China's LLM price war

DeepSeek will launch the official version of its V4 large language model (LLM) in mid-July alongside peak and off-peak API ...
Tech Times

DeepSeek V4 Architecture: How Sparse Attention Cuts Inference Costs, What NIST Found

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...
Hosted on MSN

DeepSeek unveils its newest model at rock-bottom prices and with full support from Huawei chips

Chinese AI company DeepSeek has unveiled its long-awaited V4 model. On Friday, the Hangzhou-based startup released its newest large language model in a preview capacity. The release comes over a year ...
MIT Technology Review

Three reasons why DeepSeek’s new model matters

The long-awaited V4 is more efficient and a win for Chinese chipmakers. On April 24, Chinese AI firm DeepSeek released a preview of V4, its long-awaited new flagship model. The model can process much ...