The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed ...
Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook ByteDance to exit gaming sector by closing down Nuverse Credit: ByteDance ByteDance’s Doubao Large ...
Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...
Big AI models no longer need supercomputers. How everyday laptops & mini-PCs can run and fine-tune them faster, cheaper, and ...
Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score We analyzed 203 ...
Cerebras Systems upgrades its inference service with record performance for Meta’s largest LLM model
Cerebras Systems Inc., an ambitious artificial intelligence computing startup and rival chipmaker to Nvidia Corp., said today that its cloud-based AI large language model inference service can run ...
A new technical paper titled “Scaling On-Device GPU Inference for Large Generative Models” was published by researchers at Google and Meta Platforms. “Driven by the advancements in generative AI, ...
Despite major methodological developments, Bayesian inference in Gaussian graphical models remains challenging in high dimension due to the tremendous size of the model space. This article proposes a ...
AMD's chiplet architecture and MI300X GPU give it a structural edge in AI hardware, especially for inference and memory-intensive tasks. The Xilinx acquisition positions AMD as a leader in edge AI and ...
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