FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...
Meta Platforms on Wednesday unveiled a roadmap of four new chips that the company is making in-house, as it rapidly expands its data centers. Like many big tech companies such as Alphabet and ...
Admittedly it's an oversimplified description, but the economics of AI inference at scale are deceptively simple. The more ...
The result in our view is a new vision where distributed, “mini AI factories” operate (often indoors) at the enterprise edge. We believe this demands an entirely new platform model that we call it the ...
That left the humble CPU (central processing unit), which powers virtually everything else in data centers, and thus the ...
On the eve of the Lunar New Year, as brushstrokes bled into galloping ink horses and flower spirits appeared to breathe beneath the stage lights, China’s most-watched television event crossed a ...
Much of the conversation around AI today is focused on building cloud capacity and massive data centers to run models. Companies like Apple and Qualcomm are in the early stages of making on-device AI ...
On Thursday, OpenAI released its first production AI model to run on non-Nvidia hardware, deploying the new GPT-5.3-Codex-Spark coding model on chips from Cerebras. The model delivers code at more ...
A new technical paper titled “Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs” was published by researcher at Intel. “The advent of ultra-low-bit LLM models (1/1.58/2-bit), which match ...
“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...
Something to look forward to: The reports that Nvidia was to unveil DLSS 4.5 with 6x dynamic frame generation at CES have proved accurate. The company says that the update to its suite of AI-powered ...
ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
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