Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

7 Ways The Train Could Go Off The Track For Nvidia

Nvidia Corporation sits at the center of the AI trade, but “cheap” valuation signals may be a mirage amid bubble risks. Click ...
Edutopia

Just Like Phonics, Comprehension Requires Explicit Teaching

Once students can decode, they need ongoing and thoughtful instruction to understand, interpret, and engage with what they read.
theregister

This dev made a Llama with three inference engines

Developers looking to gain a better understanding of machine learning inference on local hardware can fire up a new llama engine. Software developer Leonardo Russo has released llama3pure, which ...
TechCrunch

Microsoft announces powerful new chip for AI inference

Microsoft has announced the launch of its latest chip, the Maia 200, which the company describes as a silicon workhorse designed for scaling AI inference. The 200, which follows the company’s Maia 100 ...
TechCrunch

Inference startup Inferact lands $150M to commercialize vLLM

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...
SDxCentral

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

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
Semiconductor Engineering

Four Architectural Opportunities for LLM Inference Hardware (Google)

“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 ...
ZDNet

Cloud-native computing is poised to explode, thanks to AI inference work

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...
InfoWorld

AI is all about inference now

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...
Computer Weekly

What are the storage requirements for AI training and inference?

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...