As AI workloads move from training to real-world inference, Arrcus CEO says, network fabrics must evolve to keep up with the demands.

Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x ...

Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...

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 ...

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 ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference. LAS VEGAS — Not so long ago — last year, let’s say — tech industry ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

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 ...

As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, trusted systems. In partnership withHPE Training an AI model to predict ...

Abstract: The definition and key concepts of hybrid learning are introduced. The utilization of both continuous dynamics, used to train a collection of learning models, and discrete dynamics, used to ...

Enable users to specify a custom ONNX model file path as a command-line argument, overriding the default ONNX file that would otherwise be downloaded. cargo run ...