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FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching ...

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There are several different costs associated with running AI, one of the ...

AI infrastructure is undergoing somewhat of an evolution, with the shift from training to inference meaning computational ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large ...

Google Cloud's recent enhancement to its serverless platform, Cloud Run, with the addition of NVIDIA L4 GPU support, is a significant advancement for AI developers. This move, which is still in ...

Artificial intelligence startup Runware Ltd. wants to make high-performance inference accessible to every company and application developer after raising $50 million in Series A funding. It’s backed ...

The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

There's a persistent narrative that running AI is a power-hungry endeavor. You've probably seen the headlines about data centers consuming as much electricity as small cities, or about how training a ...

The AI chip giant says the open-source software library, TensorRT-LLM, will double the H100’s performance for running inference on leading large language models when it comes out next month. Nvidia ...