TI's integrated TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy ...

The MTIA processors are the tech giant’s latest attempt to build its own AI hardware, even as it continues spending billions on gear from industry leaders like Nvidia.

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

Put that old card to use!

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives ...

How a $20 billion bet turned Groq into Nvidia's inference spearhead Nvidia has put a price tag of about $20 billion on the idea that ultra fast, low latency inference is the next frontier of AI ...

Meta’s new generation of MTIA AI chips highlights how hyperscalers are redesigning the infrastructure stack, from silicon and interconnects to rack density, cooling, and ...

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 ...

With that, the AI industry is entering a “new and potentially much larger phase: AI inference,” explains an article on the Morgan Stanley blog. They characterize this phase by widespread AI model ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When OpenAI’s ChatGPT first exploded onto the scene in late 2022, it sparked a global obsession ...

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 ...