Nvidia's $20 billion Groq acquisition shows the AI industry moving from training to inference, with speed and efficiency now ...

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 ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

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 ...

After raising $750 million in new funding, Groq Inc. is carving out a space for itself in the artificial intelligence inference ecosystem. Groq started out developing AI inference chips and has ...

Artificial intelligence demands are forcing companies to rethink chip design from the ground up. As organizations grapple with the exorbitant costs of high-bandwidth memory required for modern ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...