The Current And Future Path To AI Inference Data Center Optimization
While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power.
Trust Your Gut Or The Data? AI And Decision Making
For entrepreneurs facing an era of vast data and unending change, the choice isn’t binary between your gut and the data.
Impacts10d
Revolutionizing Data Processing: Human-AI Collaboration at the Edge
In this digital era, integrating human intelligence with artificial intelligence (AI) at the edge revolutionizes data ...
AI and power requires give before take
Not surprisingly, the parallel processing architecture that makes GPUs excel at training AI requires an immense amount of ...
How mobile AI will redefine the workplace in 2025
Cloud-based AI services including ChatGPT have received plenty of attention thanks to their incredible computing power, but ...
CIO21h
3 key areas where AI is transforming insurance today
The insurance industry is already capitalizing on its ability to parse vast databases of structured and unstructured data to surface meaningful information.
The Next Platform1d
How Did DeepSeek Train Its AI Model On A Lot Less – And Crippled – Hardware?
Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing ...
Computer Weekly7d
Samsung unpacks Galaxy AI’s personal data engine
The headlines are the Galaxy S25 line-up, but the hardware is powered by Samsung's ambition to develop an AI ecosystem ...
Nvidia stock: China's DeepSeek AI model shocks the world. Should you sell?
DeepSeek stunned the tech world with the release of its R1 "reasoning" model, matching or exceeding OpenAI's reasoning model ...