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Peter Hess

Verified
New York
As seen in: MSN, MSN Canada, MSN Ireland, MSN Malaysia, MSN Money Canada, MSN Singapore, MSN UK, Business Insider, Color Research & Application, Daily Mail and
science journalist // views my own // inactive on here, find me on the other site if you'd like
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Articles

How llm-d makes the most of the hardware you already have

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By Peter Hess Verified
| ibm.com
As AI agents become more capable, they are placing new demands on inference infrastructure. Unlike traditional chatbots, agentic systems like coding assistants repeatedly process massive contexts, reuse information across many interactions, and recruit parallel sub-agents that generate unpredictable bursts of activity. These workloads are dominated by reading and managing context rather than generating text, creating challenges for latency, memory, throughput, and cost.
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From vision to reality: a unified neural solver for the power grid

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By Peter Hess Verified
| ibm.com
The electric grid has never mattered more — or faced more pressure. As transportation, buildings, and industry electrify, ever more of modern life runs through the same network of wires. At the same time, the grid is being reshaped from both ends. On the supply side, decentralization is accelerating.
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CoFrGeNets replace the ‘bones’ of transformer-based models

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By Peter Hess Verified
| ibm.com
Popular transformer-based AI models, such as GPT, Gemini, Claude, and Llama, have become the standard for natural language processing, thanks to their powerful classification and language generation capabilities. Models like these rely heavily on multi-head attention mechanisms and feed-forward networks, which consist of a large number of parameters that consume substantial computational resources.
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