Design Management

Inference 2.0: How enterprise AI is reshaping AI system architectures

by

Predictive, generative, and agentic AI are not successive generations. They coexist inside enterprise systems, each placing fundamentally different demands on the underlying compute infrastructure. The enterprise context layer A consumer chatbot relies primarily on pretraining weight memory and optional web search. An enterprise system must operate against information absent from pretraining: engineering specifications, financial ledgers, … Read more

MLPerf and the rise of latency-aware LLM benchmarking

by

Any discussion of modern AI system performance must include MLCommons and its MLPerf benchmark suite, which has become the industry’s de facto standard for measuring machine learning performance. Since its debut in 2018, MLPerf has provided a neutral, peer-reviewed framework for comparing hardware and software platforms across a broad range of AI workloads. The original … Read more