Jonathan Anthony
Latest from Jonathan Anthony
Enterprise AI infrastructure providers are turning to multi-tenancy paired with upstream data protection to convert idle GPU capacity into secure, token-metered services that enterprises will actually adopt at scale. That tension is pushing infrastructure providers toward a model that treats utilization and …
How a scalable intelligence layer turns enterprise data into production A
Enterprises are discovering that a scalable intelligence layer built on knowledge graphs delivers the institutional context that turns generic AI models into reliable production systems. As companies push AI from pilots into production, a new software layer is emerging to link structured, …
AI is reshaping biotech from discovery to clinical success: 9 Insights from the cutting edge
AI is rapidly moving from the edges of biotech into its core, reshaping how companies discover, design and de-risk new medicines. After years of investment and impressive laboratory breakthroughs, the industry is now focused on what it takes to turn computational power …
As agentic AI inference surges, tokenomics becomes the enterprise’s defining budget constraint
The transition from chatbots to autonomous agents is changing the shape of demand itself, and tokenomics — the economics of AI token consumption — is emerging as the defining constraint on enterprise budgets as round-the-clock inference replaces intermittent usage. Fewer than 1% …
Open co-design networking underpins AMD’s Helios strategy at scale
AI infrastructure is undergoing a fundamental shift as the unit of deployment moves from the server rack to the entire data center, making open co-design networking a first-class design priority rather than an afterthought. That reordering was on full display this week …
Agentic AI compute reshapes cloud economics as AMD targets surging CPU demand
Agentic AI compute has become the defining workload of the cloud’s next era, reshaping how hyperscalers, neoclouds and enterprises architect their infrastructure. As autonomous agents move into production, demand for both GPUs and high-core-count CPUs is surging — and the economics of …
AI infrastructure buildout reshapes the enterprise stack from silicon to systems
The AI infrastructure buildout has become the defining story of the enterprise technology cycle, pushing compute, storage, networking and data into a wholesale redesign. As organizations chase instant time to value, the economics of tokens and the pressure to modernize aging data …
Together AI positions open-weight AI models as the enterprise moat for cost, control and IP
Enterprises racing to deploy AI at scale are discovering that the biggest constraint isn’t model capability anymore — it’s control. As agentic AI moves from experimentation into core business processes, companies are rethinking whether handing proprietary data to closed frontier models is …
Cerebras Systems positions inference speed as the defining edge in AI infrastructure
The race to build the fastest AI infrastructure is reshaping the semiconductor industry, with inference speed emerging as the defining competitive dimension of the AI era. As AI model wars intensify across OpenAI, Anthropic and Google, the underlying compute layer is under …
10 insights from the Machina AI Summit: Physical AI moves from demos to deployment
Physical AI and robotics are moving beyond impressive demonstrations into a new phase of practical deployment, with companies now targeting specific, high-value use cases in manufacturing and logistics — production-ready systems capable of delivering measurable ROI. After years of research breakthroughs and …