Token price
Token price on Beyond Market Intelligence: a running collection of 4 stories we have gathered and hand-picked because they are worth your time. Every post here touches on token price in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around token price, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Presentation: Producing the World's Cheapest Tokens: A How-to Guide
Meryem Arik’s presentation, "Producing the World's Cheapest Tokens: A How-to Guide," offers actionable strategies for dramatically reducing costs in LLM inference. Designed for software architects and engineering leaders, Arik explores critical trade-offs across hardware, runtimes, and decoding techniques to achieve order-of-magnitude savings in high-volume, non-real-time workloads. Discover how smart queue reordering and other innovations can transform your data management approach. For further exploration of AI governance, see our recent article, "IBM and Red Hat Expand Lightwell."
AI startup Hark unveils first product: an affordable, fast computer use agent Hark Handoff
Hark, a new AI startup founded by serial entrepreneur Brett Adcock, introduces Handoff, a computer use agent (CUA) poised to transform how we interact with the open web. Achieving a leading 97.7 score on the Online-Mind2Web benchmark—outperforming models like GPT-5.4 and Claude Opus 4.8—Handoff offers autonomous task completion, from online ordering to candidate outreach. With significantly lower operational costs, Hark empowers users to explore a future where AI handles routine digital tasks. Sign-ups are open now at hark.
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
Enterprises are rapidly accelerating investment in AI infrastructure, yet a significant "compute gap" exists – heavy spending outpacing the ability to truly understand and control its economics. New VentureBeat Pulse Research, surveying 107 organizations, reveals that while only 21% run AI at scale, nearly half intend to evaluate specialized AI clouds within the year, often lacking clear visibility into GPU utilization (83% below 50%) and compute costs.
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
Enterprises are accelerating AI infrastructure spending, yet visibility into its economics lags significantly—a phenomenon we've termed the "compute gap." Across 107 organizations, intentions to evaluate specialized AI clouds are surging, even as existing GPUs sit at half utilization or less, and fewer than half rigorously track compute costs. This reveals a disconnect: organizations are buying more infrastructure faster than they can account for what they already own, signaling a shift away from traditional hyperscalers.