45k user reviews & 1 million votes, over 29k web hosting brands & 85k plans since 2004!
Menu
WHTop → 📋 News → Quantum AI Won’t Reach Enterprise Scale by 2028, Says Gartner
Quantum AI Won’t Reach Enterprise Scale by 2028, Says Gartner
📅 - Gartner has warned enterprises not to expect production AI workloads to run on quantum hardware through 2028, arguing that classical accelerated computing will retain every meaningful benchmark advantage. The research firm says no peer-reviewed evidence yet shows quantum advantage for real-world AI, sharpening scrutiny of vendor claims and board-level spending on immature infrastructure programs over coming years.
The assessment lands amid growing pressure on technology leaders to show they are preparing for quantum computing without allowing speculative research to consume budgets already committed to generative AI, cloud modernization, cybersecurity, and data center expansion. Gartner's [...][... Check source for end of article ...]
📅 - AMD Doubles Data Center Revenue as AI Spending Accelerates - AMD reported record second-quarter revenue of $11.5 billion as its data center business more than doubled from a year earlier, reinforcing how hyperscale cloud expansion and AI infrastructure spending continue reshaping the semiconductor industry. The company's server processors and AI accelerators now account for most revenue, underscoring an increasingly enterprise-driven business as demand broadens across major operators globally.
For infrastructure buyers, the quarterly numbers matter because they reinforce a shift that has been building for more than two years. AMD is no longer primarily measured against the consumer PC cycle. The company's financial performance is increasingly tied [...]
📅 - Ordway Lands $20M to Expand AI Across Enterprise Billing Ops - Ordway has raised $20 million in equity and debt financing to expand its AI-driven billing and revenue software, targeting cloud providers, hosting companies, and infrastructure operators grappling with more complicated usage-based pricing. Harbert Growth Partners led the round, with debt from Western Alliance Bank, as Ordway reports doubled recurring revenue, continued profitability, and larger enterprise contracts globally.
Selling compute capacity used to be relatively predictable. Monthly subscriptions, reserved capacity, perhaps a few overage charges. AI has disrupted that equation. Cloud providers, managed hosting companies, GPU infrastructure operators, and SaaS vendors are [...]
📅 - Netskope One DataSec Command Center Released to Unify Data Security - Netskope, a global cloud security vendor that sells exclusively through channel partners, is introducing a centralized data security control plane spanning AI services, cloud platforms, endpoints, email, networks, and on-premises environments. The company says fragmented tooling has become harder to manage as enterprise AI adoption accelerates and sensitive information moves across far more systems.
The announcement reflects a broader shift underway in enterprise security. Organizations spent years deploying specialized products for cloud access, data loss prevention, SaaS governance, endpoint protection, and data security posture management. Each solved a particular problem. [...]
📅 - Tencent Broadens Enterprise Access to Hy3 Worldwide - Tencent is widening international access to its Hy3 large language model, extending availability through Tencent Cloud services, developer platforms, and enterprise applications as cloud providers increasingly compete on complete AI infrastructure rather than standalone models. The expansion reflects a broader race to tie foundation models directly to cloud ecosystems, developer workflows, and enterprise software at global scale today.
Another frontier model has entered the global market. That, by itself, is no longer unusual. The more interesting development is where Tencent wants Hy3 to live.
Tencent is positioning the model inside a cloud platform, not beside it. Developers can reach [...]
📅 - Samsung Maps New Direction for AI Data Center Memory - Samsung used the Future of Memory and Storage conference to argue that AI infrastructure faces a new bottleneck beyond GPUs, unveiling next-generation 3D memory concepts and storage technologies aimed at future data centers. The proposals focus on memory architecture, rack efficiency, and data movement as hyperscale operators confront escalating AI infrastructure costs, power demands, and thermal constraints worldwide.
For most of the AI boom, the conversation has revolved around accelerators. Nvidia's GPUs. AMD's Instinct portfolio. Custom silicon from hyperscalers. The assumption has been straightforward: more compute equals better AI.
