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WHTop → 📋 News → AMD Acquires Taalas to Deepen AI Inference Hardware Strategy
AMD Acquires Taalas to Deepen AI Inference Hardware Strategy
📅 - AMD is expanding its AI hardware portfolio through the acquisition of Toronto startup Taalas, adding a specialized inference chip architecture as competition shifts away from training ever-larger models toward running them efficiently at production scale. Financial terms were not disclosed, and the transaction remains subject to regulatory approval and customary closing conditions before completion for both companies.
Inference has quietly become one of the semiconductor industry's most contested battlegrounds. Training still captures attention, but enterprises deploying AI across customer support, industrial automation, software development, and search increasingly care about cost per [...][... Check source for end of article ...]
📅 - Email Deliverability on a Dedicated Server: Why Your IP Reputation Matters More Than You Think - FOR IMMEDIATE RELEASELONDON, UK – eServers, a leading provider of premium dedicated hosting and infrastructure solutions, has published a comprehensive industry advisory addressing a silent but critical issue affecting modern businesses: email deliverability and the hidden dangers of shared IP reputation.
The newly released guide, titled "Email Deliverability and Dedicated Server IP Reputation," details why organizations experience sudden drops in inbox placement, even when following strict email marketing guidelines. The advisory highlights that mailbox providers—such as Gmail, Outlook, and Yahoo—prioritize the historical behavior of the sending IP add
According to a recent security publication by GTZHost, businesses are actively migrating away from shared cloud environments back to Enterprise Bare Metal Servers. The primary driver is absolute control and the elimination of the "Noisy Neighbor" effect, where an attack on one cloud tenant degrades the performance of others on the same physical node.Security Through Isolation and Edge Mitigation To comb
According to the report, matching the chip architecture to the specific workload is critical for budget and performance efficiency:NVIDIA H100: Built on the Hopper architecture, this remains the gold standard for massive-scale LLM training. NVIDIA L40S: Highlighted as the rapidly trending specialist for Generative AI and Omniverse 3D rendering, offering a cost-effective
📅 - Europe's AI Data Center Growth Shifts Beyond Traditional Hubs - Europe's largest data center markets continue expanding despite worsening grid constraints, rising land costs, and increasingly restrictive planning regimes, with FLAP-D capacity approaching 3.8 GW as operators redirect AI infrastructure investment toward secondary locations. New research from JLL suggests power availability, rather than geography alone, is increasingly determining where hyperscale deployments can realistically proceed across Europe today.
The numbers remain striking even as market conditions become less predictable. Aggregate live capacity across Frankfurt, London, Amsterdam, Paris, and Dublin has nearly tripled since 2020, while another 2 GW is planned and 1.4 GW [...]
📅 - Zayo Expands Fiber Infrastructure for AI with NVIDIA - Zayo is accelerating a major long-haul fiber expansion across North America after securing closer alignment with NVIDIA, underscoring a growing industry concern that AI infrastructure is increasingly constrained by network capacity rather than computing hardware alone. The project targets emerging AI corridors, reflecting changing deployment patterns beyond established data center markets and traditional connectivity hubs nationwide.
For much of the AI investment cycle, attention has centered on GPUs, power availability, and the race to secure enough data center space. Networking has largely remained in the background. That is becoming harder to justify. Massive AI clusters increasingly [...]
📅 - Trump Says Data Centers Could Rival Oil in Economic Importance - US President Donald Trump is casting data centers as a strategic industry on the scale of oil, arguing that US competitiveness in artificial intelligence and cryptocurrency now depends on expanding domestic computing and energy capacity. In an interview with Punchbowl News, Trump also warned that China could gain an advantage if American infrastructure investment slows as Beijing accelerates.
Trump's remarks, made during an interview with Punchbowl News, reinforce an increasingly familiar narrative inside Washington: compute capacity has become a geopolitical asset. The conversation is no longer confined to semiconductor manufacturing or advanced GPUs. Electricity generation, transmission [...]
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