
NVIDIA, Microsoft Debut RTX Spark Platform for Agentic AI PCs
NVIDIA has unveiled the RTX Spark, a new Arm-based chip […]
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AMD continued to nibble away at Intel market share in the first quarter of 2026 with some bigger bites than usual, particularly on the server side, where it made considerable inroads year over year. The Q1 2026 numbers from Mercury Research, a market research firm specializing in semiconductor sales, found that Intel’s overall share of […]
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NVIDIA has unveiled the RTX Spark, a new Arm-based chip […]
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Amazon Web Services (AWS) has secured a $6 billion, five-year […]

China has been working to circumvent the highly restrictive sanctions […]

Networks are handling heavier AI-related traffic and rising demand for multi-gigabit connectivity, and Broadcom has released a new set of chips for fiber gateways, Wi-Fi 8 routers, and fixed wireless access systems that support this higher-capacity data transfer. The company introduced a new 50G passive optical networking (PON) gateway system-on-chip, the BCM68850,

Leads Futurum's Semiconductors Practice covering edge AI, generative AI, and hyperscale silicon architectures.

25+ years covering AI and enterprise software. Co-founded 451 Research. London-based analyst covering AI platforms and infrastructure.

Covers intelligent devices, edge AI, sustainability, and the convergence of silicon and software at the edge.

Covers enterprise applications, digital workflows, and the intersection of AI with enterprise software strategies.
Operational Depth in Enterprise SaaS: The Hidden Moat Against the ‘Build It Yourself’ Narrative. Core value is in governance, security, and deep orchestration.
800 VDC power architecture is becoming a key enabler of AI factory scale as NVIDIA and Analog Devices address power delivery constraints.
Salesforce’s agentic AI platform transforms martech with collaborative AI agents designed to deliver measurable ROI for enterprise marketers.
The Workday Google Cloud partnership integrates AI agents, enterprise data, and workflow automation into Gemini Enterprise for HR and finance operations.
Institutional-grade research, proprietary data, and analyst access — reserved for premium subscribers
Proprietary capacity projections for TSMC's advanced packaging, including customer allocation estimates and pricing trajectory analysis.
PREMIUM ONLYQuarterly market share data for AI training and inference chips across cloud hyperscalers, enterprise, and edge deployments.
PREMIUM ONLYA 40-page report covering chiplet architectures, advanced packaging technologies, and the companies positioned to dominate the next era of semiconductor manufacturing.
PREMIUM ONLYSiFive’s IP vendor perspective on RISC-V expanding beyond embedded into the Performance CPU segment — including the P550 family, the RVA23 profile, and out-of-order CPU IP for AI workloads.
CoreWeave-sponsored webinar examining why operationalizing AI inference at scale — not training new models — is the real challenge facing enterprises in 2026.
Register →On-demand webinar with CharacterAI’s Chief Architect on how AMD MI325X accelerators with 256GB HBM and DigitalOcean enabled production-scale inference on half the hardware.
Watch On-Demand →RackN webinar on building AI infrastructure automation for bare metal at scale — covering operator challenges and high-speed, large-scale bare metal management with AIOps.
Watch On-Demand →RISC-V is commonly seen as an ISA for embedded products; for smaller devices that require low power consumption but aren’t very complex and can tolerate lower performance. SiFive, a leading RISC-V IP vendor, is proving that incorrect with its Performance family of products. They recently launched the latest product in the series, the P550, that supports the RVA23 profile: a crucial enabler for SW developers and the industry as a whole. In this webinar, we discuss how SiFive has been able to deli
Watch On-Demand →There has never been a megatrend as transformative as AI. 2023 unlocked new possibilities, 2024 brought new proof of concepts and 2025 was the year to prove the ROI and business value generation of AI. 2026 is the year of the AI reality check and organizations that successfully operationalize AI to drive concrete efficiency and measurable impact will be the ultimate winners.
Watch On-Demand →As AI adoption accelerates, organizations are discovering that the real challenge is no longer building models—it’s running them reliably at scale. This webinar explores the growing “production AI gap,” where promising prototypes fail to translate into consistent, real-world outcomes. Attendees will gain a clearer understanding of why inference—not training—is becoming the defining layer of AI, and what it takes to operationalize AI systems in environments shaped by unpredictable demand, latency
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