government cloud

Gimlet Labs' $3B Bet on Multi-Silicon Inference Cloud

Gimlet Labs’ $3B Bet on Multi-Silicon Inference Cloud

Gimlet Labs has raised $300 million at a $3 billion valuation to build the industry’s first multi-silicon inference cloud. The company routes AI workloads across heterogeneous hardware to cut latency and cost. ECI Research analysts examine the architectural stakes and what it means for enterprise and government buyers.

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NVIDIA Vera CPU Arrives at AWS: What It Means for Agentic AI

NVIDIA Vera CPU Arrives at AWS: What It Means for Agentic AI

NVIDIA has begun delivering its Vera CPU to AWS, marking a new phase in the companies’ expanded partnership and signaling a shift in AI infrastructure priorities toward agentic workloads. The Vera CPU delivers up to 1.8x faster per-core performance on agentic AI tasks, addressing a bottleneck that GPU-dense architectures were never designed to solve. For government buyers, the compliance pathway to access this compute will matter as much as the hardware itself.

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Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

Everpure reported record Q2 revenue of $1.2 billion, up 38% year-over-year, backed by back-to-back hyperscaler design wins and a new Data Primacy architecture aimed at enabling agentic AI workloads. ECI Research analyzes what the results mean for enterprise IT buyers and government technology leaders navigating AI adoption. The compliance friction problem, not just the infrastructure gap, may determine how quickly the Data Primacy thesis converts to regulated-sector revenue.

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Google's Agentic AI Push into Government: ECI Research Analysis

Google’s Agentic AI Push into Government

Google Public Sector used Google Cloud Next ’26 to showcase agentic AI deployments across the Pentagon, Covered California, UC Riverside, and multiple state and local agencies. The announcements signal a decisive shift from AI experimentation to operational deployment in government. ECI Research analyzes what this means for IT decision-makers and developers working in and adjacent to the public sector.

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