AI News

VB

Enterprise AI's real risk isn't autonomous agents. It's the complexity between them.

Presented by Gravitee Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it.That’s because enterprises don't deploy a single agent and watch it run, they deploy fleets, each one calling APIs, calling other agents, reaching into applications that were never built with a machine decision-maker in mind. That's the failure mode that should keep you up at night: a windy, complicated system nobody can see clearly enough to govern. But wh

AI risk Agent governance Enterprise architecture
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VB

When agents act on their own, governance has to live in the data layer

Presented by EDB As enterprises give AI agents more autonomy — the ability to plan, decide, and act across systems without a human approving each step — a hard question moves to the center of every architecture review: When an agent tries to complete an action that it was never authorized to do, what actually stops it?These are your agents, running on your models, touching your data in your infrastructure — and the responsibility for what they do sits with you. That responsibility can’t be met i

AI agents Data governance Enterprise security
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AWS and NVIDIA Add 2 Million GPUs: Demand Exceeds Every Forecast, Partnership Expands from Chips to Full Technology Stack

On August 26, 2026, AWS and NVIDIA jointly announced the deployment of an additional 2 million NVIDIA GPUs across AWS's global infrastructure from 2027 to 2028, spanning the Blackwell Ultra, Rubin, and Rubin Ultra architectures. Driven by customer demand that has exceeded all previous forecasts, the partnership has expanded from GPU procurement to full-stack co-design across CPUs, networking, memory, open models, and robotics.

AWS NVIDIA GPU
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AIN

A quarter of Nvidia’s business next year comes from labs it is financing

Nvidia has put nearly US$50 billion into the AI labs that buy its chips, and has lined up commitments for more than $500 billion Colette Kress, the company’s chief financial officer, told analysts on August 26 that demand from the labs Nvidia backs with its own balance sheet will contribute toward roughly a quarter of its business […] The post A quarter of Nvidia’s business next year comes from labs it is financing appeared first on AI News.

Nvidia AI chips AI investment
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OpenAI's Self-Developed Chip Jalapeño Passes First Test: Per-Watt Performance Up to 1.9x NVIDIA's Flagships, 700W vs 1400W

On August 26, 2026, OpenAI released the first performance data for its self-developed inference chip, Jalapeño, showing 1.5-1.9x higher throughput per kilowatt and 1.7-3.6x lower end-to-end latency than NVIDIA GB200 and GB300 rack systems on the InferenceX benchmark, marking the company's formal entry into hardware-level competition.

OpenAI Jalapeño 自研芯片
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