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Broadcom's custom AI silicon takes over the income statement as revenue climbs 86%

The Hot Take: Broadcom making bank from Ai ASICs? Is Nvidia's domination of the Ai market about to slip?

Broadcom's third quarter, ended August 2, 2026, is the point at which custom AI silicon stopped being an adjacent product line and became the shape of the company. Revenue reached US$29.6 billion, up 86% from a year earlier and 33% from the previous quarter. AI semiconductor revenue of US$16.7 billion — up 221% year on year, and 54% sequentially — is now larger than everything Broadcom billed, across every product and both segments, in the same quarter of 2025.

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OpenAI’s First-Gen Jalapeno ASIC Blows Competition Out Of The Park, Performs 1.5x to 1.9x More Work Per Kilowatt Than NVIDIA’s Blackwell Chips, While Threatening The CUDA Moat

The Hot Take: Please let GPU prices drop soon....

OpenAI seems to have used its current spate of models that run on NVIDIA GPUs to design the Jalapeno chip, and then paired it with its own Gluon kernel programming language, thereby daring to threaten NVIDIA's legendary CUDA moat. How the tables have turned! The architecture of OpenAI's Jalapeno chip SemiAnalysis has just provided a detailed breakdown of OpenAI's Jalapeno ASIC, describing a somewhat novel architecture that delivers substantial economies of scale. As such, the Jalapeno pairs a single reticle-sized compute die - built on TSMC’s…

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AMD acquires AI chip startup Taalas to boost inference performance by etching models into silicon

The Hot Take: That sounds alot like an ASIC...

In AMD’s latest bid to upset Nvidia's dominance in AI hardware, the House of Zen has acquired AI chip company Taalas, which bakes model weights directly into silicon in a process that promises to boost inference performance by an order of magnitude or more. The deal, announced at market close on Thursday, appears to be framed in much the same context as Nvidia’s $20 billion licensing deal with Groq last December: make high-performance “premium” inference services prized for AI agents, like code assistants, faster and cheaper to run. AMD didn’t…

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Intel grows as strongly as it has in more than 15 years: AI boom drives Xeon demand massively

The Hot Take: Good to hear, and hope it's true.

Intel is back with unusually strong quarterly figures. In the second quarter of 2026, the company generated revenue of around 16.1 billion US dollars, 25 percent more than in the same period last year. According to Intel, this was the strongest revenue growth in more than 15 years. The data-center processor business in particular benefited […]

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AMD Is Reportedly Pricing Its Helios Rack 40% Above NVIDIA’s Second-Gen Rubin, Confident That Customers Will Pay The Premium

The Hot Take: Will have to take this with a bit rock of salt until we see the benches and real world performance. Just a price grab or actual performance?

AMD is apparently no longer satisfied with being perceived as a perennial underdog, and is reportedly choosing to make a bold statement by pricing its Helios rackscale solution at a hefty premium to NVIDIA's Rubin. What's more, AMD has reportedly managed to rope in Microsoft as the product's first confirmed client, demonstrating the utility that Helios offers even at its supposedly elevated price point. Futurum believes AMD will price Helios at $5 million to $5.5 million per rack, versus an expected retail price of $3.5 million to $4 million…

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Intel Posts Initial GCC Compiler Patches For AI Compute Extensions "ACE"

The Hot Take: I really wonder if this will deflate the Ai bubble even a little bit.

The x86 Ecosystem Advisory Group led by Intel and AMD recently firmed up the AI Compute Extensions (ACE) specification for optimizing x86 for AI computation tasks around matrix multiplication and the like for machine learning workloads. The cross-vendor ACE extension is ultimately a successor to Intel's Advanced Matrix Extensions (AMX). Posted to the GCC mailing list today by Intel engineers are the initial patches in preparing the compiler support for ACE...

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Qualcomm Claims Single-Core Leadership for Its First Server CPU, the Dragonfly C1000, Delivering 250+ Cores & 5 GHz By 2028

The Hot Take: Interesting...

Qualcomm has introduced its first-ever CPU designed for Data Centers, the Dragonfly C1000, which leverages the Oryon architecture. Qualcomm Enters The Agentic AI CPU Race With Dragonfly C1000 Chip, Oryon-Based With Over 5 GHz Clocks, Over 250 Cores, & Aims To Achieve Single-Core Leadership One of the biggest announcements by Qualcomm today was its first release of a CPU for the data center segment, called the Dragonfly C1000. This is a chip purpose-built for Agentic AI & General-Purpose workloads, delivering best-in-class power…

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Tensordyne's 3nm Napier AI Chip Promises 13x Higher Token Throughput Than Blackwell & Blazes Past Rubin With 1000 Tokens/s In Multi-Trillion Parameter Models

The Hot Take: I really hope something comes soon to alleviate all this nonsense AI is causing.

US-based AI company, Tensordyne, has announced the successful tape-out of its Napier chip, which it claims to demolish NVIDIA's Blackwell & Rubin chips with leading token throughput and efficiency. Tensordyne’s new Napier AI Chip arrives with one clear mission: to make NVIDIA’s Blackwell and Rubin chips look considerably less impressive The Napier chip will be the core component of the Tensordyne Napier TDN system, which is designed in collaboration with Broadcom and HPE Juniper Networks. The Napier platform has one goal: to unify AI…

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