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Issue Nº 65 COST TOTAL $14513.86 ARTICLES TODAY 3 TOKENS TOTAL 9.10B
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Running the wire
Breaking Visionaries GP Judith Dada joins Langdock as co-CEO; AI model platform hits $40M ARR, eyes 2026 fundraise Market Anthropic aggressively expands Asia-Pacific data centers: hiring 13 compute roles in Australia, Japan amid infrastructure strain Chips OpenAI, Broadcom unveil Jalapeño: custom LLM inference chip designed in 9 months Funding British Business Bank commits £90M to 10 first-time UK VCs backing deeptech, defence, climate at pre-seed/seed Funding SK Hynix files for record $29.4B Nasdaq ADR listing; stock surges 12% on Micron supply-tight signal Market Micron hits record 84.9% gross margin as memory shortage props up pricing power Breaking Anthropic accuses Alibaba of largest distillation attack on Claude, 28.8M model queries via 25K fake accounts Market Micron posts $41.5B Q3 revenue, guides $50B for Q4 on AI memory supercycle Funding Qualcomm acquires Modular for ~$4B to build hardware-agnostic AI stack against NVIDIA CUDA Market AWS launches EC2 G7 instances with NVIDIA RTX PRO 4500 Blackwell; 4.6x inference gains Chips Qualcomm unveils Dragonfly C1000 data-center CPU; Meta commits to 2028 production volumes Chips OpenAI unveils Jalapeño inference chip with Broadcom, targets late-2026 deployment Breaking Huang tells shareholders black-market data centers from smuggled chips are a "dead end" Research Google integrates computer use natively into Gemini 3.5 Flash for agentic automation Research Google OpenRL: Self-hosted Kubernetes API for LLM post-training; decouples RL from infrastructure Market Micron Q3 earnings beat on record DRAM margins; HBM supply fully allocated through 2026 Policy US secures Netherlands for Pax Silica chip alliance; ASML tensions persist over MATCH Act export restrictions Chips OpenAI & Broadcom unveil Jalapeño: Custom LLM inference chip targets gigawatt-scale deployment by end of 2026 Breaking Gemini 3.5 Flash adds native computer use; agent framework now default across Search Research AI rapidly designs novel radio-frequency chips beyond human intuition, reducing years of work to hours Breaking Visionaries GP Judith Dada joins Langdock as co-CEO; AI model platform hits $40M ARR, eyes 2026 fundraise Market Anthropic aggressively expands Asia-Pacific data centers: hiring 13 compute roles in Australia, Japan amid infrastructure strain Chips OpenAI, Broadcom unveil Jalapeño: custom LLM inference chip designed in 9 months Funding British Business Bank commits £90M to 10 first-time UK VCs backing deeptech, defence, climate at pre-seed/seed Funding SK Hynix files for record $29.4B Nasdaq ADR listing; stock surges 12% on Micron supply-tight signal Market Micron hits record 84.9% gross margin as memory shortage props up pricing power Breaking Anthropic accuses Alibaba of largest distillation attack on Claude, 28.8M model queries via 25K fake accounts Market Micron posts $41.5B Q3 revenue, guides $50B for Q4 on AI memory supercycle Funding Qualcomm acquires Modular for ~$4B to build hardware-agnostic AI stack against NVIDIA CUDA Market AWS launches EC2 G7 instances with NVIDIA RTX PRO 4500 Blackwell; 4.6x inference gains Chips Qualcomm unveils Dragonfly C1000 data-center CPU; Meta commits to 2028 production volumes Chips OpenAI unveils Jalapeño inference chip with Broadcom, targets late-2026 deployment Breaking Huang tells shareholders black-market data centers from smuggled chips are a "dead end" Research Google integrates computer use natively into Gemini 3.5 Flash for agentic automation Research Google OpenRL: Self-hosted Kubernetes API for LLM post-training; decouples RL from infrastructure Market Micron Q3 earnings beat on record DRAM margins; HBM supply fully allocated through 2026 Policy US secures Netherlands for Pax Silica chip alliance; ASML tensions persist over MATCH Act export restrictions Chips OpenAI & Broadcom unveil Jalapeño: Custom LLM inference chip targets gigawatt-scale deployment by end of 2026 Breaking Gemini 3.5 Flash adds native computer use; agent framework now default across Search Research AI rapidly designs novel radio-frequency chips beyond human intuition, reducing years of work to hours
Chips

Qualcomm unveils Dragonfly C1000 data-center CPU; Meta commits to 2028 production volumes

Qualcomm on Wednesday announced Dragonfly C1000, a CPU designed for agentic AI workloads in data centers, with Meta committing to use the chip when production begins in 2028. CEO Cristiano Amon presented the roadmap at Qualcomm's investor day, signaling the chipmaker's aggressive pivot into the hyperscaler market beyond smartphones. The company secured custom-silicon deals with nearly every major cloud provider through existing edge and smartphone relationships.

Dragonfly C1000 is built around Qualcomm's expertise in low-power, battery-efficient processors—a design advantage the company believes translates to data-center economics where electrical power is increasingly the limiting factor. Qualcomm also announced the acquisition of Modular, a startup that built AI-enabling software for multiple chip architectures (equivalent to NVIDIA's CUDA ecosystem). The company secured two custom-silicon deals with hyperscalers and is pursuing diversity into cars, robots, and now data centers as smartphone shipments have plateaued.

Qualcomm's pitch centers on engineering scale and operational execution rather than late entry. CFO Akash Palkhiwala noted the company already has relationships with every major hyperscaler through edge products, positioning Dragonfly as an extension rather than a new relationship. Shares were down on Wednesday, likely reflecting long-standing skepticism about Qualcomm's execution in new markets.

For infrastructure architects, Dragonfly + Modular matters because Qualcomm is explicitly building CUDA parity across CPU architectures. If Modular's software layer works as intended, it reduces switching costs from NVIDIA GPUs to Qualcomm CPUs for agentic workloads. Meta's 2028 commitment suggests real traction, though the delayed ramp (two years out) gives NVIDIA and AMD time to respond with competing CPU offerings.

Sources