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CapEx is just Memory Tax Now, Deepseek V4 NAND impact
The hyperscaler memory tax quarter. More CapEx? Pssh. We knew flops needed scaling. But $25B at Microsoft alone just to pay higher component prices? A memory tax. That's the news. NAND? Sold out. HBM? Sold out. What we cover: • SanDisk reve
Masterclass on Google's TPU v8 Networking
Google's Cloud Next 2026 keynote? Fire. 🔥 The TPU is now two chips instead of one — 8t for training, 8i for inference — but more interestingly, it's two scale-up networking topologies too. Austin Lyons (Chipstrat (https://www.chipstrat.com
Meta VP Matt Steiner on Ads Infra, GPUs, MTIA, and LLM-Written Kernels
Matt Steiner, VP of Monetization Infrastructure, Ranking & AI Foundations at Meta, walks through how Meta's ad system actually works, and why the infrastructure behind it differs from what you'd build for LLMs. We cover Andromeda (retrieval
Credo + Dust Photonics, XPO, Nuvacore
Austin and Vik discuss Credo's acquisition of Dust Photonics, XPO as the new standard for scale-out (maybe instead of CPO?) and some thoughts about Nuvacore entering the CPU scene for agentic AI. Gavin Baker's tweet: https://x.com/GavinSBak
Is Intel Finally Back with a $300B market cap? OpenClaw can Dream?
In this episode, Austin and Vik discuss if Intel is finally back with CPU partnerships with Google, and heterogeneous inference with SambaNova, while market cap soars above $300B. Vik tries to get his OpenClaw instance to dream every night.
Reiner Pope (MatX): Designing AI Chips From First Principles for LLMs
Reiner Pope is the co-founder and CEO of MatX, the startup building chips designed from first principles for LLMs. Before MatX, Reiner was on the Google Brain team training LLMs, and his co-founder Mike Gunter was on the TPU team. They left
$300M for 70K Viewers | Intel x Elon, OpenAI x TBPN, Citrini's Strait of Hormuz Stunt
Intel Foundry just partnered with Elon Musk’s Terafab. What is Terafab anyway, why vertically integrated fabs make sense but the economics don’t (yet!), and what Intel is doing here (hint: no idea). Then: OpenAI acquires TBPN for an estimat
NVIDIA's Marvell Strategy, Is Memory Different This Time?, Intel's Ireland Fab
In this episode, Austin and Vik analyze NVIDIA's $2 billion investment in Marvell NVLink Fusion, exploring its implications for AI infrastructure, interconnect protocols, and the broader chip ecosystem. They also discuss the current memory
ARM AGI CPU has entered the chat, TurboQuant thrashes memory stocks
In this episode, Austin and Vik analyze recent developments in GloFo patent lawsuits, the impact of TurboQuant on AI inference, and ARM's strategic move into silicon for agentic AI workloads. Read Vik's substack: https://www.viksnewsletter.
MicroLEDs Ain’t Dead, Micron Snags Vera Rubin
Austin and Vik break down a packed week in semiconductors, covering GTC, OFC, and Micron earnings. The conversation kicks off with Jensen Huang's bold claim that engineers should spend $250K/year on AI tokens, and whether companies will buy
Quick Takes: Nvidia Keynote at GTC
Vik and Austin unpack the Nvidia GTC keynote with fresh, top-of-mind takes while trying to breakdown key announcements, what matters and what doesn't. They discuss Groq's LPX, optics+copper for scale up, new CPU requirements, CPO for networ
Meta's Inference Accelerator & Applied Optoelectronics (AAOI)
Austin recaps moderating an agentic AI panel at Synopsys Converge, then gives an in-depth technical breakdown of Meta's MTIA custom silicon. Why they're building it, how chiplets let them ship a new chip every 6 months, and how the roadmap
The Great Optics-Copper Crossroads
This week, Austin and Vik break down the optics vs. copper debate that rocked semis this week. Nvidia dropped $4 billion on Lumentum and Coherent, Credo posted a blowout quarter betting on copper, and then Hock Tan shocked everyone claiming
Optical Supply Chain: What would you buy?
This week, we move from optics technology to optics companies. We walk the AI optical supply chain from bottom to top. Main debate: Who has a moat? Who is already priced for perfection? *Not investment advice, do your own due diligence* AXT
Optical Networking Supercycle - ALL the Tech You NEED to know
Austin and Vik delve into the evolving landscape of optics and networking, particularly in relation to AI and data centers. The conversation covers various scales of networking, including scale across, scale out, and scale up, while also ad
Memory Mayhem & AI Capex Madness
In this episode of the Semi Doped podcast, Austin and Vik delve into the current state of the semiconductor industry, focusing on the memory crisis driven by increasing demand from AI applications. They discuss the implications of rising me
The future of financing AI infrastructure with Wayne Nelms, CTO of Ornn
In this episode, Vik and Wayne Nelms discuss the emerging financial exchange for GPU compute, exploring its implications for the AI infrastructure market. They discuss the value of compute, pricing dynamics, hedging strategies, and the futu
A New Era of Context Memory with Val Bercovici from WEKA
Vik and Val Bercovici discuss the evolution of storage solutions in the context of AI, focusing on Weka's innovative approaches to context memory, high bandwidth flash, and the importance of optimizing GPU usage. Val shares insights from hi
OpenClaw Makes AI Agents and CPUs Get Real
Austin and Vik discuss the emerging trend of AI agents, particularly focusing on Claude Code and OpenClaw, and the resulting hardware implications. Key Takeaways: • 2026 is expected to be a pivotal year for AI agents. • The rise of agentic
An Interview with Microsoft's Saurabh Dighe About Maia 200
Maia 100 was a pre-GPT accelerator. Maia 200 is explicitly post-GPT for large multimodal inference. Saurabh Dighe says if Microsoft were chasing peak performance or trying to span training and inference, Maia would look very different. High
Can Pre-GPT AI Accelerators Handle Long Context Workloads?
OpenAI's partnership with Cerebras and Nvidia's announcement of context memory storage raises a fundamental question: as agentic AI demands long sessions with massive context windows, can SRAM-based accelerators designed before the LLM era
An Interview with Innoviz CEO Omer Keilaf about current LiDAR market dynamics
Innoviz CEO Omer Keilaf believes the LIDAR market is down to its final players—and that Innoviz has already won its seat. In this conversation, we cover the Level 4 gold rush sparked by Waymo, why stalled Level 3 programs are suddenly accel
LiDAR, Explained: How It Works and Why It Matters
Austin and Vik discuss why LiDAR is important for autonomy, how modern systems work, and how the technology has evolved. They compare Time of Flight and FMCW architectures, explain why wavelength choice matters, and walk through the tradeof
Nvidia CES 2026
Episode Summary Austin and Vik break down NVIDIA’s CES 2026 keynote, focusing on Vera Rubin, DGX Spark and DGX Station, uneducated investor panic, and physical AI. Key Takeaways • DGX Spark brings server-class NVIDIA architecture to the des
Insights from IEDM 2025
Austin and Vik discuss key insights from the IEDM conference. They explore the significance of IEDM for engineers and investors, the networking opportunities it offers, and the latest innovations in silicon photonics, complementary FETs, NA
Nvidia "Acquires" Groq
Key Topics • What Nvidia actually bought from Groq and why it is not a traditional acquisition • Why the deal triggered claims that GPUs and HBM are obsolete • Architectural trade-offs between GPUs, TPUs, XPUs, and LPUs • SRAM vs HBM. Speed
