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NVIDIA
Openai
Anthropic
Artificial Intelligence
Data Centers
Neoclouds
Inferencex
Spacex
Data Center Moratoriums
Vera Rubin
TSMC
GPU Clusters
Cerebras
Unitree
LLVM
Deepseek V4
Kimi K3
PJM
Openai Jalapeno
Modular Data Centers

Everything semiconductors and AI

Covering the spectrum

PublishesTwice weeklyEpisodes44Founded9 months ago
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Business

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Artwork for SemiAnalysis Weekly

Latest Episodes

Recorded Election Day morning, before any results: SemiAnalysis’s model has about 62 GW of US datacenter additions in 2028, most not yet under construction and sitting in states electing a governor. Texas alone is close to 30%.

Jordan Nanos (@Jordan... more

SemiAnalysis just launched GDPx, a benchmark built with 14 specialized data partners across 11 domains where frontier intelligence earns the highest returns. Even the best model scores just 12%.

Jordan Nanos (@JordanNanos) sits down with Max Kan (@... more

Anthropic filed its S-1: revenue per dollar of compute is up 5.2x since Q1 2025, a customer who spent $1 last year now spends $9, and incremental gross margins are running near 90%. Jordan Nanos (@JordanNanos), Doug O'Laughlin (@fabknowledge), Jeremi... more

Every hybrid bonder on the market today brings the die to the wafer. ASML's patents bring the wafer to the die.Sherry Zhang and Howie join Jordan Nanos (@jordananos) to dig into the patents behind ASML's die-to-wafer hybrid bonder, why a track-based ... more

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Recent Guests

Max Kan
SemiAnalysis researcher involved in developing the GDPx benchmark
SemiAnalysis
Episode: Ep. 042 - GDPx: The Benchmark for Frontier AI
Andrew Megalaa
SemiAnalysis researcher involved in developing the GDPx benchmark
SemiAnalysis
Episode: Ep. 042 - GDPx: The Benchmark for Frontier AI
Sherry Zhang
SemiAnalysis
Episode: Ep. 040 - ASML Is Building a Hybrid Bonding Tool, and Its Patents Show How (AI Supply Chain) | Jordan Nanos, Howie, Sherry Zhang
Jeremie Ontiveros
SemiAnalysis analyst tracking data center capacity and infrastructure models
SemiAnalysis
Episode: Ep. 039 - [EMERGENCY] Our Numbers Are "Insane." Here's the Proof. (Datacenters) | Jeremie Ontiveros, Reyk Knuhtsen, Jordan Nanos
Reyk Knuhtsen
SemiAnalysis analyst tracking data center construction and satellite imagery
SemiAnalysis
Episode: Ep. 039 - [EMERGENCY] Our Numbers Are "Insane." Here's the Proof. (Datacenters) | Jeremie Ontiveros, Reyk Knuhtsen, Jordan Nanos
Wenyao Gao
SemiAnalysis researcher covering AI inference performance
SemiAnalysis
Episode: Ep. 038 - GLM 5.3 on AMD, NVIDIA, and Chinese Chips From Day One (InferenceX) | Kimbo Chen, Wenyao Gao, Jordan Nanos
Kimbo Chen
SemiAnalysis researcher covering AI models and post-training
SemiAnalysis
Episode: Ep. 038 - GLM 5.3 on AMD, NVIDIA, and Chinese Chips From Day One (InferenceX) | Kimbo Chen, Wenyao Gao, Jordan Nanos
Cam Quilici
InferenceX team member working on AI inference benchmarks and systems
InferenceX
Episode: Ep. 034 - Engrams: How DeepSeek Offloads KV Cache to DRAM and SSD (Core Research) | Jordan Nanos, Cam Quilici, Alec Ibarra, Bryan Shan
Bryan Shan
InferenceX team member covering model architecture and accelerator performance
InferenceX
Episode: Ep. 034 - Engrams: How DeepSeek Offloads KV Cache to DRAM and SSD (Core Research) | Jordan Nanos, Cam Quilici, Alec Ibarra, Bryan Shan

Host

Jordan Nanos
Host of SemiAnalysis Weekly

Reviews

4.7 out of 5 stars from 34 ratings
  • 10/10

    Nobody does it better. Love the format and great mix of content topics. Please keep giving this away for free.

    Apple Podcasts
    5
    CoterieMan
    United Statesa month ago
  • Hire an audio engineer

    Guys, please fix your audio setup. The microphone noise, phones buzzing, typing on keyboards, etc. makes this hard to listen to.

    Apple Podcasts
    2
    bluesky485
    United States3 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Guests and topics are strong, but production pace can be uneven.
Audio quality is an ongoing pain point for listeners.
Deep technical insights are valuable for enterprise listeners.

Chart Rankings

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Apple Podcasts
#161
India/Business
Apple Podcasts
#186
Singapore/Business
Apple Podcasts
#211
Finland/Business
Apple Podcasts
#248
Saudi Arabia/Business

Talking Points

Recent interactions between the hosts and their guests.

Ep. 042 - GDPx: The Benchmark for Frontier AI
Q: Can you talk about, like, how does running through a benchmark like this inform your point of view on whether AI is going to cause job loss in the next year or two years, even five year time horizon?
Kan says GDPx does not directly resolve the question because it focuses on frontier domains rather than many roles people fear could be automated. He describes both the possibility that human-AI collaboration will increase workers' value and the possibility that future systems could substantially reduce staffing needs.
Ep. 042 - GDPx: The Benchmark for Frontier AI
Q: Can you explain the distinction between difficult and impossible here? Like you did this in the article, it has to do with both the prompt and the grader.
Kan says the key distinction is between a genuinely difficult task and an unfair one. A verifier can incorrectly mark a model's valid solution as wrong if it only recognizes one acceptable approach.
Ep. 038 - GLM 5.3 on AMD, NVIDIA, and Chinese Chips From Day One (InferenceX) | Kimbo Chen, Wenyao Gao, Jordan Nanos
Q: Can you put a little bit of a finer point on the capacity versus bandwidth thing?
Offloading memory to DRAM can support more concurrent users, but it increases latency. Sparse attention still needs memory bandwidth to load relevant data, while caching and memory hierarchy can help manage limited HBM capacity.
Ep. 038 - GLM 5.3 on AMD, NVIDIA, and Chinese Chips From Day One (InferenceX) | Kimbo Chen, Wenyao Gao, Jordan Nanos
Q: What is sparse attention? Why do we care about HBM memory usage when we talk about these new open models?
Sparse attention selects the most relevant tokens while preserving the core attention operation. It can reduce memory-bandwidth demands, but the model still needs to retain the full context, so memory capacity remains a constraint.
Ep. 039 - [EMERGENCY] Our Numbers Are "Insane." Here's the Proof. (Datacenters) | Jeremie Ontiveros, Reyk Knuhtsen, Jordan Nanos
Q: Can you talk to me about the chance that half of these construction projects slip by a year, two quarters enough to push them into 2028 or something like that?
Knuhtsen says the model screens for aggressive timelines and project risks, while the analysts already account for expected delays. Ontiveros adds that they deliberately include delays of one to three quarters in their assumptions.

Audience Metrics

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Frequently Asked Questions About SemiAnalysis Weekly

What is SemiAnalysis Weekly about and what kind of topics does it cover?

SemiAnalysis Weekly covers semiconductors and AI with a tech-forward lens, frequently diving into AI compute economics, data-center dynamics, and hardware strategy. Episodes commonly feature deep-dive tech topics (from processor and accelerator developments to 800V DC data-center power), plus market and governance angles around AI labs, frontend token economics, and open vs closed ecosystems. The show often pairs industry veterans, researchers, and operators to unpack complex topics, making it valuable for listeners who want practical context on how hardware, software, and capital interact in AI infrastructure. Noteworthy is a consistent focus on practical implications for buyers, builders, and policy, plus hands-on teardown and benchmarkin... more

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SemiAnalysis Weekly launched 9 months ago and published 44 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on SemiAnalysis Weekly?

Recent guests on SemiAnalysis Weekly include:

1. Max Kan
2. Andrew Megalaa
3. Sherry Zhang
4. Jeremie Ontiveros
5. Reyk Knuhtsen
6. Wenyao Gao
7. Kimbo Chen
8. Cam Quilici

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