Let Them Eat Chips, or something // The Tech Poutine 2026-04-08
The Rebellions Have Started: Korea’s Answer to NVIDIA
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The AI Hardware Podcast S2E6 // Mobileye, NVIDIA, Hailo, Athos, NXP
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The AI Hardware Podcast S2E5 // Intel, IBM, Qualcomm, Tensordyne, Tenstorrent
Why is NVIDIA making an Arm laptop?
[50] A New Era of Chip Design Tools // Q&A with Sassine Ghazi
Groq, Etched, SambaNova, Taalas // The AI Hardware Show S2E4
Highlights and Predictions in Chip Evolution
Ilan Tayari, VP of Architecture, NextSilicon / Ian Interviews #48
Intel, IBM, Tensordyne, Qualcomm, Tenstorrent // The AI Hardware Show S2E5
…chip, utilizing Nvidia’s expertise in building high-performance systems for AI and enterprise use, that’s potentially a game-changer for the laptop market – and a big challenge to AMD, Apple…
…as Apple’s larger M5 chip configurations. Ironically, AMD’s chips have been almost entirely coopted for building DGX Spark-like SFF workstations, so with a robust laptop lineup NVIDIA is not…
…chip. Let's open up these claims to see whether QC firms could actually compete with NVIDIA/AMD. At their current state, quantum computers are known to be best towards specific application…
…Building a full product and partner ecosystem is a much larger challenge than simply building and shipping a chip. It's clear that Nvidia has a small army of OEM partners ready…
…Even though these chips aren’t as powerful or efficient as what Nvidia or AMD offer, it's still better than having no chips at all. This means that local Chinese chip…
…However, all will depend on how well the new NVIDIA processor stacks up against Apple's Silicon, supported apps and whether buyers will be willing to stomach Windows 11. The ASUS ProArt…
Nvidia Challenges Apple Silicon with New RTX Spark PC Chip
\-Models (vs OpenAI & Anthropic): Gemini competes at the frontier, with the Pro/Flash lineup going head-to-head on capability and cost. \-Chips (vs Nvidia): Google’s been running its own TPUs in-house for years, so they …
Hey there, we fused all 24 layers of Qwen3.5-0.8B (a hybrid DeltaNet + Attention model) into a single CUDA kernel launch and made it open-source for everyone to try it.On an RTX 3090 power-limited to 220W: - 411 tok/s vs…
…Because modern machine-learning frameworks are built on CUDA, which crucially runs on Nvidia chips, AMD’s chips underperform even when they have more cores and memory. Comparing chips by spec sheets…
…expanding its deployment of NVIDIA artificial intelligence and accelerated computing technologies throughout its chip design and manufacturing operations. The initiative represents one of the most comprehensive applications of AI within advanced semiconductor…
…with AI application-specific integrated circuits (ASICs), the computing power efficiency of the NVIDIA chips is significantly greater than the custom chips as well. The high costs of NVIDIA's latest AI…
