Hardware
The Scalability Gap in Solid-State Cooling and AI Drug Discovery
An analysis of the engineering hurdles and implementation gaps between laboratory proofs-of-concept and real-world consumer hardware applications.
Hardware
Hardware
Chips, GPUs, and the silicon underneath
24 articles in this section.
Hardware
Running DeepSeek-V4-Flash on AMD MI300X: Hardware and Software Challenges
An analysis of the performance and software friction involved in deploying DeepSeek-V4-Flash on AMD’s MI300X GPU compared to consumer hardware.
Hardware
Nvidia RTX Spark: Breaking the VRAM Wall for Local AI Agents
Nvidia’s new RTX Spark architecture combines shared memory and FP4 precision to enable high-parameter local AI models on Windows laptops.
Hardware
Google’s Coral Board: Local Gemma 3 Execution and the Hardware Gap
Google launches a compact board for local Gemma 3 execution, but faces challenges with SDK accessibility and competition from existing GPUs.
Hardware
Figure AI’s Humanoid Robots: Marketing Performance vs. Technical Reality
An analysis of Figure AI’s humanoid robot livestreams, arguing that visual appeal and choreography mask the fragility of the underlying hardware.
Hardware
LetinAR and the Hardware Bottleneck of AI Glasses
South Korean startup LetinAR aims to solve the AI glasses form factor problem by miniaturizing the optical components required for usable displays.
Hardware
Breaking the CUDA Monopoly: AMD ROCm for Clinical AI Fine-Tuning
The MedQA project demonstrates that AMD ROCm is becoming a viable, accessible alternative to Nvidia’s CUDA for specialized clinical AI fine-tuning.
Hardware
AI Power Crisis The Energy Infrastructure Race Is On
AI power consumption is so extreme that energy infrastructure has become the primary constraint on AI development. And the companies who solve this problem first will control the bottleneck that’s stopping everyone else from scaling. The intersection of AI and energy isn’t a side
Hardware
Groq LPU Speed Record The Crack In NVIDIA Monopoly
Groq has set a new speed record for AI inference, and it’s the first crack in NVIDIA’s monopoly. Not because Groq is better than NVIDIA. Because Groq is different, and sometimes “different” is exactly what the market needs. Groq’s LPU (tensor Processing unit) can process large la
Hardware
TSMC 2nm Manufacturing Crisis Delay That Could Stunt AI
TSMC’s 2nm manufacturing delay isn’t just a schedule slip. It’s the kind of delay that could stunt the entire AI industry’s next phase of growth. TSMC has been the world’s most critical semiconductor company for years — and 2nm is supposed to be its greatest achievement. The dela