#Hardware

Arm at Exascale: Inside the New Number One Supercomputer

China's CPU-only LineShine system claims the TOP500 crown, highlighting a growing architectural split between scientific HPC and AI clusters.

Article · 1d ago5

IBM's 0.7nm Breakthrough and the Future of AI Compute

Vertical transistor stacking promises to slash AI training times and rewrite the rules of accelerator memory bottlenecks.

Article · 2d ago7

Demystifying USB-C Complexity Through a 10G Ethernet Lens

The WisdPi 10G Ethernet module for Framework laptops illustrates why physical ports and protocol layers are often worlds apart.

Article · 2d ago0

OpenAI Jalapeno and the Shift to Custom Inference Silicon

Custom ASICs are replacing general-purpose GPUs for running large language models to survive the crushing cost of scale.

Article · 2d ago7

The Thermal Reality of IBM's Sub-1nm NanoStack

IBM's 3D transistor stacking promises massive efficiency gains, but translating vertical silicon to production-ready AI hardware remains a steep climb.

Article · 2d ago2

Apple Fast-Tracks M7 Silicon to Rewrite On-Device AI Limits

Skipping high-end M6 chips forces developers to target a massive leap in memory bandwidth and Neural Engine capacity.

Article · 3d ago0

Stacking the Deck: IBM’s NanoStack and the Sub-1 nm Era

By building transistors vertically, IBM’s 7-angstrom architecture tackles the memory and power walls limiting next-generation AI accelerators.

Article · 4d ago2

The Thermodynamics of NVIDIA's 45°C Liquid Cooling

High-temperature closed loops eliminate data center water consumption but expose a deeper dependency on upstream power grids.

Article · 5d ago0

How OpenAI's Jalapeño Chip Changes Production LLM Serving

The custom silicon shift signals a move away from general-purpose GPUs toward highly specialized, memory-optimized inference architectures.

Article · 5d ago1

The Architecture of Monopoly: Inside NVIDIA's Supercomputing Hegemony

NVIDIA now powers 81 percent of the world's fastest supercomputers, forcing a fundamental rewrite of high-performance software.

Article · 6d ago0

The AI Tax is Starving the Legacy Memory Market

As AI data centers monopolize high-bandwidth memory production, the resulting DRAM shortage is driving up prices for even decades-old silicon.

Article · 6d ago1

How a Repo Name Stalled Linux Drawing-Tablet Drivers

Vendors will hand over specs anyone can extract anyway — they just won't put their name inside a competitor-branded repository.

Article · 1w ago2

Running 70B Models on 4GB VRAM: The AirLLM Layer-Swap Hack

AirLLM trades disk I/O for VRAM, letting developers run massive models locally without renting enterprise GPU clusters.

Article · 1w ago1

TPU vs GPU: The Architecture and Software Trade-offs

Choosing between GPUs and TPUs requires balancing CUDA's dynamic flexibility against the static compilation efficiency of systolic arrays.

Article · 1w ago1

GateGPT: Running Transformers in Pure Digital Logic on FPGAs

By synthesizing a GPT model directly into hardware, GateGPT achieves massive throughput at a fraction of the clock speed.

Article · 1w ago0