#Hardware

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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo 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 · 1mo ago0

Demystifying Integer Quantization for Neural Network Inference

A low-level look at the mathematics and hardware mechanics that shrink massive models without destroying accuracy.

Article · 1mo ago0

Ubiquiti Enters Enterprise Storage With ZFS-Powered NAS

The new license-free hardware platform pairs Arm Neoverse N2 silicon with open-drive ZFS storage for virtualization and backups.

Article · 1mo ago0

Unified x86 AI Acceleration: Inside the New ACE Specification

The x86 Ecosystem Advisory Group's new spec brings standardized matrix multiplication and tile registers to modern CPU architectures.

Article · 1mo ago2