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HC1 raises a much bigger question than whether it can outperform GPUs. It asks whether future AI systems will still rely on programmable computing at all, or evolve towards silicon...
New inference hardware claims up to 10x faster AI response times with drastically lower power and cost by embedding models directly into custom silicon rather than relying on GPUs....
TL;DR: AI chips are specialized silicon circuits designed to rapidly process the massive data sets required for artificial intelligence, machine learning, and deep learning. This a...
Can shifting computation into hardware cut AI power use? This chip design can focus on efficiency in time-based data processing. Researchers at Loughborough University have develop...
A new in-package cooling innovation tackles rising heat challenges in 3D-stacked memory chips, improving thermal efficiency and stability for AI workloads while enabling higher ban...
The Tesla_AI chip design team has taped out the AI5 chip. AI6, Dojo3 & other exciting chips in work. Tesla is working with Samsung and TSMC and they have started working with I...
What defines edge AI performance today? A compact workstation integrates CPU, GPU, and NPU to deliver powerful local processing for demanding applications. ASRock Industrial has in...
While AI (artificial intelligence) is rapidly transforming industries, its progress is increasingly constrained by the hardware it depends on. As traditional chip improvements slow...
See AI chip sales by company in Q4 2025, ranked by H100-equivalent compute capacity using data from Epoch AI.
Compact industrial motherboard integrates next-gen processors, high-speed memory, and rich I/O for AI-driven edge deployments. A new Thin Mini-ITX motherboard by Avalue Technology...
Researchers developed an AI-driven materials engine that rapidly identifies new gallium semiconductor candidates, potentially reducing years of chip-material testing and accelerati...
Geniatech APC888 Edge AI Box PC is powered by an NXP i.MX 95 Cortex-A55/M7/M33 applications processor, and features an M.2 socket for AI accelerator from Hailo, MemryX, DeepX, or K...
Anthropic is exploring the design of its own AI chips in response to an industry-wide shortage, potentially enhancing its advanced AI systems.
As AI enters semiconductor verification, it is erasing roles for beginner training while making expert human judgment more critical than ever. How? Artificial intelligence (AI) is...
The module brings Intel's NPU-integrated processors to entry-level x86 systems, scaling edge AI performance and simplifying integration and long-term upgrades.
A memory module is set to power AI servers with higher speed, lower energy use, and smoother performance for large AI workloads. SK Hynix has begun mass production of its 192GB SOC...
Google Cloud split the TPU line into training and inference variants, with Arm Neoverse-based Axion CPUs as the host across the stack. Arm also rolled out Performix, a free perform...
In a landmark moment in its 35-year history, Arm has debuted its own silicon product, the AGI CPU, built on the Arm Neoverse platform.
Every probe humanity has sent to Venus has died. The Soviet Venera landers survived between 23 minutes and two hours on a surface where the temperature exceeds 460 degrees Celsiu...
New AI chips are helping robots work faster and without bulky hardware, powering coffee-making machines, humanoid assistants, and factory automation systems. Intel is pushing deepe...
Artificial Intelligence has outgrown its reliance on GPUs. While graphics processors powered the first wave of deep learning, the next…Continue reading on Medium »
What if personal computers could run massive AI agents locally, without cloud dependency, handling real time decisions, reasoning, and execution instantly? AMD has introduced the...
DEEPX has just launched the DX-AIPlayer, an ultra-compact edge AI mini PC with an Intel Processor “Alder Lake-N” N97 SoC and the company’s DX-M1 M.2 AI accelerator module. The syst...
Behind the surge is an evolving systems architecture for AI known as "orchestration" in which workloads are distributed through multiple processing channels.
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