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#AI hardware

5 discoveries tagged “AI hardware”.

EE Times Magazine – September 2026 - EE Times

EE Times
The September 2026 edition of EE Times Magazine explores advancements in smart building technologies, focusing on energy harvesting, AI, and connected systems to enhance safety…
Insights: This edition is notable for its comprehensive coverage of emerging technologies in smart buildings and semiconductors, offering insights into future trends. · It's valuable for…
smart buildingssemiconductorsAI hardware

OpenAI's First-Gen Jalapeno ASIC Blows Competition Out Of The Park, Performs 1.5x to 1.9x More Work Per Kilowatt Than NVIDIA's Blackwell Chips, While Threatening The CUDA Moat

Wccftech
OpenAI's Jalapeno ASIC chip outperforms NVIDIA's Blackwell chips by 1.5x to 1.9x in work per kilowatt, challenging NVIDIA's CUDA dominance. · The Jalapeno chip features a novel…
Insights: The Jalapeno ASIC is notable for its energy efficiency and performance, making it a game-changer in AI hardware, especially for power-conscious applications. · This technology is…
AI hardwareASICOpenAI

Cerebras CS-4 Generates In 1 Second What A GPU Rack Needs 30 Seconds For, Powered By 4-Trillion-Transistor WSE-3 Turbo

Wccftech
Cerebras has introduced the CS-4, a cutting-edge AI hardware solution featuring the WSE-3 Turbo chip, which boasts 4 trillion transistors and 900,000 cores. · The CS-4 offers…
Insights: The Cerebras CS-4 is notable for its ability to significantly accelerate AI processing, making it a game-changer for industries reliant on fast data processing and large AI…
AI hardwarewafer-scalehigh-performance computing

OpenAI Finds That Systems From AMD's Helios Partner, Cerebras, Are "Incredible" At Inference Tasks, Showing That AMD Chose Wisely

Wccftech
OpenAI has praised the inference capabilities of Cerebras' Wafer-Scale Engine, which is integrated into AMD's Helios rack-scale systems. · AMD's Helios system is a comprehensive…
Insights: This partnership highlights the growing importance of specialized hardware in AI, particularly for inference tasks, which are crucial for real-time AI applications. · For Tindie…
AI hardwareAMDCerebras

HBM’s & DRAM’s Importance Is Waning; Here’s The Silent Upgrade AI Giants Are Racing To Buy Before the Next Big Wave Hits

Wccftech
The importance of HBM and DRAM in AI hardware is decreasing due to their limitations in power consumption, space, and cost, prompting a shift towards alternative solutions.…
Insights: This shift towards QLC eSSDs is notable as it addresses the growing challenges faced by AI data centers, such as space and power constraints, making it a critical development for…
AI hardwarestorage solutionsdata centers