Why Enterprise Security Starts in the Silicon | AMD PRO
NVIDIA Just Slapped Apple Silicon - RTX Spark
The AI Hardware Podcast S2E6 // Mobileye, NVIDIA, Hailo, Athos, NXP
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Intel, AMD, Arm, RISC-V / The AI Hardware Podcast S2E3
Why is NVIDIA making an Arm laptop?
The AI Hardware Podcast S2E4 // Groq, Etched, Taalas, SambaNova
Groq, Etched, SambaNova, Taalas // The AI Hardware Show S2E4
Intel, IBM, Tensordyne, Qualcomm, Tenstorrent // The AI Hardware Show S2E5
AMD, Intel, Arm, RISC-V, IBM / The AI Hardware Show S2E3
…Its platform focuses on generating hardware-aware, optimized quantum circuits at scale — making it easier for enterprises and researchers to design, analyze, and deploy quantum applications across diverse cloud and quantum hardware…
…great example of how building best-in-class custom silicon enables breakthrough products,” said Johny Srouji, Apple’s senior vice president of Hardware Technologies. “The power-efficient performance of M4, along with…
…with M1 Apple Silicon chips were introduced earlier this week and will be in the hands of customers by next Tuesday. Amid the release, Apple engineering chief Craig Federighi, hardware engineering VP…
I have an M4 Max with 128 GB of unified memory, and I thought it would be easy to reach decent inference speeds with it. After a few failed attempts to exceed about 150 t/s with completely custom Metal inference engines …
SlipMate turns two local AI music models into DJ decks you steer with text prompts and mix like vinyl.crossfader, three-band EQ, freeze loops, and full Pioneer DDJ-FLX4 control. Everything runs locally on Apple Silicon, …
There's a lot of excitement around ARM laptops right now, now that Nvidia also got into this. Better performance per watt, impressive battery life, Apple Silicon changed everyone's expectations. I get it. But there's a p…
Steam Coming Soon: https://store.steampowered.com/app/4525650/Weaponized/ Trailer: https://youtu.be/8OomBw_gEaQ Website: https://vectorhound.com Weaponized is a vector graphics shooter where you mine asteroids for an emp…
Hey there, we fused all 24 layers of Qwen3.5-0.8B (a hybrid DeltaNet + Attention model) into a single CUDA kernel launch and made it open-source for everyone to try it.On an RTX 3090 power-limited to 220W: - 411 tok/s vs…
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