silicon enthusiast, has broken humour #intel #AMD #Nvidia

India
Joined August 2021
Bionic_Squash retweeted
ASUS’s first Intel Arc GPU gets €1,799 price tag, Arc Pro B70 with 32GB for workstations 🔗videocardz.com/newz/asuss-fi…
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Bionic_Squash retweeted
Here is how the new "Advanced Performance Extensions (APX)" setting would appear on compatible hardware on 29695
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Bionic_Squash retweeted
AMD FSR 4.1.2 now runs on Intel Arc XMX cores, delivering better image quality than XeSS upscaling with similar performance. 🔗 wccf.tech/1lfg3
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Bionic_Squash retweeted
It's that time again?
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Atleast we still have the island product line
Replying to @Silicon_Fly
>Jaguar Shores I got some news for you.....
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Bionic_Squash retweeted
Intel confirms Razor Lake-AX for 2028 with 700 TOPS AI performance 🔗videocardz.com/newz/intel-co…
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Bionic_Squash retweeted
ASUS finally builds an Intel Arc graphics card after two generations on the sidelines, and it's the full 32 GB Big Battlemage Arc Pro B70. 🔗 wccf.tech/1le8h
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Bionic_Squash retweeted
There is a lot I’m interested in with this play from Intel and there is something here more strategic than is obvious. And here are pics of the goods.
Hosting an 816B-parameter model on air-cooled hardware? Intel delivers Day 0 support for @Meta's Muse Spark Open using four 160GB Intel GPU D-series cards alongside Intel Xeon processors for flexible, memory-intensive enterprise AI. It is the most capable U.S. open-weights model to date. Learn more: ms.spr.ly/6013at3KN
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Bionic_Squash retweeted
New Intel Arc graphics drivers for Call of Duty: Modern Warfare 4 & Planet Zoo 2 are available! The 32.0.101.9150 WHQL release also delivers performance improvements for nine other games. More details and download available here: ms.spr.ly/6011aseSH
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Bionic_Squash retweeted
Oooo, saw some ASE Panels on the OCP showfloor! Looks like they are the panels that Venice will be using.
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Bionic_Squash retweeted
Unveiled today, the Intel GPU D-series is built on Xe3P architecture and optimized to power agentic AI. The air-cooled PCIe 5.0 card supports leading open models on vLLM and the open PyTorch ecosystem.
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