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

Joined August 2021
768 Photos and videos
Bionic_Squash retweeted
Snapdragon 8 Gen 1 (Samsung Foundry 4LPX) vs Snapdragon 8 Gen 1 (TSMC N4) dieshots annotated shot by : b23.tv/H2drEFh
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Bionic_Squash retweeted
Intel Wildcat Lake Refresh reportedly moves to 8 cores, replacing cancelled 6-core Nova Lake videocardz.com/newz/intel-wi…
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Bionic_Squash retweeted
I’d like to clarify a few things here: During our conversation, we touched on the topic of FSR 4.1 on RDNA 3, and in that context, it was mentioned that there are currently no plans to implement it on RDNA 3.5.
Replying to @digitalfoundry
I wasn't there to hear the exact words said however I will share that no such decision as being reported and implied here has been made. We are not ready to speak to any other potential future product plans at this time. We continue to listen to our customers and we hear you.
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Bionic_Squash retweeted
AMD FSR 4.1 to skip RDNA 3.5 integrated graphics videocardz.com/newz/amd-fsr-…
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Welp, i guess no FSR4 on APUs until Medusa
AMD currently says "no" to FSR 4.1 on RDNA 3.5, despite the fact that dGPUs on RDNA 3 and RDNA 2 will get it in July / beginning 2027. hardwareluxx.de/index.php/ne…
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Lmao wtf is Gigabyte doing
Jun 3
1Uで40ノードの集積の化け物みたいなサーバ。 どのような場面で必要になるのか全く想像出来ない
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Bionic_Squash retweeted
Intel's AutoRound post-training quantization is now integrated natively into vLLM-Omni, bringing W4A16 (4-bit) to Omni multimodal, diffusion image, and video models. It cuts Qwen3-Omni-30B from 66GB to 25GB with no quality cliff. Quantize once offline, then serve with the same command as the BF16 model. 📈 Highlights: - weights shrink to ~1/4 of BF16, dropping FLUX.1-dev from 4 GPUs (TP=4) to a single one - accuracy held on OmniBench, with ~1.3% drift on text-to-image - on Intel XPU B60, the freed memory unlocks CFG Parallel for 1.55-1.67x faster guided diffusion 🙌 Thanks to @IntelAI, @HaihaoShen, and the vLLM-Omni team for the collaboration! 🔗 vllm.ai/blog/2026-06-02-vllm…
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At @gskillgaming: ➡️ 0.5 TB of RDIMMs (8 x 64 GB) ➡️ Xeon 698X ➡️ DDR5-10000 !!! ➡️ 512-bit bus ➡️ 602 GB/sec read 🤯🤯
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Bionic_Squash retweeted
Jun 1
Increase performance per watt and enhance efficiency in 5G telco and cloud-native applications. Today, Intel launches #IntelXeon 6 , the first data center CPU built on Intel 18A to help AI go to work. Read the press release: ms.spr.ly/6017vwAGZ
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Bionic_Squash retweeted
Want a sneak peek of what Intel is bringing to Computex?🚀 AI Playground Home Agent is officially available for early testing in our latest v3.1.1-beta! @intel is bringing AI execution out of the cloud and putting it directly in your control, right from your home hardware. Here is what you can do with it today: 📱 True Remote Access: Connect and run your local AI from any device. 💰 Zero Token Costs: Free, unlimited use without subscription fees. 🛠️ MCP Integration: Local AI access and control for 3rd party Model Context Protocol supported apps. 🎨 All-in-One Creation: Advanced chat, image generation, image editing, and video generation powered by 60 curated open-source models. Intel and our OEM partners will be sharing more details at Computex, but you don't have to wait. 👇 Grab the beta, test it out on your Intel Core Ultra, Arc Graphics, or RTX hardware, and let us know what you think! 🔗 lnkd.in/gf8wp9ZM #AIPlayground #IntelCoreUltra #IntelArc #GenerativeAI #OpenSource #Computex2026 #ModelContextProtocol
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Intel: DMR, Crescent island, WCL AMD: FPGAs, MI400 series Nvidia: Vera, Rubin, Spectrum, bluefield and VPU Google, Meta, Microsoft: TPUv8, MTAI 400, MAIA 200 Arm: AGI CPU Fujitsu: Monaka CPU Samsung: LP5X-PIM Sambanova: SN50 Broadcom: Thor ultra IBM: Z and Inference chip
Damn this year's hotchips is packed, so excited for this one
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Damn this year's hotchips is packed, so excited for this one
The Hot Chips 2026 preliminary advance program with presentation titles and affiliations is now available at hotchips.org/ Speaker names and information about keynotes will be added soon.
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Bionic_Squash retweeted
May 28
Introducing Intel Arc G3 Extreme processors. Immersive gameplay. Exceptional battery life. No compromise. Next-gen handheld gaming is here. Learn more: ms.spr.ly/6011vZDcW
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Bionic_Squash retweeted
CPU : 4x C1 Pro 2.6GHz 4x C1 Nano 2GHz Mali G625 MC2 GPU mediatek.com/products/smartp… HOLY FUCK NOT A REBRAND
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Bionic_Squash retweeted
Exynos 2600 Dieshot Thanks By Geekerwans give chip and money Kurnal Layout Geekerwans Video bilibili.com/video/BV1bwVp67…
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Bionic_Squash retweeted
Intel to officially announce Arc G3 for gaming handhelds on May 28 videocardz.com/newz/intel-to…
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Bionic_Squash retweeted
Exclusive: Acer Predator Atlas 8 gaming handheld to feature Arc G3 series videocardz.com/newz/exclusiv…
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Bionic_Squash retweeted
Some more slides upscaled. The whole presentation seems to be AI generated. And this doesn’t look that much different from what AMD is doing, aka core logic over SRAM/PHY/Analog. Interestingly they are doing 3-layer stacking in Kunpeng 960 with top 2 layer being core logic.
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Bionic_Squash retweeted
GA100 80G
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