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Snap’s GPU-Accelerated Secret to Processing 10 Petabytes a Day | NVIDIA AI Podcast Ep. 298
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What if scaling AI is no longer limitied by compute but by how everything connects? #RackScale
…This memory kit and platform will be demoed at the G.SKILL Computex booth. Visitors to Computex 2026 are invited to experience this demonstration and many other next-generation memory innovations at…
Networking / Communications Introducing NVIDIA BlueField-4-Powered CMX Context Memory Storage Platform for the Next Frontier of AI Mar 16, 2026 By Moshe Anschel , Einav Zilberstein , Oren Duer , Kirill Shoikhet and Ronil…
Samsung just showcased its next-gen HBM4E memory along with its PCIe Gen6 SSDs & SOCAMM2 RAM for NVIDIA's current & future AI platforms. Samsung HBM4E Memory Is Ready For NVIDIA's Rubin…
…I also detailed how Meta Platforms had created what amounts to a memory hypervisor, called “Neo,” that stages parameters and embeddings not only across the CPU and GPU memory hierarchies within a…
GIGABYTE joins ASUS and ASRock with HUDIMM memory support on Intel platforms, including 600 series
This started out as an experiment. Reading Simon Willison's blog on where StrongDM was going with dark factories and Digital Twin Universeshttps://simonw.substack.com/p/how-strongdms-ai-team-build-se...I got thinking tha…
Hi HN, I built Agent OS because I was tired of the "orchestration tax" – writing the same safety checks, memory management, and tool-handling code in every AI agent project. What it does: - Visual policy edit…
Hello there HNI experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents.So I created a l…
As the title states, my build is indeed able to run a 1 trillion parameter model (in this case Kimi K2.5) locally at ~4 tokens/second. I thought r/LocalLLaMA would be interested in the build due to that stat line, and al…
…MemKV is designed to mitigate this issue by providing a shared, persistent memory layer capable of microsecond retrieval at the petabyte scale. By maintaining context across inference operations, the platform reduces redundant…
ASUS has become the first motherboard maker to enable AMD's next-gen EXPO 1.2 technology support on its X870 motherboards, bringing faster DDR5 memory standards to Ryzen platforms. ASUS First…
…HBM4 Speeds Scaled-Back Starting with the HBM4 challenges, NVIDIA's Rubin platform features 288 GB of HBM4 memory with up to 22 TB/s of total bandwidth. Micron has already announced…
…But for other platforms to feature this dual memory combination, they need to have older DDR4 controllers on the CPU IMC itself. Arrow Lake and Ryzen 7000/9000 CPUs are only DDR5…
…It's now being brought back, as it is based on the AM4 platform that can still be run on DDR4 memory. Speaking of AM4, the platform is celebrating its 10-year…
…With ongoing constraints on memory supply and rising costs, developers are focused on achieving more with less. The NVIDIA Jetson platform supports popular open models while delivering strong runtime performance and memory…