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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
…Traditionally, users have to tweak DDR5 memory parameters from the BIOS to hit 8000 MT/s, which isn't guaranteed on every platform. The GeIL memory makes it possible natively on various…
Reports indicate that Nvidia is initiating an accelerated end-of-supply process for several Jetson embedded platforms, with LPDDR4 memory shortages cited as the primary cause. Information shared by embedded partner Connect…
…Most platforms define vGPU profiles (the memory and compute allocation for each VM) at creation time. Changing them requires rebuilding the VM. MIG: hardware-enforced GPU partitioning Multi-Instance GPU (MIG) is…
…V-Color XFinity+ memory will be available for both AMD and Intel platforms, allowing users to overclock the modules using EXPO and XMP profiles easily. V-Color showcased the memory speeds of…
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…
…Read all comments on Intel Panther Lake CPUs Now Come In Palm-Sized Modules For Embedded Platforms, Support LP5X & LPCAMM2 Memory
…That update increases the platform ceiling to 192GB of memory, with up to 160GB available as VRAM, and raises NPU throughput to up to 55 TOPS. The larger memory pool is one…
SK hynix has showcased its next-gen memory solutions for AI, featuring 48 GB HBM4, SOCAMM2, LPDDR6, and much more for future platforms. SK hynix Empowers Next-Gen AI Platforms With Blazing…
AMD is enabling CUDIMM DDR5 memory support with new AGESA updates & upcoming EXPO 1.2 tech, but only next-gen Ryzen CPUs will enable it. DDR5 CUDIMM Support on AM5 Platforms Limited…
…View MI355X Platform Specs View MI350X Platform Specs 8 MI350 Series GPUs Eight (8) MI355X or MI350X GPU OAM modules 2.3 TB 2.3 TB Total HBM3E Memory 64 TB/s…
Memory is becoming one of the largest cost factors in next-generation AI server platforms. According to estimates cited by Tom’s Hardware, Morgan Stanley expects NVIDIA’s Vera Rubin-based VR200…