…first DDR5 memory to run at 8000MT/s entirely through JEDEC SPD, enabling true plug‑and‑play operation without XMP profiles or BIOS tuning. The new modules embed their full 8000MT/s…
…the full spectrum of AI workload demands. 6G and AI-RAN: The Hidden Battleground The architectural transformation described above extends far beyond the memory subsystem. Autonomous vehicles, Physical AI, and UAM (Urban…
…frequency on 4-slot configurations and have collaborated with popular memory makers such as ADATA, TeamGroup, and V-Color to ensure full compatibility with CQDIMM memory kits. Apart from D5 Dual X…
…This won't mean much to most gamers or casual enthusiasts, but for memory tuning specialists, it offers additional levers for overclocking and timing adjustments, enabling more capable memory overclocks down the…
…You are looking at a design built around memory constraints from the ground up. Rather than storing the full key and value tensors for every token, MLA projects them into a shared…
…And memory is a strategic asset; you need more memory, you need faster performance memory in order for AI to be able to deliver its full capabilities. This is inference inflection. As…
Memory contract pricing is rising at a rate never seen before, and according to a new report, QoQ quotations have almost doubled amid gigantic demand. DRAM Prices Are Expected to Double This…
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…
Hi HN — I built this in my off-hours over the last 3 months. Sharing now because I just filed the provisional patent yesterday (US 64/050,345) and the repo is freshly public.The frustration that started it: every time I …
Hi HN, I’m announcing a major update for the Turkish Sieve Engine (TSE). We have just published comprehensive and deterministic distribution statistics across the entire 10^14 range.What we've achieved:Full Spectrum Stat…
2026-05-07 edit: I have updated the hardware based recommendations with more focus on quality. I do not recommend q4_0 KV cache anymore beyond 64k context. After multiple rounds of testing with the different size quants,…
Build is done. 16 DGX Sparks on the fabric, all hitting line rate. Setup was time consuming but honestly smoother than I expected. Each Spark runs Nvidia’s flavor of Ubuntu out of the box with mostly everything pre insta…
…how to establish a more economical and scalable memory configuration across GPU, DRAM, and SSD, on-premises. Running large language models today often requires high-end GPUs, creating high deployment barriers and…
…lower memory utilization and intelligent checkpointing. There's also support for Nvidia's NVFP4 format, which can maintain model accuracy while also reducing the memory bandwidth. High-spec only To…
…A memory module maintains user- and project-specific experience that grounds planning decisions in each user's research history. A label-free policy learning converts free-form feedback into persistent parameter updates…
