Snap’s GPU-Accelerated Secret to Processing 10 Petabytes a Day | NVIDIA AI Podcast Ep. 298
TrueNAS Closing Source??? Memory Prices Going DOWN??? Nvidia N1X - Talking Heads Ep.427
Executive overview of the 2026 Intel Platform Security Report | Chips & Salsa | Intel
How enterprise PC platforms are evolving for security, AI, and IT scale | Intel
Understanding the AI Tokenomics Equation
Snap’s GPU-Accelerated Secret to Processing 10 Petabytes a Day | NVIDIA AI Podcast Ep. 298
RIP Arc GPUs - Tech News May 3
AMD Ryzen™ AI Halo: Build the AI You Want. Your Stack. Your Rules.
CrowdStrike and Intel deliver secure AI at the endpoint | Intel
MSI Z890 Gaming Plus WiFi6E: Affordable Z890 for Intel Core Ultra | MSI
MSI Z890 Gaming Plus WiFi6E: Affordable Z890 for Intel Core Ultra | MSI
What if scaling AI is no longer limitied by compute but by how everything connects? #RackScale
…This improves the tool’s ability to identify hardware-level memory faults on newer platforms. In addition, decoding for 1R SODIMM modules has been corrected, helping ensure more reliable diagnostic results. Support…
Teamgroup has released its latest Elite DDR5 memory modules featuring high speeds of up to 8000 MT/s, which are ready for next-gen platforms . Next-Gen Platforms Will Support Some Crazy…
…At 4-bit precision you'd need at least 512 GB of memory or about a thousand LPUs to hold a 1 trillion-parameter model in memory. Nvidia says multiple LPX racks…
…Memory bandwidth is another major highlight of the platform. NVIDIA specifies up to 1.2 TB/s of memory throughput and support for as much as 1.5 TB of LPDDR5X memory…
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…
ADATA's Trusta has a new memory solution for AI inferencing, which ends GPU limitations by utilizing system memory and storage such as SSDs. GPUs Running Out of VRAM? ADATA TRUSTA's…
…This approach avoids the non-uniform memory access characteristics common in high-core-count processors, where memory latency can vary depending on data locality. By eliminating NUMA-related variability, the platform is…
…Designed to improve gaming performance through reduced memory latency, EXPO ULL focuses on more aggressive memory tuning while maintaining compatibility with existing AM5 platforms. According to AMD Vice President and Ryzen/Radeon…
…Tying the idea to the entry-level H610 chipset meant it arrived hamstrung, with no memory overclocking, modest supported frequencies, weak VRMs, and PCIe 4.0 on an already aging platform. The…
…to continue supporting growing games on these platforms is, as mentioned above, memory constraints. “It’s really a delight to constantly beat impossible memory constraints with a growing game to allow people…
…With Rubin, the memory alone sees a bump of 435%, jumping from $373,939 in Grace Blackwell to over $2 Million on the Vera Rubin platform. The memory price is combined for…