user1272047gpuetc.hashnode.dev路Nov 25, 2024Differences Between PCI-Express x1 3.0 and PCI-Express x4.Differences Between PCI-Express x1 3.0 and PCI-Express x4: FeaturePCI-Express x1 3.0PCI-Express x4 Number of Lanes1 lane4 lanes Bandwidth per Lane1 GB/s (bi-directional)1 GB/s per lane, total 4 GB/s (bi-directional) Total BandwidthUp to 1 GB...DiscussPCIE
user1272047gpuetc.hashnode.dev路Nov 25, 2024Low-profile PCIe slot and gpuA low-profile PCIe slot refers to the physical size of the card that can be inserted into the PCIe slot. The term "low-profile" does not describe the slot itself (which is a standard PCIe slot) but rather the bracket and card dimensions that are comp...DiscussGPU
user1272047gpuetc.hashnode.dev路Nov 25, 2024Power external PSU for GPU.When using an external PSU, here's how it's connected in a typical setup: 1. Connection to the GPU: The external PSU primarily connects directly to the GPU's power connectors (6-pin, 8-pin, or both, depending on the GPU requirements). Modern GPUs l...Discussexternal-psu
user1272047gpuetc.hashnode.dev路Nov 25, 2024Rank GPUs:Rank GPUs: GPU NameRating (out of 100)Release Year Intel GMA102007 Intel HD Graphics152010 Broadcom VideoCore VI182016 Intel HD Graphics 2500202012 Intel UHD Graphics 600252018 Intel UHD Graphics 605282018 AMD Radeon R2E302015 Intel HD ...DiscussGPU
user1272047gpuetc.hashnode.dev路Nov 25, 2024Connect multiple GPUs to a single system for parallel tasks.To connect multiple GPUs to a single system for parallel tasks, such as machine learning, rendering, or cryptocurrency mining, you need a motherboard with sufficient PCIe slots and power delivery capabilities. Here's how you can set up your GPUs with...DiscussGPU
user1272047programmingetc.hashnode.dev路Nov 23, 2024Rating GPU.Rating GPU. GPU NameRating (out of 100)Release Year Intel GMA102007 Intel HD Graphics152010 Broadcom VideoCore VI182016 Intel HD Graphics 2500202012 Intel UHD Graphics 600252018 Intel UHD Graphics 605282018 AMD Radeon R2E302015 Intel HD...DiscussGPU
Spheron NetworkforSpheron's Blogblog.spheron.network路Nov 22, 2024Enhancing RAG Context Recall with a Custom Embedding Model: Step-by-Step GuideRetrieval-augmented generation (RAG) has become a go-to approach for integrating large language models (LLMs) into specialized business applications, allowing proprietary data to be directly infused into the model鈥檚 responses. However, as powerful as...DiscussAI (Artificial Intelligence)RAG
Sam CejaforLilypad Networkblog.lilypadnetwork.org路Nov 21, 2024馃崈 Lilypad Project Report: November 21, 2024馃寧 Overview Welcome to the latest Lilypad Project Report! We're excited to bring you updates on the strides we鈥檙e making to democratize access to GPU compute and build a robust, decentralized ecosystem that empowers users across the globe. As the ope...Discuss路44 readsLilypad Project Reportcompute
Spheron NetworkforSpheron's Blogblog.spheron.network路Nov 19, 2024Automate Anything on Your PC for Free with Local LLMs and Open-Source No-Code ToolsAutomation is now within everyone鈥檚 reach. From summarizing emails and generating insights to handling data and automating repetitive tasks, some tools let you run these processes directly on your PC without writing a single line of code. Leveraging ...Discuss路2 likes路70 readsLLMllm
Spheron NetworkforSpheron's Blogblog.spheron.network路Nov 18, 2024Ultimate Guide to the Best NVIDIA GPUs for Running Large Language ModelsLarge Language Models (LLMs) like GPT-4, BERT, and other transformer-based models are reshaping AI applications, driving significant advancements across fields. However, running these models requires substantial computational resources, especially fo...Discuss路171 readsNVIDIA
