random-access memory
PulseAugur coverage of random-access memory — every cluster mentioning random-access memory across labs, papers, and developer communities, ranked by signal.
- instance of DDR5 SDRAM 90%
- instance of DDR4 SDRAM 90%
- instance of NAND flash 70%
- used by Crucial 70%
- used by Solid State Drive 70%
- used by VRAM 70%
- affiliated with Crucial 70%
- spun off from Crucial 70%
- instance of VRAM 70%
- used by storage 70%
- used by Changxin Memory Technologies 70%
- used by NAND flash 60%
18 day(s) with sentiment data
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Edge device RAM for LLMs: Beyond simple subtraction
Running large language models on edge devices with limited RAM requires careful memory management beyond simply subtracting model file size from total device memory. Factors like the KV cache, operating system overhead,…
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Strata enables 125B MoE LLM deployment across GPU, RAM, and SSD
Strata has developed a method to distribute a 125 billion parameter Mixture of Experts (MoE) model across graphics processing units (GPU), random-access memory (RAM), and Solid State Drives (SSD). This approach aims to …
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Author details LLM workings, from RAM loading to context windows
The author explores the technical underpinnings of Large Language Models (LLMs), detailing how they load into RAM or VRAM for faster processing. They explain the prompting process, where compute spikes as the model gene…
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Guide details running local LLMs on 16GB GPUs
A guide details how to run local large language models on a 16GB GPU, emphasizing realistic expectations regarding VRAM and quantization. The checklist covers hardware considerations, installation of tools like Ollama a…
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PC RAM lifespan: 3-15 years, but performance demands force upgrades sooner
PC RAM modules are expected to last between 3 and 15 years, depending on manufacturing quality and user workload. While the physical components may endure for a decade or more, performance limitations and the evolving d…
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AI discussion on Mastodon mentions AIBrainFry, RAM, Sam, LethalTrifecta, Jensen
This cluster contains a single item from Mastodon discussing AIBrainFry, RAM, Sam, LethalTrifecta, and Jensen in the context of AI. The item is a short post with hashtags related to AI.
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Google's Elephant-Goldfish AI aids software design with memory features
Google has developed a new AI model called Elephant-Goldfish, designed to assist in software development by incorporating memory capabilities and enabling fresh review of code. This development comes as the broader tech…
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User seeks to pool GPUs and RAM across two PCs for LLM inference
A user on Reddit is seeking advice on how to best utilize two PCs for running large language models, specifically focusing on how to pool their resources. The user has one PC with 94GB of RAM and two GPUs (a 5070 TI and…
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PC Upgrade Guide: SSD and RAM Value Assessed
This article discusses upgrading older personal computers by focusing on the value of replacing components like Solid State Drives (SSDs) and random-access memory (RAM). It aims to guide users on which upgrades offer th…
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Fixing slow LLM responses after restarts with llama.cpp KV cache
A technical explanation addresses the performance degradation experienced with long conversations in local LLM applications like llama.cpp after a server restart. The issue stems from the KV cache, which stores processe…
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AI efficiency gains unlikely to lower RAM prices amid surging demand
Despite advancements in AI model memory efficiency, the price of RAM is unlikely to decrease. While techniques like lower KV-cache usage can reduce memory needs per task, the overall demand for memory is increasing due …
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AI hardware faces Von Neumann bottleneck, seeks paradigm shift
The current trajectory of artificial general intelligence (AGI) development is heavily reliant on scaling existing GPU and RAM hardware, which is inefficient and energy-intensive. This approach faces physical limitation…
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Sam Altman reverses stance on AI RAM requirements after criticism
Sam Altman has reversed his stance on the amount of RAM needed for AI models, acknowledging that his previous assertion was incorrect and frustrating. Initially, Altman suggested that AI systems could operate with signi…
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User expresses disbelief at RAM removal from motherboard
This cluster contains a single Reddit post titled "My precious RAM" which features an image of a computer component being removed from a motherboard. The post's text expresses disbelief at the action.
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User shares anecdote about RAM and computers, mentions Sam Altman
The user describes a personal anecdote about their computer hardware, specifically mentioning RAM, a Windows desktop, and a MacBook. They express a sentiment towards Sam Altman, though the context is unclear.
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RAM IS RAM IS RAM
This cluster contains a single item from Reddit discussing RAM. The post is a GIF with the title "RAM IS RAM IS RAM" and does not contain any substantive information about AI models, releases, or industry news.
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Mastodon user humorously asks if 'ddrcrucifix' can ward off Sam Altman
A user on Mastodon humorously questioned whether a specific item, referred to as a "ddrcrucifix," could deter Sam Altman. The post included hashtags related to random-access memory (RAM) and Anthropic, suggesting a play…
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Sam Altman's controversial remarks on guns and RAM spark debate
Sam Altman, CEO of OpenAI, has expressed controversial views on gun ownership and RAM, suggesting that guns should be consolidated with corporations and that RAM should be centrally owned by corporations. These statemen…
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Reddit user questions "resource allocation" concept, drawing parallels between RAM and wealth
A Reddit user argues that the concept of "misallocation of resources" is subjective and can be applied to personal computing hardware as well as wealth. The user questions how consumers can interact with modern operatin…
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New RAMBO Attack Leaks Data from Air-Gapped Computers via Radio Signals
Researchers have developed a novel attack method called RAMBO that can extract sensitive data from air-gapped computers by generating radio signals from the system's RAM. This technique allows adversaries to encode info…