Search Results for "cache memory simulator"
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Showing 12 open source projects for "cache memory simulator"
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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1
gpu_poor
Calculate token/s & GPU memory requirement for any LLM
gpu_poor is an open-source tool designed to help developers determine whether their hardware is capable of running a specific large language model and to estimate the performance they can expect from it. The project focuses on calculating GPU memory requirements and predicted inference speed for different models, hardware configurations, and quantization strategies. By analyzing factors such as model size, context length, batch size, and GPU specifications, the system estimates how much VRAM will be required and how fast tokens can be generated during inference. The tool also provides a detailed breakdown of where GPU memory is allocated, including model weights, KV cache, activations, and other runtime overhead. ... -
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Open Crypto Tracker
Bitcoin Alts portfolio tracker, email / text / alexa / telegram alerts
100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 50 Exchanges / 40 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets... -
3
ChatLLM Web
Chat with LLM like Vicuna totally in your browser with WebGPU
...To use this app, you need a browser that supports WebGPU, such as Chrome 113 or Chrome Canary. Chrome versions ≤ 112 are not supported. You will need a GPU with about 6.4GB of memory. If your GPU has less memory, the app will still run, but the response time will be slower. The first time you use the app, you will need to download the model. For the Vicuna-7b model that we are currently using, the download size is about 4GB. After the initial download, the model will be loaded from the browser cache for faster usage. -
4
Proxy yxorP
Proxy 🦄 .yxorP [v2.1] Plug & Play Stateful SAAS(y), Multi-tenancy
...Additionally, the website content can be optionally spun using the article spinning engine that is already embedded into the application. After the website has been modified the result is then stored for a predefined time inside a custom-built, flat-file cache system architectured to be 500x faster than memory-based cache systems such as Memcache and Redis. This is accomplished by bypassing the serialisation and deserialization processes, which resulted a significantly faster -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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apicache-plus
Effortless API-caching middleware for Express/Node.
Effortless API response caching for Express/Node using plain-English durations. Supports Redis or a built-in memory engine with auto-clearing. -
6
Hazel
Lightweight update server for Electron apps
This project lets you deploy an update server for Electron apps with ease: You only need to click a button. The result will be faster and more lightweight than any other solution out there! Once it's deployed, paste the deployment address into your code (please keep in mind that updates should only occur in the production version of the app, not while developing). Since Hazel routes all the traffic for downloading the actual application files to GitHub Releases, you can use their API to... -
7
esprint
Fast eslint runner
...You can also override the port to start the background server on. esprint will find the root of your project automatically and lint the whole project. In default mode, esprint will start a background server to watch source files and cache lint results in memory. -
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GUN
Cybersecurity protocol for syncing decentralized graph data
GUN is a small, easy, and fast data sync and storage system that runs everywhere JavaScript does. The aim of GUN is to let you focus on the data that needs to be stored, loaded, and shared in your app without worrying about servers, network calls, databases, or tracking offline changes or concurrency conflicts. This lets you build cool apps fast. When a browser peer asks for data, it'll merge the reply with its own data using a CRDT, then cache the result. GUN is fully decentralized... -
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This is a component to create dinamic database queries from a check list view. You can set a db object (views/tables/etc) to select columns to be shown in the main checklist to build a query based in the check selection. Add dinamic (sql) or static HTML selects to filter results through wheres with few lines. Create dinamic XLSX reports easily (XLSXWritter)
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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10
apicache
Simple API-caching middleware for Express/Node
Simple API-caching middleware for Express/Node. A simple API response caching middleware for Express/Node using plain-English durations. Supports Redis or a built-in memory engine with auto-clearing. Because route-caching of simple data/responses should also be simple. Sometimes you need custom keys (e.g. save routes per session, or per method). We've made it easy! All req/res attributes used in the generation of the key must have been set previously (upstream). The entire route logic block is skipped on future cache hits so it can't rely on those parameters. ... -
11
Simple 8-bit Assembler Simulator
Simple 8-bit Assembler Simulator with Angular.js
...It has a lot of simplifications and constraints, but it is the basic structure of every emulator. The console output uses memory mapping and maps a specific portion of the memory to the console. Thus writing to the console output is as simple as writing into a specific memory location. The CPU reads instructions from the memory and executes them. The memory contains our program code and can be used by the program to store data. -
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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