A startup from Mountain View, the United States that is founded by Jonathan Ross.
High Performance
Groq Chat utilizes Groq technology, which is known for its high-performance computing capabilities, enabling fast processing speeds for real-time communication.
Scalability
The platform is designed to efficiently handle large volumes of data and users, allowing for scalable chat solutions suitable for enterprise environments.
Security
Groq Chat emphasizes security features to ensure that conversations and data are protected, making it a reliable option for businesses concerned about privacy.
Customizability
The service offers a range of customization options to suit different business needs, enabling users to tailor the chat experience to specific requirements.
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The latest comments about Groq Chat on Reddit. This can help you find out how popualr the product is and what people think about it.
We send the question + a compact JSON summary of the user's profile to Llama 3.3 70B (via Groq for latency โ <400ms P95). The system prompt forces a specific output format: {answer: "3", confidence: 0.9} for numeric inputs, {answer: "Yes"} for booleans. Confidence < 0.7 means the bot skips the question (asks the user next session), rather than lie to LinkedIn. - Source: dev.to / about 1 month ago
This is the architecture post-mortem. I built it on weekends. It runs in Docker. It cost me exactly $0 in LLM credits during development because Groq's free tier is generous and Ollama works as a swap-in. The repo is here โ issues and PRs welcome. - Source: dev.to / about 2 months ago
Intelligence Engine: Groq API (Utilizing Llama-3-70b for lightning-fast inference). - Source: dev.to / 3 months ago
A Python-based AI customer support agent that retains memory across sessions using Hindsight โ an agent memory system built by Vectorize. The agent runs on Groq for fast, free LLM inference. - Source: dev.to / 3 months ago
What limits LLM inference accelerators? I heard about Groq (https://groq.com/) not sure how much it pushes away the problem. - Source: Hacker News / 4 months ago
Intelligence: Groq SDK (running Llama 3.3 70B) for near-instant response generation. - Source: dev.to / 4 months ago
Can I use voice notes to write code with an AI agent? Yes. Untether transcribes Telegram voice notes using Groq's Whisper-compatible endpoint, then passes the text to the AI coding agent as a task. Speaking is roughly 4x faster than typing on a phone (150 WPM vs 40 WPM). - Source: dev.to / 4 months ago
Groq Cloud is a cutting-edge AI platform that specializes in ultra-fast inference for large language models. Unlike traditional cloud AI services that can take several seconds to respond, Groq Cloud delivers responses in milliseconds, making it ideal for real-time applications. - Source: dev.to / about 1 year ago
Groq infrastructure is what we'll use for LLM, however other AI providers like Google Gemini, ChatGPT, Copilot, LLaMa, or even offline/on-prem options like Ollama could also be used. - Source: dev.to / about 1 year ago
3. Groq Speed is the name of the game here. Groq gives you lightning-fast inference for smaller models like Llama, Mistral, and DeepSeek. I built a chatbot with it for a friendโs site. Zero lag, instant responses, smooth experience. - Source: dev.to / about 1 year ago
Have you tried any of the ludicrously fast LLM demos yet? https://inference.cerebras.ai/ and https://groq.com/ and https://deepmind.google/models/gemini-diffusion/ (waitlisted) are all 10 to 100x faster than regular models, which really does have a meaningful impact on how I interact with them because I don't have to disengage for 15+ seconds while I wait for a response. I have video demos of a few of those:... - Source: Hacker News / about 1 year ago
Good idea! But try to think of a different name since you will have to deal with Groq (https://groq.com/) and Grok (https://grok.com/). - Source: Hacker News / about 1 year ago
AI has also made high quality language translation a lot cheaper. When I started https://nuenki.app last year, the options were exorbitantly priced DeepL for decent quality low latency translation or Sonnet for slightly cheaper, much slower, but higher quality translation. Now, just a year later, DeepL is beaten by open models served by https://groq.com for most languages, and Claude 4 / GPT-4.1 / my hybrid LLM... - Source: Hacker News / about 1 year ago
So I switched to Groq's llama3-8b-8192 Which has a very generous token and requests, daily limit. You can find all their free and paid tier available models and their rate limits on their website. - Source: dev.to / about 1 year ago
And Haskell is going to make LLMs popular! https://groq.com/. - Source: Hacker News / over 1 year ago
Groq is an AI hardware company advancing high-speed inference for large language models. Founded by former Google TPU architect Jonathan Ross, Groq has developed a unique architecture called the Language Processing Unit (LPU), which is designed to perform well in sequential processing tasks common in natural language processing. - Source: dev.to / over 1 year ago
I've created a Swift SDK for Groq's API that makes it easy to integrate Groq's powerful LLMs into Apple platform applications and Linux servers. https://groq.com/#. - Source: Hacker News / over 1 year ago
Visit the official website of groq here, sign up for a free account and visit the api keys section. Here, click generate api key and copy the key generated , create a env file in the project's root and paste the key in your env file. - Source: dev.to / over 1 year ago
Cerebras and Groq are tackling Nvidiaโs limitations with wafer-scale chips that remove bottlenecks and innovative compute approaches that challenge GPU reliance. Meanwhile, Apple, Google, and OpenAI are investing in custom AI chips to boost performance and reduce dependence on Nvidia, disrupting its long-held monopoly. - Source: dev.to / over 1 year ago
I see and where is https://groq.com/ in this. They used to be the cheapest? - Source: Hacker News / over 1 year ago
Hi friends! I'm pretty tired of engagement bait and all the political nonsense on my x/twitter feed. I was curious if I could use an llm to filter out these type of content, so I prototyped a quick chrome extension. It uses LLama 3.3 to analyze the tweet through https://groq.com/ (because they are super-super fast). The extension is available in the chrome store, also there is a link to the repo. - you can tweak... - Source: Hacker News / over 1 year ago
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World's fastest Large Language Model (LLM)