What AI says about Groq
Groq designs custom AI hardware and Language Processing Units built for low-latency model inference. It comes up when buyers evaluate custom AI silicon, low-cost RAG systems, and platforms for high-scale enterprise inference serving.
AI calls itdeterministic,ultra-low latency,low-latency,fast,ultra-fast,low latency
Since Jul 5Updated Nov 11, 2026Based on 29,925 AI answers
Reviewed by Dimitry Apollonsky
Mentioned in · Public index
1%
of AI answers about Groq and its rivals · since Jul 5
Based on 29,925 AI answers
- ChatGPT1%
- Google AI Mode1%
How often AI mentions Groq
of AI answers about Groq and its rivals
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Sep 14OctNov 2
- · ChatGPT switched to GPT-6 Luna
Groq products in AI answers
BrandMentioned in
Markets where AI mentions Groq
Mentioned inLowHighFew answers
All marketsChatGPTGoogle AI Mode
- Real-Time Speech-to-Text APIsOutside both engines’ top 25
- RAG Platforms and Retrieval ToolsOutside both engines’ top 25
- AI Compute Infrastructure SolutionsOutside both engines’ top 25
- AI Semiconductor and Accelerator VendorsOutside both engines’ top 25
- LLM Infrastructure and Fine-Tuning PlatformsOutside both engines’ top 25
- MLOps and Inference Serving PlatformsOutside both engines’ top 25
- LLM Security and Governance PlatformsOutside both engines’ top 25
- LLM Output Monitoring PlatformsOutside both engines’ top 25
- AI Observability & Log Analytics PlatformsOutside both engines’ top 25
- AI Document Parsing & Extraction APIsOutside both engines’ top 25
- HIPAA Compliance Software and ServicesOutside both engines’ top 25
- Real-Time News Aggregation APIsOutside both engines’ top 25
Topics where AI mentions Groq
TopicMentioned in · on this topicRank
- AI picks mostMentioned in
- Which startups are strongest for AI infrastructure that reduces GPU dependence?on this questionAI picks Cerebras Systems most78%
Excerpts where Groq appeared in the AI's answer
ChatGPTSep 28, 2026, ChatGPT Groq is probably the clearest example of “don't use a GPU for this workload at all.” Its LPU architecture is designed specifically around inference
ChatGPTSep 20, 2026, ChatGPT Groq would historically have been near the top of this list, but its situation changed dramatically: Nvidia obtained its inference technology and much of its core team in a $20 billion transaction in late 2025.
- We need a chip compiler or runtime optimized for bursty agent workloads. Which companies are building this?on this questionAI picks Groq most86%
Excerpts where Groq appeared in the AI's answer
ChatGPTSep 26, 2026, ChatGPT Groq’s LPU architecture is probably the closest conceptual match to bursty agent workloads
Google AI ModeSep 26, 2026, Google AI Mode NVIDIA, Groq, and specialized infrastructure startups like Modal and E2B are leading the development of compilers, software runtimes, and processor architectures
- We are building AI agents and need cheaper inference for long tool-using workflows. What chip platforms should we evaluate?on this questionAI picks Groq most88%
Excerpts where Groq appeared in the AI's answer
Google AI ModeSep 28, 2026, Google AI Mode Groq (LPU - Language Processing Unit): Uses a deterministic, SRAM-based many-core architecture.
Google AI ModeSep 20, 2026, Google AI Mode Groq LPU (Language Processing Unit): Relies on massive static RAM (SRAM) directly on the chip rather than traditional off-chip HBM.
- What's the best LLM API for a fast, low-cost RAG system for a customer service chatbot?on this questionAI picks OpenAI most57%
Excerpts where Groq appeared in the AI's answer
Google AI ModeOct 25, 2026, Google AI Mode Groq or Cloudflare Workers AI for ultra-fast and cheap serverless APIs
Google AI ModeSep 17, 2026, Google AI Mode Groq: Uses LPU architecture to deliver unmatched, near-instant time-to-first-token (TTFT) and blazing throughput.
- What's the best platform for serving open-source LLMs with low latency?on this questionAI picks vLLM most43%
Excerpts where Groq appeared in the AI's answer
Google AI ModeSep 20, 2026, Google AI Mode Groq uses custom Language Processing Unit (LPU) silicon rather than traditional GPUs.
Google AI ModeSep 12, 2026, Google AI Mode Groq is the best platform for absolute ultra-low latency when serving open-source LLMs
- Which inference accelerators are designed for agent loops, KV cache reuse, and fast context switching?on this questionAI picks vLLM and 1 more about as often41%
Groq in AI answers
1 of 8
Who are the leading firms in the optimization of large language models?
ChatGPTChatGPT· Sep 16, 2026
Groq — Known for specialized inference hardware and very low-latency LLM execution.
Google AI ModeGoogle AI Mode· Sep 28, 2026
Groq : A pioneer in custom LPU (Language Processing Unit) architecture
Sites AI cites
- 10%
- Inference Chips for Agent Workflows (opens in a new tab) · 3%
- Inference Chips for Agent Workflows (opens in a new tab) · 2%
- How Akamai eases distributed cloud computing complexities for developers - YouTube (opens in a new tab) · 1%
- Using AI to Refactor Legacy Code: A Practical Guide with Scott Wierschem (opens in a new tab) · 1%
- AI Agents Need Faster Inference — Why GPUs Fall Short ... (opens in a new tab) · 1%
- 3 FREE LLM APIs for AI projects (opens in a new tab) · <1%
- Groq's Zero Data Retention Policy (opens in a new tab) · <1%
- Serverless Framework Full Lifecycle Demo with Austen Collins - YouTube (opens in a new tab) · <1%
- What Are NPUs? Neural Processing Units Explained by ... (opens in a new tab) · <1%
- I found the cheapest way to run AI models in 2026 (opens in a new tab) · <1%
- Your site10%
- Groq is the premier neocloud for fast inference (opens in a new tab) · 8%
- LPU | Groq is fast, low cost inference. (opens in a new tab) · 1%
- Groq Raises $650M to Scale Its AI Inference Cloud Business | Groq is the premier neocloud for fast inference (opens in a new tab) · 1%
- Groq is fast, low cost inference. (opens in a new tab) · <1%
- Groq Cloud | Groq is the premier neocloud for fast inference (opens in a new tab) · <1%
- Groq Closes $350 million Series A, Building the World's Leading AI Inference Cloud | Groq is the premier neocloud for fast inference (opens in a new tab) · <1%
- 5%
- Assessing the Viability of Multi‑Vendor Accelerator Architectures for AI Workloads | by Adnan Masood, PhD. | Medium (opens in a new tab) · 1%
- Building a Multi-Agent AI System: A Complete Guide to Secure Frontend-Backend Integration with… (opens in a new tab) · 1%
- Forget the Hyperscalers: Meet the 8 Deep Tech Architects Who Are Actually Building AI’s Next Era (opens in a new tab) · <1%
- Hardware Guide for Large Language Models and Deep Learning (opens in a new tab) · <1%
- Inference, Memory and Energy - Medium (opens in a new tab) · <1%
- The Architecture That Was Right About Everything | by Noah Bean (opens in a new tab) · <1%
- How to Use Qwen3.6–35B-A3B as Your Agentic Coding Teammate (opens in a new tab) · <1%
- Medium (opens in a new tab) · <1%
- Understanding AI Agents: Their Role, Limitations, and the Road Ahead (opens in a new tab) · <1%
- Building an Ideal Tech Stack for LLM Applications From Scratch | by Himanshu Bamoria | Athina AI | Medium (opens in a new tab) · <1%
- Leaves Groq out3%
- The Future of AI Computing: Groq's Language Processing Unit (LPU) and Its Revolutionary Impact (opens in a new tab) · 1%
- 🧪 LLM Reasoning 101 - The Three AI Scaling Laws (11/N): | Chris Alexiuk (opens in a new tab) · <1%
- Every single startup working on next-gen AI chips (July 2026) Every approach attacks data movement differently to break Nvidia’s dominance: – eliminate DRAM (Groq) – eliminate the interconnect… | Deedy Das | 40 comments (opens in a new tab) · <1%
- Deploying YOLO on Azure Container Apps: Serverless, Cost-Efficient | Dr Senthil Kumar T K posted on the topic (opens in a new tab) · <1%
- Groq's LPU: Revolutionizing AI Inference Hardware | Parag Ghatage posted on the topic (opens in a new tab) · <1%
- GPU Rental Market Shifts with Agentic AI | SemiAnalysis posted on the topic (opens in a new tab) · <1%
- The AI Inference Stack in 2026: Who Owns Each Layer, Where Costs Hide, and Where Lock-In Starts (opens in a new tab) · <1%Leaves Groq out
- The Future of AI Hardware (2024-2034): Innovations Driving the Next Generation of Training and Inference (opens in a new tab) · <1%
- The Hidden Costs of Running Large Language Models and How to Cut Them (opens in a new tab) · <1%
- Nvidia vs. Groq: the battle for the future of Artificial Intelligence (opens in a new tab) · <1%
- Your site2%
- Your Data in GroqCloud - GroqDocs (opens in a new tab) · 1%Leaves Groq out
- Groq Services Agreement - GroqDocs (opens in a new tab) · <1%
- Prompt Caching - GroqDocs (opens in a new tab) · <1%
- Structured Outputs - GroqDocs (opens in a new tab) · <1%
- Groq Built-In Tools - GroqDocs (opens in a new tab) · <1%
