Fast, low-cost AI inference platform for running large language models and other AI workloads.
GroqCloud Platform is an AI infrastructure inference service that delivers ultra-fast, low-cost LLM inference powered by Groq's custom-built LPU (Language Processing Unit) chips, with pricing available through a free tier and usage-based paid plans. It targets developers, AI engineers, and enterprises who need production-grade speed and affordability at scale.
Founded in 2016 specifically for inference workloads, Groq pioneered the LPU â the first chip purpose-built for running (rather than training) AI models â and raised $750 million in September 2025 as inference demand surged. The platform now serves more than 3 million developers and teams, with high-profile customers including the McLaren Formula 1 Team, the PGA of America, Fintool, and Opennote. Customer Fintool reported a 7.41x increase in chat speed and 89% cost reduction after migrating to GroqCloud, an illustrative benchmark of the kind of workload economics Groq markets against GPU-based alternatives. Based on our analysis of 870+ AI tools, GroqCloud stands out for focusing exclusively on inference rather than bundling training, fine-tuning, and deployment into a single product.
GroqCloud exposes an OpenAI-compatible API, so developers can swap the base URL to https://api.groq.com/openai/v1 and keep their existing SDK code. The platform hosts popular open models â including day-zero support for OpenAI's open-weight models released in August 2025 â and is optimized for mixture-of-experts (MoE) and other large architectures. Compared to the other AI infrastructure providers in our directory such as Together AI, Fireworks AI, and Replicate, Groq competes on raw tokens-per-second throughput and predictable per-token pricing rather than on breadth of model hosting features or training tooling. It's a specialist platform: best when latency and unit economics are the bottleneck, less ideal if you need an end-to-end MLOps suite.
Was this helpful?
Groq's custom silicon, pioneered in 2016, is the first chip purpose-built for AI inference rather than training. The deterministic, memory-bandwidth-optimized design eliminates the variability that GPUs exhibit on sequential token generation, delivering consistently high tokens-per-second throughput. This hardware-level difference is what underpins Groq's marketing claim of speed 'at a winning cost.'
The GroqCloud API mirrors OpenAI's SDK interface at https://api.groq.com/openai/v1, so developers can migrate existing applications by changing only the base URL and API key. All standard endpoints â chat completions, embeddings, streaming â work with Groq-hosted open models. This dramatically lowers the switching cost for teams already invested in the OpenAI ecosystem.
GroqCloud runs in data centers distributed worldwide so that inference is served close to end users, not just close to the model. This geographic distribution is critical for real-time applications like McLaren F1's decision-support systems, where even small latency additions compound across multi-turn reasoning chains.
As detailed in Groq's May 2025 whitepaper 'From Speed to Scale,' the platform has been specifically tuned for Mixture-of-Experts architectures and other frontier-scale open models. MoE models activate only a subset of parameters per token, a pattern that benefits disproportionately from LPU memory architecture, allowing Groq to serve very large models at costs that would be prohibitive on dense GPU inference.
Groq supported OpenAI's open model release on day zero in August 2025 and maintains rapid integration of new open-weight model releases. For teams that want to experiment with the latest Llama, Mixtral, Gemma, or OpenAI open releases in production, the platform minimizes the gap between model release and production-ready hosted inference.
$0
Per-token usage billing, no monthly minimum
Custom pricing (contact sales)
Ready to get started with GroqCloud Platform?
View Pricing Options âWe believe in transparent reviews. Here's what GroqCloud Platform doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
In September 2025 Groq raised $750 million in new funding as inference demand surged. In August 2025 the platform added day-zero support for OpenAI's open models, and in May 2025 Groq published 'From Speed to Scale,' detailing platform optimizations for Mixture-of-Experts and other large-model architectures. The 3M+ developer community milestone and McLaren F1 partnership remain current marquee references into 2026.
AI Models
Cloud platform for running open-source AI models with serverless inference, fine-tuning, and dedicated GPU infrastructure optimized for production workloads.
AI Platform
Fast inference platform for open-source AI models with optimized deployment, fine-tuning capabilities, and global scaling infrastructure.
No reviews yet. Be the first to share your experience!
Get started with GroqCloud Platform and see if it's the right fit for your needs.
Get Started âTake our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack âExplore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates â