Groq delivers AI inference through the world's first LPU chip architecture with deterministic performance. With 3M+ developers and 840+ TPS on Llama 3.1, it achieves 7x faster speed at half the cost of GPU solutions. Ideal for real-time AI applications.




If you've ever struggled with slow AI response times or unpredictable costs when running language models in production, you're not alone. These challenges are exactly why Groq exists—and why over 300,000 developers and teams have already made the switch.
Traditional GPU-based inference was never designed for the real-time demands of modern AI applications. When you're building chatbots that need instant responses, detection systems that must analyze content in milliseconds, or interactive experiences where every millisecond counts, the limitations of repurposed training hardware become painfully obvious. Costs spiral unpredictably, latency varies wildly, and scaling feels like fighting against the architecture itself.
Groq is different. We're the creators of the world's first LPU (Language Processing Unit)—a chip specifically engineered from the ground up for AI inference, not an adaptation of graphics processing technology. This isn't a incremental improvement; it's a fundamental architectural shift that delivers the speed and cost predictability that production AI applications demand.
The LPU advantage starts with our unique design: a single-core architecture paired with hundreds of megabytes of on-chip SRAM as the primary weight storage, eliminating the memory bottlenecks that plague GPU solutions. Our proprietary compiler handles static scheduling, ensuring deterministic execution—meaning you get consistent, predictable latency every single time, not the variable performance that makes capacity planning a nightmare.
This architecture has earned the trust of industry leaders. Companies like Dropbox, Vercel, Canva, Robinhood, Riot Games, Workday, Ramp, and Volkswagen rely on Groq for their most demanding AI workloads. The market has taken notice: in September 2025, we closed a $7.5 billion funding round to accelerate our mission of making fast, low-cost inference accessible to every developer.
Whether you're a startup building your first AI product or an enterprise migrating from legacy solutions, Groq delivers the performance edge that separates exceptional user experiences from frustrating ones.
Every feature at Groq exists to solve a real problem. Here's how our capabilities translate into practical value for your projects.
GroqCloud is our inference platform—global data center deployment powered by LPU architecture delivering the low-latency responses your users expect. Whether you're running customer service chatbots, content moderation systems, or real-time analytics, GroqCloud scales with your needs without the infrastructure headaches.
The LPU chip itself represents everything we believe inference hardware should be: a purpose-built processor with single-core architecture and on-chip SRAM that handles weights directly, eliminating external memory bottlenecks. Our self-developed compiler performs static scheduling, giving you deterministic execution—same latency for the same request, every time. This predictability transforms how you design and deploy AI systems.
OpenAI Compatible API makes migration surprisingly simple. If you're already using OpenAI, switching to Groq takes just two lines of code—change your base URL to https://api.groq.com/openai/v1 and you're ready. No rewrites, no refactoring, just better performance and lower costs.
Prompt Caching addresses a common pain point: repeated context in long conversations. When your cached prompts hit, you get a 50% discount automatically. For applications with extensive system prompts or multi-turn dialogues, this adds up quickly.
Need to process large batches asynchronously? Batch API offers 50% off standard pricing with processing windows from 24 hours to 7 days—perfect for offline inference workloads that don't need immediate results.
For voice applications, our Whisper V3 models deliver transcription at 217-228x speed, while Orpheus TTS synthesizes speech at 100 characters per second across multiple languages.
Don't just take our word for it—here's how teams across sectors are actually using Groq to solve real problems.
AI Detection & Verification is where Groq truly shines. GPTZero, the popular AI detection platform, migrated to GroqCloud and achieved 7x faster inference while cutting costs by 50%—and maintained their 99% accuracy standard. Today they serve over 10 million users with Groq powering their real-time detection. If you're building any AI detection system, this level of performance directly translates to better user experiences.
In financial services, Fintool transformed their customer experience. After switching to Groq, chat speed improved 7.41x and costs dropped by 89%. For financial applications where every second of delay impacts user satisfaction and ultimately revenue, these improvements are transformative.
Sports analytics demands real-time insights, and Stats Perform found exactly that with Groq—their inference runs 7-10x faster than any competitor solution. When you're processing sports data for live applications, that speed difference means the difference between insights that arrive in time and ones that arrive too late.
Gaming companies face unique challenges: players expect instant responses. ReBlink uses Groq to power AI voice interactions in games, achieving 7x faster command response times, 60% higher user adoption rates, and—remarkably—14x lower costs per game session. That's the kind of efficiency that changes business models.
News and intelligence teams at Perigon process millions of articles daily using Groq, achieving 5x performance improvements. For any application dealing with large-scale content processing, Groq's throughput directly enables capabilities that would otherwise be cost-prohibitive.
Mem0, which handles AI memory and context management, reduced latency by nearly 5x using Groq—critical when you're building real-time applications where context retrieval speed directly impacts response quality.
Select your model based on your specific needs: Llama 3.1 8B Instant (840 TPS) for maximum speed on simpler tasks, Llama 3.3 70B for complex reasoning, or GPT-OSS 20B (1,000 TPS) when raw throughput matters most. Our pricing is transparent—pick based on your performance requirements and budget.
Understanding why Groq performs so differently requires understanding our architecture. This isn't a chip designed for graphics rendering that got repurposed for AI—it's something entirely new.
We invented the LPU in 2016 specifically to solve the inference problem. While others were building bigger GPUs and trying to make training chips handle inference, we saw a fundamental opportunity: inference has different characteristics than training, and dedicated hardware could deliver dramatically better results.
The single-core + on-chip SRAM architecture is central to this. We built hundreds of megabytes of SRAM directly onto the chip to store model weights. This eliminates the most significant bottleneck in GPU inference—the constant back-and-forth with external memory. Your weights are right there where the computation happens, not waiting to be fetched across a memory bus.
Our proprietary compiler handles the orchestration. Unlike GPU solutions that rely on dynamic scheduling (figuring out what to do next as they go), Groq's compiler performs static analysis ahead of time. It knows exactly what needs to happen and when, ensuring deterministic execution. Send the same request, get the same latency—every time. This predictability is revolutionary for production systems that need to make guarantees to their users.
Scaling is equally innovative. We developed a plesiosynchronous protocol that coordinates hundreds of LPU chips working in parallel, connected directly to each other without complex switching infrastructure. Our air-cooling design means you don't need the exotic liquid cooling setups that GPU clusters require—simpler infrastructure, lower costs, easier deployment.
The performance numbers speak for themselves:
One of the most refreshing aspects of Groq is our commitment to complete pricing transparency. No hidden fees, no surprise bills, no complicated tier structures that require a spreadsheet to understand. What you see is what you pay.
| Model | Speed (TPS) | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|---|
| Llama 3.1 8B Instant | 840 | $0.05 | $0.08 |
| Llama 3.3 70B Versatile | 394 | $0.59 | $0.79 |
| Qwen3 32B | 662 | $0.29 | $0.59 |
| Llama 4 Scout | 594 | $0.11 | $0.34 |
| Llama 4 Maverick | 562 | $0.20 | $0.60 |
| GPT-OSS 20B | 1,000 | $0.075 | $0.30 |
| GPT-OSS 120B | 500 | $0.15 | $0.60 |
| Kimi K2 | 200 | $1.00 | $3.00 |
| Model | Speed | Price |
|---|---|---|
| Whisper V3 Large | 217x | $0.111/hour |
| Whisper Large v3 Turbo | 228x | $0.04/hour |
| Orpheus TTS (English) | 100 chars/sec | $22/million characters |
| Orpheus TTS (Arabic) | 100 chars/sec | $40/million characters |
| Tool | Price |
|---|---|
| Basic Search | $5 per 1,000 requests |
| Advanced Search | $8 per 1,000 requests |
| Visit Website | $1 per 1,000 requests |
| Code Execution | $0.18/hour |
| Browser Automation | $0.08/hour |
Batch API: Need to process large volumes without real-time requirements? Batch processing delivers 50% off standard pricing with flexible 24-hour to 7-day processing windows.
Prompt Caching: Automatically applied when your cached prompts hit—50% discount on repeat context without any configuration.
Our pricing philosophy is simple: you should be able to calculate your costs before running a single token. No surprises, no mysteries—just straightforward pricing for high-performance inference.
Groq uses an LPU (Language Processing Unit)—a chip specifically designed for inference from the ground up, not a GPU adapted from graphics processing. This architectural difference delivers deterministic, predictable latency rather than the variable performance typical of GPU inference. Our single-core + on-chip SRAM design eliminates memory bottlenecks, and our proprietary compiler ensures consistent execution times.
Getting started takes minutes. Visit console.groq.com to create an account and get a free API key. Our OpenAI-compatible API means you can integrate with just two lines of code—change your base URL to "https://api.groq.com/openai/v1" and add your Groq API key. Our API cookbook at github.com/groq/groq-api-cookbook has ready-to-use examples.
Yes. We publish complete, detailed pricing for every model and tool—no hidden fees, no elastic pricing, no surprises. You can calculate your exact costs before running any inference. Our pricing page at groq.com/pricing has everything laid out in straightforward tables.
Groq supports major open-source models including Llama (3.1, 3.3, 4 variants), Qwen3, GPT-OSS, Kimi, Mistral, and Whisper for speech-to-text. We're continuously adding new models—check our console for the latest additions.
Enterprise customers receive custom API solutions tailored to their scale, dedicated support channels, guaranteed capacity, and customized SLAs. We also offer on-premises options for organizations with specific compliance requirements. Contact our enterprise team at groq.com/enterprise-access to discuss your needs.
Three key advantages: (1) Deterministic latency from our compiler's static scheduling—same request always gets same response time; (2) Superior throughput (up to 1,000 TPS on GPT-OSS 20B) at competitive prices; (3) Efficient scaling through direct chip-to-chip communication without complex infrastructure.
Absolutely. Our OpenAI-compatible API lets you migrate existing applications in minutes. Simply update your base_url to "https://api.groq.com/openai/v1" and add your Groq API key. Your existing code continues to work—you just get Groq's speed and cost benefits.
Groq maintains a Trust Center at trust.groq.com with detailed security and compliance information. We follow industry-standard security practices and provide a vulnerability reporting mechanism at security@groq.com. Enterprise customers can discuss specific compliance requirements directly with our team.
Groq delivers AI inference through the world's first LPU chip architecture with deterministic performance. With 3M+ developers and 840+ TPS on Llama 3.1, it achieves 7x faster speed at half the cost of GPU solutions. Ideal for real-time AI applications.
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