Full-Time
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Groq
201-500 employees
AI inference hardware for efficient processing
No salary listed
Entry, Junior, Mid
Remote in USA
- Humility - Egos are checked at the door
- Collaborative & Team Savvy - We make up the smartest person in the room, together
- Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
- Curious & Innovative - Take a creative approach to projects, problems, and design
- Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq ensures that all its products are designed, fabricated, and assembled in North America, which helps maintain high quality and performance standards. The company targets a wide range of clients who need fast and efficient AI processing capabilities, generating revenue through direct sales of its advanced hardware and related systems. Groq's goal is to deliver scalable AI inference solutions that meet the growing demands of industries requiring rapid data processing.
Company Size
201-500
Company Stage
Growth Equity (Non-Venture Capital)
Total Funding
$2.8B
Headquarters
Mountain View, California
Founded
2016
Simplify's Take
What believers are saying
- Integration with Hugging Face increases Groq's visibility among developers globally.
- Partnership with Samsung Foundry positions Groq as a leader in AI hardware innovation.
- Collaboration with Phonely enhances conversational AI, opening new markets in customer service.
What critics are saying
- Competition from AWS, Google, and Microsoft could limit Groq's market share expansion.
- Dependence on partnerships poses risks if partners switch to competitors.
- North American manufacturing reliance exposes Groq to labor shortages and increased production costs.
What makes Groq unique
- Groq's AI inference technology offers unmatched compute speed and energy efficiency.
- The Groq LPU™ provides deterministic performance, ensuring predictable AI computation outcomes.
- Groq's products are designed and assembled in North America, ensuring high quality standards.
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Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↑ 4%2 year growth
↓ -4%Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more. Groq, the artificial intelligence inference startup, is making an aggressive play to challenge established cloud providers like Amazon Web Services and Google with two major announcements that could reshape how developers access high-performance AI models.The company announced Monday that it now supports Alibaba’s Qwen3 32B language model with its full 131,000-token context window — a technical capability it claims no other fast inference provider can match. Simultaneously, Groq became an official inference provider on Hugging Face’s platform, potentially exposing its technology to millions of developers worldwide.The move is Groq’s boldest attempt yet to carve out market share in the rapidly expanding AI inference market, where companies like AWS Bedrock, Google Vertex AI, and Microsoft Azure have dominated by offering convenient access to leading language models.“The Hugging Face integration extends the Groq ecosystem providing developers choice and further reduces barriers to entry in adopting Groq’s fast and efficient AI inference,” a Groq spokesperson told VentureBeat. “Groq is the only inference provider to enable the full 131K context window, allowing developers to build applications at scale.”How Groq’s 131k context window claims stack up against AI inference competitorsGroq’s assertion about context windows — the amount of text an AI model can process at once — strikes at a core limitation that has plagued practical AI applications. Most inference providers struggle to maintain speed and cost-effectiveness when handling large context windows, which are essential for tasks like analyzing entire documents or maintaining long conversations.Independent benchmarking firm Artificial Analysis measured Groq’s Qwen3 32B deployment running at approximately 535 tokens per second, a speed that would allow real-time processing of lengthy documents or complex reasoning tasks
At the SAFE Forum 2025 in San Jose, Samsung Foundry and Groq unveiled plans to mass-produce what they claim is the world's fastest AI chip in the second half of 2025.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. A three-way partnership between AI phone support company Phonely, inference optimization platform Maitai, and chip maker Groq has achieved a breakthrough that addresses one of conversational artificial intelligence’s most persistent problems: the awkward delays that immediately signal to callers they’re talking to a machine.The collaboration has enabled Phonely to reduce response times by more than 70% while simultaneously boosting accuracy from 81.5% to 99.2% across four model iterations, surpassing GPT-4o’s 94.7% benchmark by 4.5 percentage points. The improvements stem from Groq’s new capability to instantly switch between multiple specialized AI models without added latency, orchestrated through Maitai’s optimization platform.The achievement solves what industry experts call the “uncanny valley” of voice AI — the subtle cues that make automated conversations feel distinctly non-human. For call centers and customer service operations, the implications could be transformative: one of Phonely’s customers is replacing 350 human agents this month alone.Why AI phone calls still sound robotic: the four-second problemTraditional large language models like OpenAI’s GPT-4o have long struggled with what appears to be a simple challenge: responding quickly enough to maintain natural conversation flow. While a few seconds of delay barely registers in text-based interactions, the same pause feels interminable during live phone conversations.“One of the things that most people don’t realize is that major LLM providers, such as OpenAI, Claude, and others have a very high degree of latency variance,” said Will Bodewes, Phonely’s founder and CEO, in an exclusive interview with VentureBeat
In August 2024, Groq secured $640 million in a Series D funding round led by BlackRock, elevating its valuation to $2.8 billion.
MOUNTAIN VIEW, Calif. - May 28, 2025 - Groq today announced an exclusive partnership with Bell Canada to power Bell AI Fabric, the country's largest sovereign AI infrastructure project.