"Developers are noticing Groq is meaningfully faster and cheaper than any Nvidia solution."
Experience lightning-fast, deterministic AI inference with Groq's revolutionary Language Processing Unit (LPU).
Groq's LPU architecture is an evolutionary leap forward from GPUs, poised to disrupt the A.I. landscape.
As Chamath Palihapitiya noted in his recent interview with Groq CEO Jonathan Ross, "You now see developers stress testing Groq and finding that we are meaningfully, meaningfully faster and cheaper than any Nvidia solution, there's the potential here to be really disruptive."
The Groq Tensor Streaming Processor (TSP) architecture, now referred to as the Language Processing Unit (LPU), is purpose-built for the demands of large language models and offers several key advantages over traditional CPUs and GPUs:
The rapid growth of large language models has created an unprecedented demand for specialized AI hardware. With the size of LLMs increasing by an order of magnitude every year, the need for purpose-built architectures like Groq's LPU has never been greater.
As the world's compute infrastructure shifts towards AI-centric workloads, Groq is positioned to capture a significant portion of this expanding market. With its unique architecture and strong scaling capabilities, Groq's LPU is ready to meet the challenges of the AI era head-on.
Want a deep dive on Groq's technology?
Some recent interviews with Groq's CEO, Jonathan Ross, and head of silicon, Igor Arsovski, that cover everything from the LPU's architecture to its real-world applications.
All In podcast talks about Groq's big week, training vs. inference, LPUs vs. GPUs, how to succeed in deep tech
I invited head of silicon at Groq, Igor Arsovski, to share the nitty-gritty details behind Groq's LPUs!
Cut through the noise with Jonathan Ross, designer of the first TPU at Google..
Groq CEO Jonathan Ross explains how his company's human-like AI chip operates, as CNN's Becky Anderson..
Dive into Groq's Docs and the world of low latency,
large language model engineering
Access Groq's playground, GitHub repositories, and showcase applications to accelerate your learning and build cutting-edge AI solutions.
Explore and experiment with the LPU using the best open-source models. Enjoy a GPT-like interface and store your chat history.
Access Groq's open-source projects, SDKs, and libraries on GitHub. Collaborate with the community and contribute to the development of Groq's technology.
Discover sample apps and demos that showcase the capabilities of Groq's LPU. Get inspired and learn how to build your own applications.
Groq's Unique Position in A.I.
While Groq's LPU technology competes with various players in the AI hardware and software ecosystem, its ability to efficiently run open-source models sets it apart.
Leading GPU manufacturer for AI and gaming
Large CPU and GPU manufacturer competing in AI
Specialized AI chip company with unique LPU architecture
Leading AI research lab and creator of GPT models
AI research company focusing on AI safety and ethics
Groq's revolutionary LPU technology is making waves in the AI community. Here's what people are saying about Groq's performance and capabilities.
‘Groq has a genuinely amazing performance advantage for an individual sequence. This could enable techniques such as chain of thought to be far more usable in the real world.
NVDA CEO thinks their install base of GPUs & devs knowing CUDA is a big moat for their inference business. True, Groq can't immediately build out, but they've done with 45 devs in 100 days what took NVDA 50,000 devs inside & outside the company 10 years
The Groq LPU Inference Engine + unique end-to-end processing will change everything.
Christopher Knight – Customer-Centric Software Leader
I am a versatile software engineer and tech evangelist with a decade of building production software, all stemming from my foundational interest in anthropology. I love to build and lead technical teams, work through complex data integrations, and advocate for developers in ecosystems. My passion for cutting-edge technology and its potential to transform our world has lead me on a multi-year search to align with a company like Groq, and your mission to revolutionize computation with the groundbreaking LPU architecture.
In my current role as a Software Engineering Manager at Guild Education, I lead a team of 7 engineers responsible for data integration with the nation's largest employers such as PepsiCo, Walmart, and Walt Disney. This experience has honed my skills in product management, sales/solution engineering, and managing complex implementation needs with the largest enterprise customers out there.
Previously, as a Developer Evangelist at Xero, I managed open-source SDKs (Open API Spec + Codegen in 6 languages), advocated internally for the ecosystem developers, and managed hundreds of API customers, through sales-centric on-boarding and technical thought leadership in our open source communities. This role strengthened my ability to communicate technical concepts effectively, build strong relationships with developers and partners, and drive adoption of innovative solutions Xero Developer Relations Work
My background spans vendor analysis, software development, team leadership, and developer advocacy. I'm extremely passionate about Groq's mission and feel i'd bring an entrepreneurial drive to the Sales Engineering, GroqCloud & Developer Experience teams. I am incredibly excited about the potential of Groq's LPU technology and would love to explore the opportunity to bring my skills, experience, and enthusiasm to your team.