Sunnyvale, California: A Breakthrough in AI Inference by Cerebras Systems
In a groundbreaking development in the field of artificial intelligence (AI), Cerebras Systems, a leader in high-performance AI computing, has announced a significant achievement in AI inference speed. The company has surpassed its previous industry benchmarks, delivering an impressive 2,100 tokens per second when working with Llama 3.2 70B. This performance is an astounding 16 times faster than any known graphics processing unit (GPU) solution and 68 times faster than the hyperscale cloud services, as verified by Artificial Analysis, a third-party benchmarking company.
Cerebras Systems continues to redefine the boundaries of AI application, offering Instant Inference for large models, which opens up new possibilities in AI use cases. This advancement enables real-time, high-quality responses, enhances chain-of-thought reasoning, and increases interaction and user engagement. In simpler terms, AI models can now think and respond more like a human, thanks to Cerebras’ cutting-edge technology.
Customer Reactions and Testimonials
Andrew Feldman, the CEO and co-founder of Cerebras, remarked, "Our customers are thrilled with the results! The time to completion on Cerebras is unquestionably faster than any other inference provider. We are excited to see the production applications that will flourish using the Cerebras inference platform."
The impact of Cerebras’ advancements is echoed by various organizations that have integrated its systems. For instance, GlaxoSmithKline (GSK), a global pharmaceutical leader, has stated that Cerebras’ inference speed is pivotal in developing innovative AI applications. Kim Branson, the Senior Vice President of AI and Machine Learning at GSK, mentioned that these applications are set to revolutionize the productivity of researchers and the drug discovery process.
LiveKit, a notable player in the voice AI sector, has also benefitted from Cerebras’ technology. CEO Russ d’Sa highlighted that inference, typically the slowest stage in building voice AI, has become the fastest with Cerebras. This development allows for a seamless transition from speech-to-text to text-to-speech, enhancing the speed and accuracy of voice AI systems.
Audivi AI, focusing on real-time voice interactions, praised the fast inference capabilities of Cerebras. CEO Seth Siegel emphasized that every millisecond counts in creating a smooth, human-like experience, and Cerebras’ technology is instrumental in achieving that, leading to higher engagement and expected return on investment.
Tavus, another innovative startup, transitioned from a leading GPU solution to Cerebras and observed a 75% reduction in end-user latency. The CEO, Hassan Raza, expressed satisfaction with the improved performance, underscoring the significance of Cerebras’ contributions to their operations.
Vellum, yet another beneficiary of Cerebras’ technology, shared similar sentiments about the swift time to completion and the potential for powering new production applications through the Cerebras inference platform.
Cerebras’ Technological Edge
Cerebras’ success is built on its CS-3 system and the Wafer Scale Engine 3 (WSE-3), the world’s largest and fastest AI processor. Unlike traditional GPUs, which often require users to compromise between speed and capacity, the CS-3 excels in delivering top-notch performance for each user while maintaining high throughput. This is primarily due to the WSE-3’s massive size, which allows multiple users to experience exceptional speed simultaneously.
One of the critical challenges in generative AI is memory bandwidth, and the WSE-3 effectively addresses this issue with a memory bandwidth 7,000 times greater than that of the Nvidia H100. This capability is crucial for developers working with large language models and other demanding AI applications. Moreover, the Cerebras Inference API is fully compatible with the OpenAI Chat Completions API, making the migration process seamless with minimal code changes.
Cost-Effective and Accessible AI Solutions
Cerebras Inference is not only faster but also more cost-effective than traditional hyperscale and GPU cloud solutions. This affordability makes high-performance AI accessible to a broader range of users and applications. Interested parties can explore Cerebras Inference and experience its benefits firsthand by visiting the company’s official website.
Cerebras’ Commitment to AI Innovation
Cerebras Systems is composed of a team of visionary computer architects, scientists, and engineers dedicated to accelerating AI development. The company is committed to creating a new class of AI supercomputers, starting with their flagship product, the CS-3 system, powered by the Wafer-Scale Engine 3. CS-3 systems can be easily clustered to form the world’s largest AI supercomputers, simplifying the deployment of AI models by eliminating the complexities of distributed computing.
Cerebras’ solutions are trusted by leading corporations, research institutions, and governments worldwide. These entities use Cerebras’ technology to develop groundbreaking proprietary models and train open-source models with millions of downloads. Cerebras’ offerings are available through the Cerebras Cloud and on-premise, ensuring flexibility and convenience for a wide range of users.
Conclusion
Cerebras Systems is at the forefront of AI innovation, driving the next era of AI applications with unprecedented inference speeds and capabilities. By providing faster, more affordable, and user-friendly AI solutions, Cerebras is poised to transform industries and unlock new possibilities in AI development. For more information about Cerebras Systems and their groundbreaking technology, visit their official website or follow them on LinkedIn and X (formerly Twitter).
In summary, Cerebras Systems has set a new standard in AI inference, offering a combination of speed, efficiency, and affordability that is unmatched in the industry. As AI continues to evolve, Cerebras’ contributions will likely play a crucial role in shaping the future of technology and society.
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