Tensor-Streaming Architecture Delivers Unmatched Performance for Compute-Intensive Workloads
Businesses and governmental entities are increasingly turning to compute-intensive applications, such as machine learning and artificial intelligence (AI), to enhance customer experience, increase competitive advantage, and improve security and safety in communities. However, achieving and maintaining the high-performance processing that these workloads require is extremely difficult due to the growing complexity of hardware processor models.
To gain the benefits of AI, smart infrastructure and predictive intelligence will require a much simpler and more scalable processing architecture that can sustainably accelerate the performance of compute-intensive workloads. A less complex chip design is the answer.
At Groq, we believe that increased processing performance for compute-intensive workloads must also come from simpler, more innovative and efficient technologies, technologies that are explained in the following white paper.
