Audio Processing

Audio Processing has been used for years to detect, decipher, and understand complex language. Unlike Large Language Models (LLMs), which focus on text input, NLP / Audio Processing applications are literally everywhere in our daily lives, as most communication occurs through spoken language. Whether it’s a simple audio-based search, a digital assistant request, language translation, or more, a vast amount of deep learning models power these applications. The resources required to run these models continue to grow, demanding large-scale, multi-GPU servers for processing. Companies often attempt to scale their operations for natural language and audio processing on cloud services such as AWS or GCP, only to find that prolonged usage can be prohibitively expensive.

Cirrascale Cloud Services leverages NVIDIA GPUs for Audio Processing to make groundbreaking improvements across various language and audio applications. Given the immense GPU compute power needed, the Cirrascale Cloud Services innovation cloud is a superior choice for companies needing dedicated, long-term cloud-based servers. You'll be charged one flat rate per month-no ingress or egress fees, no overage charges, no surprises. Plus, we provide a level of support that goes beyond other providers.