TensorOpera and Qualcomm accomplice to spice up generative AI improvement


TensorOpera has introduced a know-how collaboration with Qualcomm Applied sciences to ship options to allow synthetic intelligence (AI) builders to construct, deploy and scale generative AI functions. Pairing the corporate’s TensorOpera AI Platform with Qualcomm Cloud AI 100 inference options from Qualcomm Applied sciences, builders will be capable to harness Qualcomm Applied sciences’ superior AI applied sciences featured on TensorOpera AI Platform.

The expansion of open-source basis fashions, together with the supply of sooner and extra inexpensive AI {hardware}, has inspired many enterprises—from startups to massive firms—to develop their very own generative AI functions, offering privateness, management and possession. Many encounter challenges with complicated generative AI software program stacks, infrastructure administration and excessive computational prices for scaling and bringing their functions to manufacturing.

To assist tackle these challenges, builders can look to TensorOpera’s AI Platform complete stack designed to simplify the complexities of generative AI improvement. With the Cloud AI 100’s capacity to facilitate distributed intelligence from the cloud to consumer edge, in addition to its industry-leading power effectivity, portability and suppleness, the TensorOpera AI Platform will be capable to present distinctive performance-per-dollar and value effectivity making it a pretty selection for builders and enterprises.

AI builders now have the chance to entry Cloud AI 100 situations on the TensorOpera AI Platform, designed to allow the usage of well-liked generative AI fashions, together with Llama3 by Meta and Secure Diffusion by Stability AI. They will select from numerous utilization fashions, together with API entry, on-demand (pay-as-you-go), or devoted deployments, whereas utilizing many capabilities like autoscale, complete endpoint monitoring, optimised job scheduling and AI Agent creation.

Salman Avestimehr, the co-founder and CEO of TensorOpera, mentioned, “We’re thrilled to work with Qualcomm Applied sciences. It expands the compute choices for AI builders on our AI Platform. Our work collectively additionally aligns with our shared long-term imaginative and prescient of built-in edge-cloud platforms, which we imagine will drive widespread adoption of generative AI. In step with this imaginative and prescient, TensorOpera will quickly launch its new basis mannequin optimised for smartphones and edge units. Built-in into the TensorOpera AI Platform, this mannequin permits the event of highly effective AI brokers immediately on cell units – a discipline the place Qualcomm has considerably invested by delivering high-performance, environment friendly compute chips for smartphones.”

Rashid Attar, a vice chairman of cloud computing at Qualcomm Applied sciences, mentioned, “With the explosion of latest generative AI fashions, builders world wide are hungry for straightforward, efficient entry to high-performance AI inference for deployment. By combining TensorOpera’s AI Platform with Qualcomm Applied sciences’ Cloud AI 100, builders now have fast entry to deploy the preferred GenAI/Giant Language Fashions – Llama3, Mistral, SDXL – on the push of a button. We’re excited to collaborate with TensorOpera to ship a high-performance inference platform that gives distinctive worth and comfort to builders.”

This know-how collaboration represents a major step in direction of accelerating generative AI deployment and creating new alternatives for innovation. The mixed strengths of TensorOpera’s AI Platform and Qualcomm Applied sciences’ Cloud AI 100 inferencing options will drive progress in AI functions throughout a number of industries. We invite AI builders and enterprises to discover the providers supplied by TensorOpera and Qualcomm Applied sciences. Get began at this time by visiting https://TensorOpera.ai/qualcomm-cloud-ai-100 to use for early entry to Qualcomm-TensorOpera devoted or serverless mannequin endpoints.

Touch upon this text by way of X: @IoTNow_



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