Categories: IoT

TensorOpera and Qualcomm associate to spice up generative AI growth


TensorOpera has introduced a expertise collaboration with Qualcomm Applied sciences to ship options to allow synthetic intelligence (AI) builders to construct, deploy and scale generative AI purposes. 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 quicker and extra reasonably priced AI {hardware}, has inspired many enterprises—from startups to massive firms—to develop their very own generative AI purposes, 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 purposes 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 growth. With the Cloud AI 100’s potential to facilitate distributed intelligence from the cloud to shopper edge, in addition to its industry-leading vitality effectivity, portability and adaptability, the TensorOpera AI Platform will be capable to present distinctive performance-per-dollar and price effectivity making it a sexy selection for builders and enterprises.

AI builders now have the chance to entry Cloud AI 100 cases on the TensorOpera AI Platform, designed to allow using in style generative AI fashions, together with Llama3 by Meta and Steady Diffusion by Stability AI. They will select from varied 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. Consistent 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 allows the event of highly effective AI brokers instantly on cellular units – a discipline the place Qualcomm has considerably invested by delivering high-performance, environment friendly compute chips for smartphones.”

Rashid Attar, a vp of cloud computing at Qualcomm Applied sciences, mentioned, “With the explosion of latest generative AI fashions, builders world wide are hungry for simple, 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 quick 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 expertise 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 purposes throughout a number of industries. We invite AI builders and enterprises to discover the companies supplied by TensorOpera and Qualcomm Applied sciences. Get began in the present day 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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