Home Startup Making generative AI coaching easy and cost-efficient with PeriFlow and Azure

Making generative AI coaching easy and cost-efficient with PeriFlow and Azure

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Making generative AI coaching easy and cost-efficient with PeriFlow and Azure

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Byung-Gon Chun is CEO and founding father of FriendliAI, which helps companies innovate with their generative AI fashions. He’s additionally a professor at Seoul Nationwide College.

Regardless of the potential of generative AI, its use includes appreciable obstacles for startup builders. Builders are thrown into the duty of coaching and serving their fashions, establishing crucial assets and environments, and dealing with faults and efficiency issues. Whereas all these steps are indispensable, they’re additionally extremely time-consuming and expensive. That is the place FriendliAI is available in – it helps streamline the method by permitting startups to construct and serve their generative AI mannequin utilizing the cloud to satisfy their necessities rapidly and effectively.

Constructing FriendliAI

With OpenAI’s launch of GPT3 in 2020, I instantly noticed an immense alternative to make use of my expertise in extremely scalable machine studying programs. With a decade of expertise in distributed computing applied sciences, each as a professor of Laptop Science and Engineering at Seoul Nationwide College and as a Principal Scientist at Microsoft, I used to be excited to discover new alternatives on this realm. Moreover, because the lively commercialization of generative AI started flourishing in several industries, it turned evident that developments in distributed AI computing applied sciences would even be crucial.

FriendliAI logoTwo years in the past, I based FriendliAI to offer startups with easy accessibility to progressive generative AI. We first helped notice this mission by introducing PeriFlow – an answer to coach and serve generative AI fashions effortlessly with exceptional coaching and inference speeds and minimal prices. Our ambition has taken us on an unimaginable journey. We’ve a singular place inside the market as a supplier specialised in generative AI coaching and serving. Consequently, we’re already partnering with a number of shoppers to develop and serve cutting-edge generative AI purposes powered by PeriFlow.

Quick, Handy, and Value-Environment friendly Methods to Serve and Practice Generative AI Fashions

PeriFlow is an automatic platform that handles the ML pipeline from coaching to serving AI fashions. It has efficiently lowered technical obstacles and excessive prices related to generative AI providers because it not solely permits the coaching and inference course of to run easily and cost-efficiently but additionally permits for automation in areas reminiscent of resolving faults and efficiency issues – which might often require tedious handbook monitoring. With PeriFlow, firms, particularly , can relaxation assured that their AI workflow will run at peak effectivity on the cloud; their generative AI inference turns into as much as tens of instances sooner than the standard inference .

Byung-Gon Chun

FriendliAI is a number one instance of how Azure can help startups of their development and success. By Azure’s AI infrastructure and the PeriFlow platform, customers can effortlessly transition cloud providers with out sacrificing efficiency or reliability when scaling generative AI fashions from the laptop computer to the cloud. Numerous organizations depend on the providers that Azure provides – proving its immense worth inside the Microsoft for Startups Founders Hub.

On high of that, PeriFlow helps customers discover probably the most optimum mixture of generative AI fashions and cloud assets in a a lot easier manner permitting customers to scale their fashions in a hassle-free method. With these options, startups can confidently leverage PeriFlow’s coaching and serving capabilities whereas profiting from considerably greater request throughput at minimal prices.

Enabling Human-like Communication at Minimal Prices

One buyer success story consists of ScatterLab’s Luda Lee 2.0, an Open-domain Conversational AI service that has made a significant splash within the expertise business, rising to the highest spot of each Korea’s Google Play and Apple App Retailer. What makes Luda Lee 2.0 extraordinary is its spectacular contextual prowess—this chatbot can acknowledge nuanced semantic variations and reply naturally to buzzwords or jokes, prompting even philosophical replies like “Everyone seems to be valuable no matter race.” With the ScatterLab workforce’s innovation and the PeriFlow platform’s options, the spectacular chatbot now providers a 17X bigger mannequin with exceptional speeds and minimal prices. ScatterLab has set a brand new gold customary for Open-domain Conversational AI providers in Korea.

PeriFlow graphic

Selecting the Excellent Cloud Atmosphere for an AI Platform 

Cloud computing is driving innovation and remodeling the business. With the PeriFlow Platform main generative AI innovation by means of Azure cloud, customers can retain efficiency, connectivity, and suppleness assured on a scalable foundation. These are a number of the Azure providers that PeriFlow has leveraged to supply safe, dependable outcomes:

  • Azure Digital Machines (VMs): Azure helps GPU-enabled digital machines for machine studying coaching and serving. ND and NC VMs are scalable for multi-GPU coaching and serving with high-speed interconnects utilizing NVLink and Infiniband.
  • Azure Blob Storage: Azure Blob Storage permits importing a customized dataset. PeriFlow reads the dataset, trains the mannequin, and creates checkpoints, which periodically ship to the storage for future use within the PeriFlow serving service.
  • Azure Kubernetes Service (AKS): AKS integrates with PeriFlow for deploying serving engines for elastic provisioning, value administration, and safety.

With Azure’s greatest practices in operational excellence, value optimization, and sustainability – Azure provides PeriFlow and its customers the idea crucial for a streamlined expertise configuring manufacturing environments whereas sustaining effectivity and enterprise continuity.

For startups getting began with AI

The brand new wave of AI providers will be intimidating, particularly for early-stage startups. The important thing to our preliminary success had been to remain centered on creating one of the best software program for generative AI, begin small, and work with early generative AI clients to ship and enhance what we offer. This customer-centric viewpoint has been essential for us to maneuver nimbly and keep centered. I’m delighted to be a part of this unimaginable journey and endeavor.

For extra assets for launching your startup and leveraging AI providers like Azure AI or OpenAI, enroll at this time for Microsoft for Startups Founders Hub.

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