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RealIn order to help enterprise AI systems on the scale, a group of former meta engineers gathered $ 19 million in new investment led by Intel capital.
After ChatGPT launched in November 2022, the enterprises of all sizes looked at the roads that all sizes could embrace the AI. However, Genay relys on large language models for the mind (read efficiency), intelligently demanding wages. All institutions do not have the advantage of making hundreds or thousands of GPUs, to optimize GPU. In addition, enterprises should find the best compatibility for their use and test with multiple models to find subtle models to make the existing AI systems related to their operations.
TrueFoundry addresses all this with a platform that targets fully accumulated information scientists with the existing program under the AS-A-Service model. It provides features like real-time tracking to facilitate the placements of AI to automatically scaling, active repair, centralized access control and end.
Together with Meta Engineers Nikunj Bajaj and IIT Haragpur Batchmate Anuraag Gutgutia, built by past meta engineers in June 2021, trustfoundry, initially offered a cross cloudy program to speed up the location placements. However, the Genay changed the system to support the initial Genay opportunities for the beginning of 2023.
“Previously, information scientists will only work with models and practices, but many placement were handed over to ML engineers. With our system, this case is that it is possible to build this whole complex system and test it on a scale before it turns to the platform team to the platform team can, “he said.
Starting, a program called a Software called AI to help you adjust the use of AI’s GPU and adjusting memory requirements, a program called a solution called solution.
Using the autopilot system, Gutgutia TechCrunch, one of the customers with a small team of Trufoundry, managed 10 million requests per second.
Currently, TrueFoundry has 30 paid customers around the world of “many” users who enter the open-source frame of the open source frame. These customers use the program to build and place agents optimizing GPU giant Nvidia, GPU groups. The med-Tech company resmed, as well as the offer of Trufoundry to develop an internal AI platform. Similarly, Siemens Health, Everywhere is WhatsiFix between automation, game24x7 and customers.
Using the startup KubernTes, using KernnTes, it fits all the basic cloud platforms that are very cloudy ready and other large cloud platforms, including AWS, Google Cloud platforms and others. In addition, enterprises can place the platform locally locally.
Enterprises using Trufoundry have built their internal AI platforms in two months and in four months, unlike 4 months, unlike 14 months, unlike 14 months. Gutgutia has added that the customers delivered around 40-50%, reducing about 40-50% of infrastructure, work on an agent, dwarf, ink deep learning model, or well-tuned model with the improvement of 10 × placement speed.
Cloud vendors began to present their programs to facilitate the building and placement of AI moment models, for example, Amazon’s SageMaker and Google’s Vertexi of the cloud. However, Gutgutia told Techcrunch that it is still eligible for Trufoundry to accelerate the use of computation and reduce the time-market for AI applications and reduce the total costs.
The participation of the angel investors, including the entire capital series, a round serial, ENIAC Virtation, Summit XV partners and jumping capital, as well as Gokul Rajaram, Mohit Aron and Cyan Bainster.
The beginning will use the financial in India to expand a 45-member team, including market positions in India, including market positions in the United States, sales, customer success and product marketing roles. In addition, it is in the process of investing in partners with cloud vendors, and the recording of key cloud markets starting from AWS Marketplace.
In addition, TrueFoundry aims to launch a EI agent that allows you to offer correct resources and automatically scale, as well as to overcome problems.
Trufoundry with fresh financing, including more than $ 21 million $ 2.3 million In September 2022, during the presidency of the generation by the increase in the XV (later Sequoia India).
Starting, last year, the customer base and placed more than 1,000 clusters among customers for the workload of ML. Gutgutia also said that in Techcrunch is “north of $ 1.5 million” and it is twice as low as this year.
