Using Deadline Cloud, customers in media and entertainment as well as architecture and engineering can leverage AWS compute to render content for TV shows, movies, ads, video games and digital blueprints, said AWS GM of creative tools Antony Passemard.
Deadline Cloud then provisions Amazon Elastic Compute Cloud instances and manages the network and compute infrastructure.
And — for customers with on-premises compute — Deadline Cloud integrates with this compute and uses it to execute rendering jobs.
With Deadline Cloud, customers can link their own third-party software licenses with the service or leverage usage-based licensing for rendering with existing rendering tools (e.g.
As Passemard alluded to, the rise of generative AI has fueled the demand for rendering hardware, too, and led to the creation of entirely new cloud-based, GPU-accelerated providers.
AI2 Incubator, spun out of the Allen Institute for AI in 2022, has secured a windfall $200 million in compute that startups going through its program can take advantage of to accelerate early development.
“Our community of hundreds of AI practitioners are desperate for compute,” said managing director Jacob Colker.
A million dollars of dedicated compute goes a long way for pre-seed startups, which is where AI2 focuses (we’ve covered WellSaid Labs, Xnor.ai, and others from their program).
Colker suggested it would cover most compute needs even for companies developing new foundation models.
They’ve helped build more than 30 startups and last year raised a $30 million fund to continue the work.
When the large cloud providers have excess compute capacity, they tend to discount it through programs like AWS’s and Azure’s spot instances.
While in the recovery room, Surkov shared his idea for a company that would make this excess data center capacity available to developers.
Because of his experience with networking at Cisco and decentralized systems in crypto, Surkov had become interested in why there is so much friction in using decentralized compute.
In addition to these decentralized projects, NodeShift has also set up deals with independent data center operators.
Just on the data center side, the company says, it currently has access to about 400,000 CPUs and 28 million terabytes of storage.
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OpenAI’s Foundry platform is designed for customers running larger workloads, and includes access to GPT-3.5, the latest machine learning model from OpenAI. With Foundry, customers can run models on dedicated…
