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MosaicML announces right advance at right time — high-performance, affordable, secure, explainable AI

The company’s two new sets of products will allow developers to deploy generative AI models quickly, easily, and at one-fifteenth the price of other comparable services — in their own secure environments.

We have been enthu­si­astic investors in MosaicML from the start: beginning in 2020, we co-led the company’s first investments on the strength of our belief in CEO Dr. Naveen Rao (above right) and his fellow cofounders like Dr. Hanlin Tang (above left) and key advisors like Dr. Michael Carbin of MIT, who brought profound technical and strategic acumen to a clear goal: to reduce the time, cost, energy, and carbon impact of AI/ML training so that better AI models and appli­ca­tions can be developed.” Naveen, whom DCVC backed as the Series A lead and largest investor in his ground-breaking AI chip company, Nervana (acquired by Intel), has almost two decades of unique insight into all aspects of the AI space.

Since 2020, two things have happened: ChatGPT and other big-tech large language models have taken the world by storm, inspiring equal parts wonder and worry, and Mosaic has become the leading provider of generative AI infra­struc­ture. Today, building on that strength, the company announced two new sets of products — MosaicML Inference, and a foundation series of models — that will allow developers to deploy generative AI models quickly, easily, and at one-fifteenth the price of other comparable services. Critically, these end-to-end products will allow orga­ni­za­tions to train and control large language models in their own secure envi­ron­ments, at multiples of better cost and speed, and to be more likely to achieve alignment and explainability.

This matters tremen­dously, and right now. One of the biggest threats posed by AI’s explosive current growth is the very real possibility of a dark, self-reinforcing cycle whereby the expense of training AI models leads to the concen­tra­tion of power in the hands of a few giant tech corpo­ra­tions, maybe a few favored start-ups in their orbit, and the ultra-wealthy. Such a concen­tra­tion could lead to AI progres­sively becoming less explainable, under­stand­able, and answerable to key stake­holders, from commercial users, to governments, to individual citizens. The near-term threat of AI isn’t AGI or paperclips,” but a host of unex­plain­able, unan­swer­able AI local deities” run on expensive, fragile, over-concen­trated models whose mistakes are opaque and that disempower both commercial customers and ordinary citizens.

Now is exactly the right time for transparent, customer-controlled, secure AI to become affordable and high-performance. With AI training made dramat­i­cally faster and less expensive, it becomes practical for customers to deploy advanced models while under­standing AI behavior and aligning it with stakeholder goals. Combined with MosaicML’s ability for people and orga­ni­za­tions to have secure and transparent local control over models, Mosaic ensures that AI works for all of us, and safely. Given not only AI’s risks, but also its staggering potential for good — it can be the difference in finding the cure for a disease, in fighting climate change, and in making scientific break­throughs we can’t yet imagine — its wise and fair deployment is an imperative of historic proportions.

We couldn’t be prouder of the Mosaic team — for being ahead of its time, just in time.

Matt Ocko is Co-Founder and Co-Managing Partner of DCVC.

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