AI Infrastructure Alliance Forms
March 1, 2021
AI Infrastructure Alliance (AIIA) is a non-profit organization with 25 global
members officially launched with the mission to create a robust collaboration
environment for companies and communities in the artificial intelligence (AI)
and machine learning (ML) space. This global Alliance brings together top
technologists across the AI spectrum and includes a wide range of member
companies. Together, these companies and communities provide a glimpse into the
future where AI creates real value for everyday businesses and not just big tech
Partnerships in the Alliance will help create a Canonical Stack for AI, by
driving strong engineering standards and creating seamless integration points
between various layers of the AI infrastructure ecosystem. Canonical means "a
set of rules, standards and principles by which something is judged,” and a
Canonical Stack (CS) for AI will set the standard for how enterprises develop
and design machine learning models at scale. It will let data scientists and
data engineers move up the stack to solve more complex, higher order problems,
instead of reinventing the wheel on every data science project.
The AI and ML space currently lacks a standard set of tools and solutions,
blocking data science teams from sharing their work and collaborating across the
world. Rather, there is wild proliferation of proprietary, cloud lock-in
solutions that benefit individual companies, but not the data scientists and
engineers building the AI applications of today and tomorrow. The Alliance came
together to help those data science teams break out of lock-in so they can build
on top of a standardized, open platform that works across all of their
"Time and again, I've seen development teams get excited about the potential of
AI to transform their business and applications, only for them to get stopped
dead in their tracks by a fragmented and confusing array of technologies with
little to no integration," said Dan Jefferies, Director of the AIIA. "Despite a
massive surge of partial solutions, no single tool exists that lets teams
leverage the true power and potential of AI. The AI Infrastructure Alliance will
help create clarity in this confusing space by building a cohesive framework and
bringing together leaders and innovators to help set the standard for how data
science teams build models now, and into the future."
The AI Infrastructure Alliance provides a range of benefits to member
companies including opportunity to:
– Individual data scientists and data engineers get together in the real world
and the digital world to connect, network, learn, share, and find jobs and
CREATE – AI infrastructure software creators will work with other vendors to
define engineering standards and drive adoption for their tools.
INTEGRATE – Solutions Integrators will help enterprises incorporate AI/ML into
businesses and products.
ADOPT – Engineering and C-suite leaders will receive guidance and support as
they look to make platform and tooling decisions for their teams.
NETWORK – Thought leaders, VCs, industry analysts and others can keep up to date
with the latest industry trends, discover best practices, network and exchange
information with their peers.
“Creating a place for top AI companies to work together will speed development
of the infrastructure that businesses really need to make the promise of AI a
reality,” said Joey Zwicker, Co-Founder of Pachyderm, a founding member of the
AIIA. “As the Canonical Stack comes together, it will vastly reduce time to
value for any company, in any industry, that’s leveraging AI across their
Core founding members include Pachyderm, Seldon, Determined AI, Algorithmia,
Tecton, ClearML by Allegro AI, Neu.ro, ZenML by Maiot, DAGsHub, TerminusDB,
WhyLabs, YData, Superb AI, Valohai, Superwise.ai, cnvrg.io, Arize AI, CometML,
Iguazio, UbiOps, and Fiddler. These companies have raised over $200M in
collective venture capital funding from top firms including Andreessen Horowitz,
Sequoia Capital, GV, Benchmark, NorWest Venture Partners, Madrona Venture Group
and Gradient Ventures.