Q2 2023 In Review: A Quarter of Unprecedented Innovation and Collaboration at Bacalhau
It's hard to believe that we are already halfway through the year! From launching Bacalhau 1.0, to hosting the CoD Summit^3, we've made strides in our mission to revolutionize the world of distributed computing. Let's dive into the highlights of this exciting quarter:
Bacalhau 1.0 Release
The quarter kicked off with the much-anticipated release of Bacalhau 1.0, which introduced new features like:
Running Docker & WASM jobs, with GPU support
Multi-architecture support – Intel, Apple Silicon (M1/M2), ARMv6 & ARMv7, AMD64
Support for 1000+ nodes
Running 10k+ jobs simultaneously
100 TB processing across many files
Bacalhau was created to confront the challenges associated with harnessing exponentially growing data through a platform fundamentally designed around distributed architecture. If there are things we can work on to make it better, please let us know!
CoD Summit^3: Igniting the Future of Compute Over Data
In May, the Compute over Data Working Group hosted the CoD Summit^3 in Boston, an event that brought together industry leaders, innovators, and enthusiasts to discuss the future of Compute Over Data. Highlights included the “Compute over Data: State of the Union” address. In it, we highlighted three primary use cases for Bacalhau:
Transforming data before moving it, which reduces the challenges of data migration.
Executing over unreliable networking, which is useful for deploying across various platforms and dealing with network unreliability.
Using data in isolation, which is beneficial for regulated industries and private sharing between organizations.
There were also a number of new features announced including:
Self-hosting: This feature allows users to host their own Bacalhau cluster, which is useful for private data centers or regulated industries.
Insulated Jobs: This feature allows users to submit jobs and outputs in secure enclaves, providing an additional layer of security and privacy.
Enterprise Federated Learning: This feature allows for federated control, security, and auditing in machine learning training processes, reducing the risk of data leakage.
General Availability: Bacalhau has moved from beta to general availability (Bacalhau 1.0), indicating its readiness for broader use.
Other talks included Juan Benet and Molly MacKinlay’s firside on “What lessons should CoD network builders learn from Filecoin?” and Peter Wang’s insightful views on “Evolving Property Rights for an AI Era”. You can catch up on all the talks here.
Bacalhau Projects and Integrations: Expanding Our Capabilities
In the last quarter we worked on a range of projects and integrations to expand Bacalhau's capabilities. This includes Lilypad, a trustless distributed compute network built on Bacalhau; Waterlily.ai, a proof-of-concept application aiming to provide an alternative ethical solution to AI-Art generation; Amplify to automate data engineering tasks; and a Bacalhau Apache Integration, a Python package that integrates Bacalhau with Apache Airflow, enabling you to write complex pipelines for Bacalhau, leveraging the capabilities of both platforms to build scalable and reliable data processing workflows.
Bacalhau Examples and Tutorials
We have also been working on developing examples and tutorials for the community to help you use Bacalhau. These include tutorials on distributed queries with SQLite and Bacalhau, unified data log insights leveraging Bacalhau and Motherduck, and executing DuckDB queries across multiple zones with Bacalhau.
Other great examples for getting started include:
Running Python, Pandas, R, Rust, TensorFlow, PyTorch natively (or any custom container)
Reading simultaneously across many nodes from multiple S3 Buckets
And lots more!
Questions/comments? Let us know!
Thanks for reading,
Your Humble Bacalhau Team
