Kong announced the launch of the latest version of Kong AI Gateway, which introduces new features to provide the AI security and governance guardrails needed to make GenAI and Agentic AI production-ready.
Continuum Analytics announced a technical collaboration with Intel resulting in the Intel Distribution for Python powered by Anaconda.
Intel Distribution for Python powered by Anaconda was recently announced by Intel and will be delivered as part of Intel Parallel Studio XE 2017 software development suite. With a common distribution for the Open Data Science community that increases Python and R performance up to 100X, Intel has empowered enterprises to build a new generation of intelligent applications that drive immediate business value. Combining the power of the Intel Math Kernel Library (MKL) and Anaconda’s Open Data Science platform allows organizations to build the high performance analytic modeling and visualization applications required to compete in today’s data-driven economies.
By combining two de facto standards, Intel MKL and Anaconda, into a single performance-boosted Python and R distribution, enterprises can meet and exceed performance targets for next-generation data science applications. The platform includes packages and technology that are accessible for beginner Python developers, however powerful enough to tackle data science projects for big data. Anaconda offers support for advanced analytics, numerical computing, just-in-time compilation, profiling, parallelism, interactive visualization, collaboration and other analytic needs.
“While Python has been widely used by data scientists as an easy to use programming language, it was often at the expense of performance,” said Mike Lee, Technical, Enterprise and Cloud Compute Segment Manager, Developer Products Division at Intel Corporation. “The Intel Distribution for Python powered by Anaconda, provides multiple methods and techniques to accelerate and scale Python applications to achieve near native code performance.”
With the out-of-box distribution, Python applications immediately realize gains and can be tuned to optimize performance using the Intel VTune Amplifier performance profiler. Python workloads can take advantage of multi-core Intel architectures and clusters using parallel thread scheduling and efficient communication with Intel MPI and Anaconda Scale through optimized Intel Performance Libraries and Anaconda packages.
“Our focus on delivering high performance data science deployments to enterprise customers was a catalyst for the collaboration with Intel who is powering the smart and connected digital world,” said Michele Chambers, EVP of Anaconda & CMO at Continuum Analytics. “Today’s announcement of Intel’s Python distribution based on Anaconda, illustrates both companies’ commitment to empowering Open Data Science through a common distribution that makes it easy to move intelligent applications from sandboxes to production environments.”
The Intel Distribution for Python powered by Anaconda is designed for everyone from seasoned high-performance developers to data scientists looking to speed up workflows and deliver an easy to install, performance-optimized Python experience to meet enterprise needs. The collaboration enables users to accelerate Python performance on modern Intel architectures, adding simplicity and speed to applications through Intel’s performance libraries. This distribution makes it easy to install packages using conda and pip and access individual Intel-optimized packages hosted on Anaconda Cloud through conda.
Features include:
- Anaconda Distribution that has been downloaded over 3M times and is the de facto standard Python distribution for Microsoft Azure ML and Cloudera Hadoop
- Intel Math Kernel performance-accelerated Python computation packages like NumPy, SciPy, scikit-learn
- Anaconda Scale, which makes it easy to parallelize workloads using Directed Acyclic Graphs (DAGs)
Intel Distribution for Python powered by Anaconda is delivered as part of the Intel Parallel Studio XE 2017. The new distribution is available for free and includes forum support.
Industry News
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Zencoder released its next-generation AI coding and unit testing agents, designed to accelerate software development for professional engineers.
Windsurf (formerly Codeium) and Netlify announced a new technology partnership that brings seamless, one-click deployment directly into the developer's integrated development environment (IDE.)
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, is making significant updates to its certification offerings.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the Golden Kubestronaut program, a distinguished recognition for professionals who have demonstrated the highest level of expertise in Kubernetes, cloud native technologies, and Linux administration.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade internal developer portal based on the Backstage project.
Platform9 announced that Private Cloud Director Community Edition is generally available.
Sonatype expanded support for software development in Rust via the Cargo registry to the entire Sonatype product suite.
CloudBolt Software announced its acquisition of StormForge, a provider of machine learning-powered Kubernetes resource optimization.
Mirantis announced the k0rdent Application Catalog – with 19 validated infrastructure and software integrations that empower platform engineers to accelerate the delivery of cloud-native and AI workloads wherever the\y need to be deployed.
Traefik Labs announced its Kubernetes-native API Management product suite is now available on the Oracle Cloud Marketplace.
webAI and MacStadium(link is external) announced a strategic partnership that will revolutionize the deployment of large-scale artificial intelligence models using Apple's cutting-edge silicon technology.
Development work on the Linux kernel — the core software that underpins the open source Linux operating system — has a new infrastructure partner in Akamai. The company's cloud computing service and content delivery network (CDN) will support kernel.org, the main distribution system for Linux kernel source code and the primary coordination vehicle for its global developer network.