SD Times news digest: ArrangoML Pipeline Cloud, Hyperledger Fabric 2.0, and Pandas 1.0

ArangoDB has announced a new machine learning offering. The ArangoML Pipeline Cloud is a fully-hosted, fully-managed common metadata layer for production-grade data science and ML platforms that runs on ArangoDB Oasis.

“ArangoML Pipeline Cloud meets the needs of both data scientists, who are concerned with the quality of the data, feature training, and model results, as well as DevOps, who need to manage which datasets and deployments are in use, their performance, and how they are being deployed,” ArangoDB wrote in a post.

ArangoDB can easily accommodate and unite unstructured, highly-interlinked data, such as inference and model descriptions and allow relationships between them to be stored as a graph that can be managed by a DevOps engineer and be used by a data scientist at the same time, the company explained.

Hyperledger Fabric 2.0 released

Hyperledger Fabric 2.0’s improvements were focused on new ways to manage the chaincode (or smart contract) life cycle to maximize flexibility, remove bottlenecks and create more options to distribute governance.

Security and data privacy were also big development priorities, so many features and enhancements are geared towards delivering more granular control of private channels and minimizing vulnerabilities, according to the team.

Key Hyperledger Fabric 2.0 features include decentralized governance for smart contracts, new chaincode application patterns for collaboration and consensus, an external chaincode launcher, private data enhancements, state database cache for improved performance on CouchDB, and Alpine-based docker images.

Pandas 1.0 announced

Pandas is a open-source library for easy-to-use Python data structures and data analysis. The new release removed a lot of functionality that was deprecated in previous releases and includes enhancements and new features.

Enhancements include the ability to use Numba in ‘rolling.apply’ and ‘expanding.apply,’ the ability to define custom windows for rolling operations, and creating markdown tables.

Experimental new features include NA scalar to denote missing values, a dedicated string data type, and Boolean data types with missing values support.

The full details are available here.

Stoplight closes $6 million series A funding round

API Design Management company Stoplight announced $6 million in a series A funding round, bringing the company’s total funding to $10 million.

Stoplight plans to utilize the funding to augment engineering efforts, accelerate its product roadmap and cover more customer use cases.

“API-first design is becoming a fundamental component of enterprise engineering, and we have full confidence that Stoplight will only deepen their category leadership in the next several years,” said Mike Smerklo, co-founder and managing director of Next Coast Ventures.

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Adding Lustre Storage to the HPC Equation

For organizations that need extreme scalability in high-performance computing systems, Lustre is often the file system of choice — for a lot of good reasons. When it comes to high-performance computing applications, there is basically no such thing as too much data storage. Who doesn’t need more storage? Everywhere you look, HPC applications are ballooning in size. A few examples: AccuWeather, the world’s largest source of weather forecasts and warnings, responds to more than 30 billion data requests daily.[1] The wave of medical data washing over the global healthcare industry is expected to swell to 2,314 … READ MORE

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Making AI, HPC and GPUs Easier for Data Scientists

With new GPU-ready containers and server infrastructure, organizations are simplifying the deployment of artificial intelligence applications and the clusters they run on. Regardless of the domains they work in, researchers, data scientists and developers want to focus on the work they do, not the systems and tools they use to run their workloads. While that’s a simple proposition, the reality on the ground is often far removed from this ideal world. Those who have built artificial intelligence and other high-performance computing applications from the ground up — starting with bare-metal servers, computing frameworks, software libraries and … READ MORE

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Bakers Half Dozen Episode 3

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 The magic number 3 works its ways to bring us the third episode of Bakers Half Dozen. Matt takes the time to answer: What’s faster…the speed of light or edge computing? What will the new capabilities of 5G unlock and how will they raise the bar for customer expectations? Could Jet Li’s karate kicks become digitized? If you’ve got questions about this episode, or a question you’d like Matt to answer in the next episode, comment below or tweet @mattwbaker using #BakersHalfDozen.   Episode 2 Show Notes: Introduction with Matt Baker Item 1 – Edge Computing ESA: Time delay … READ MORE



ENCLOSURE:https://blog.dellemc.com/uploads/2018/12/BHD3-600×356.png

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The Hottest Cooling Technology for Demanding HPC Systems

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As high-performance computing systems incorporate higher-wattage processors, liquid cooling is gaining momentum. The annual Supercomputing (SC18) conference is always a great showcase for leading-edge technologies for high-performance computing, and that will certainly be the case this year as SC18 gets underway in Dallas next week. One of these technologies in the spotlight will be liquid cooling, which is emerging as one of the keys to even-more-powerful HPC systems. A convergence of trends is fueling the momentum for liquid cooling. For starters, the thirst for higher throughput in HPC clusters is unquenchable. With every new generation of … READ MORE



ENCLOSURE:https://blog.dellemc.com/uploads/2018/11/liquid21000x500-600×356.jpg

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