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MemVerge | September 22, 2021
MemVerge, the pioneers of Big Memory software, announced Memory Machine™ Big Memory virtualization software has been selected by Penn State Huck Institutes of the Life Sciences to speed the genomic analytic processing for plant DNA research to develop more sustainable plant products.
At the forefront of research and development, Penn State Huck Institutes of the Life Sciences seeks to find solutions to pressing health and agriculture issues and their interaction with the environment. To achieve this, Penn State has become a go-to place for analyzing and accessing dispersed and large data in an effort to facilitate transformative life sciences discoveries by enabling path-breaking research, simulating innovation, and inspiring work in a collaborative environment.
Among its flagship research projects is the analysis of plant DNA sequencing to identify opportunities to develop plants - from cocoa to apples - that can better sustain droughts, diseases and achieve longer transportation and shelf life, which is important to improve food supplies for third world nations. To achieve this research, the bioscientists at Penn State must analyze genome sequences that are even more complex than human genomes. Using traditional analytic methods, it could take weeks to process specific workloads and running jobs can often fail as data is much larger than the available compute memory.
Using MemVerge Memory Machine memory virtualization software, Penn State has been able to accelerate discovery for its plant DNA research. By deploying a pool of software-defined DRAM and persistent memory (PMem), the life sciences institute has been able to speed the completion of their analytic pipeline and run jobs that it hasn't been able to process before.
"MemVerge Memory Machine has been a game-changing technology for our plant DNA research," said Claude dePamphilis, Director of the Center for Parasitic and Carnivorous Plants at Penn State Huck Institutes of the Life Sciences. "The innovative technology helps us achieve DRAM-like performance from a mixed memory configuration. This has not only dramatically increased our time to research findings but has also saved us considerable budget in the process."
Memory Machine software provided scientists at Penn State with transparent access to virtualized DRAM and PMem memory and ZeroIO™ Snapshot technology. The in-memory snapshot technology allows researchers to roll back workloads quickly to specific points in time for adaptive analyses and ensure resilience with lightning-fast crash recovery. This allows new genomic testing to continue without downtime.
"The genomic sequencing use case at Penn State is an exceptional example of how Big Memory technology can overcome the barriers presented by the 'data bigger than memory' problem," said Charles Fan, CEO of MemVerge. "By eliminating the boundaries of traditional compute infrastructure and creating a memory fabric that can cost-effectively support the memory-intensive processes applications such as genomics analytics require, we are changing the landscape of what is possible. Memory is no longer a limitation for applications such as genomics sequencing, in-memory databases and other data-intensive usages such as animation and VFX. We're opening the door for increased innovation, landmark research findings and better health outcomes."
MemVerge Memory Machine makes 100% use of available memory capacity while providing new operational capabilities to memory-centric workloads. Memory Machine answers the need for a modern in-memory computing model to support emerging applications that require real-time analytics, true in-memory computing, and fault-tolerant memory persistence to speed massive processing workloads.
About MemVerge
Memory is too small. Storage is too slow. In response, MemVerge is pioneering the new category of Big Memory Computing that simultaneously delivers the nanosecond performance of memory with the massive capacity of storage. MemVerge® Memory Machine™ Software transparently virtualizes different types of memory hardware into a pool of software-defined memory with the same performance of DRAM, but with many times the capacity. On top of the transparent memory service, Memory Machine provides the industry's first suite of data services that can provision petabytes of capacity, performance, availability, and mobility at the speed of memory and across the clouds.
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SERVER VIRTUALIZATION
Neon Labs | December 30, 2021
Neon, an Ethereum virtual machine (EVM) on Solana that enables dApps on Ethereum to scale and access liquidity on Solana, announced that it has integrated the Pyth network, a next-generation oracle platform designed to provide trusted and verifiable market data to decentralized applications, enabling all EVM dApps running on Solana to access Pyth’s HiFi data.
The partnership between Pyth and Neon Labs allows data from the Pyth oracle to be instantly accessible and easily readable to Solidity developers and dApp users alike via the Neon EVM on the Solana network. In addition to Pyth pricing information, EVM developers will have the opportunity to discover a new type of oracle that provides a confidence interval alongside its price. The confidence interval specifies how much precision or uncertainty there is in a single observation and thus enables developers to further customize their applications for better and safer operations.
dApps have long been seeking a high-quality oracle like Pyth to consume data sources necessary to function and this partnership gives them just that. We are excited to deliver a data oracle solution to developers, and one that is easy and quick for them to use.”
Andrey Falaleev, Chief Technology Officer of Neon Labs
The Pyth network is a next generation oracle specifically designed to publish high fidelity financial market data on the Solana blockchain and republish that data to other blockchains through Wormhole. Using the Pyth network, data owners will be able to contribute their data, and consumers of data will be able to acquire that aggregated market data and consume it directly from a blockchain.
Neon is a tool that allows any Ethereum dApps – from lending protocols and AMMs – to be processed with the low gas fees, high transaction speed, and high throughput of Solana, while also offering access to the growing Solana market. Over the past several months, the company has experienced significant milestones. Last month, Neon announced a $40 million fundraising round to bring Ethereum virtual machine functionality to the Solana blockchain and is preparing to launch its mainnet alpha imminently. Many prominent protocols like Aave and SushiSwap have announced that they will port their protocols to Solana through Neon Labs.
"I know I speak for dApps everywhere when I say that this is partnership is a real game changer,” said Marco Qiu, BD of Yin Finance. “We are especially excited to access high-quality data on Solana without having to modify or alter our existing code."
"This integration is a huge step for Ethereum and Solana interoperability,” said Sidney Powell, Co-founder of Maple Finance. “Data oracles like the Pyth network serve as the connection between blockchains and the data sources necessary for dApps like us.”
“Neon is bridging the divide between two leading blockchains,” said Mike Cahill, Director of the Pyth Data Association. “We look forward to working with them as their first oracle integration to increase access of Pyth data to dApps while offering them a seamless user experience in the process.”
The Pyth network has gathered more than 40 prominent financial actors as data publishers for various asset classes. Pyth price feeds have been available on the Solana mainnet since August 2021 and leading Solana dApps like Bonfida, Drift, Hxro, Mango Markets, Saber Labs, Solend, Synthetify, Port, and Zeta Markets have integrated with Pyth network to strengthen their protocols' uptime guarantees and automate critical on-chain functions in a highly reliable, fully decentralized, and cost-efficient manner.
About the Pyth Network
The Pyth network is a specialized oracle solution for latency-sensitive financial data that is typically kept behind the “walled gardens’’ of centralized institutions. The Pyth network is focused on finding a new and inexpensive way to bring this unique data on-chain and aggregating it securely.
About the Pyth Data Association
The Pyth Data Association was created in support of the Pyth network, a specialized oracle solution for latency-sensitive financial data that is typically kept behind the “walled gardens’’ of centralized institutions. The Pyth Data Association is overseen by a board of directors elected by members of the Pyth network.
About Neon
Neon lets users run any Ethereum protocol on Solana, without any changes to its codebase. In other words, Ethereum developers can soon deploy their apps to Solana, a blockchain that can process 50K transactions per second at $0.0025 a piece.
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SERVER VIRTUALIZATION
VIAVI | November 10, 2020
Viavi Solutions Inc. (VIAVI) (NASDAQ: VIAV) today announced enhancements to the VIAVI OneAdvisor-800 all-in-one tool to streamline cell site maintenance of 5G and 4G technologies. With the addition of 5G NR and 4G LTE signal analyzer functionality to the award-winning OneAdvisor-800, field technicians can efficiently deploy, integrate and troubleshoot today's multi-technology networks with a single instrument.
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