Introduction of Dedicated Cloud on Azure, W&B Models, W&B Launch, Time Series Support, and Profile Pages to Unleash Value and Ease for ML Developers
SAN FRANCISCO, Oct. 18, 2022 /PRNewswire/ — Weights & Biases today announced significant enhancements to its developer-first Machine Learning Operations (MLOps) platform. The latest additions will accelerate ML activities for enterprises and ML practitioners, providing a seamless, end-to-end MLOps experience from model prototyping to production.
There seems to be a new large ML model grabbing headlines every week. Whether it’s OpenAI’s big releases like GPT-3, Dalle-2, or Whisper, or one of the many open-source projects generating state-of-the-art models, like Stable Diffusion, OpenFold, or Craiyon, these models have found their way into the mainstream. All of the ML teams developing these models use Weights & Biases to debug their models, collaboratively improve them, and accelerate their work.
“As enterprises invest heavily in machine learning infrastructure and workflows become more complex, today’s ML practitioners need a platform that will work across the entire ML lifecycle,” said Shawn Lewis, CTO and Co-Founder, Weights & Biases. “We’re committed to making machine learning work in the real world, all within a platform that will increase productivity and output. By expanding use case coverage, offering new deployment options, adding ML workload orchestration, increasing security investment, and much more, the latest enhancements build on our mission to help all customers succeed with ML.”
In the latest version of the platform, Weights & Biases unveiled:
W&B Models – W&B Models, now available on public preview, is a scalable way to govern ML model lifecycles in a central repository and enable cross-functional discovery and collaboration. With reproducibility and lineage tracking capabilities that allow users to track exactly when a model moved from staging to production, W&B Models ensures customers maintain and ensure a high quality of models in production over time.
W&B Launch – The ultimate tool for ML workload orchestration, W&B Launch allows users to build reproducible ML workflows for agility, team efficiency, and optimized resource utilization. Containerized workflow (Docker and Kubernetes) provides easy reproducibility in any environment, at scale, and rule-based, time-based triggers CI/CD automation of ML workflow.
Time Series Support – New Time Series Forecasting will allow users to optimize the accuracy of complex time series models, including the ability to quickly back-test performance, compare with baseline model performance, and visualize the results in the format and manner that users are accustomed to.
Enhanced 3D Bounding Boxes – W&B continues to expand its first-class support of media types by enhancing 3D Object and Point Cloud logging. Users can log 3D objects and light detection and radar (LiDAR) point clouds, including bounding box annotations, prediction scores, and camera viewpoint. Autonomous vehicle companies, for example, can dynamically visualize LiDAR point clouds, annotate with 3D bounding boxes, and explore interactively with Weights & Biases.
W&B Profile Pages – New W&B Profile Pages let users and teams customize their profile page and build an “ML portfolio” to easily share their work, show their skills, and demonstrate their credibility with the world. Like a GitHub profile for code, the new profiles allow users to control which information is publicly available and customize which projects are highlighted.
Dedicated Cloud – For customers with sensitive use cases or stringent enterprise security requirements, W&B’s Dedicated Cloud provides a secure and flexible managed environment. The company has added support for Microsoft Azure, and now supports managed installations for the three major cloud providers – Azure, GCP, and AWS – to power Enterprise ML Lifecycle Management. Weights & Biases is also available on the AWS, Azure, and GCP Marketplaces, making it even easier for customers to purchase the platform.
Enterprise Security Portal – The new security portal offers a centralized hub to access all W&B security frameworks, regulations, and certifications. This ensures fast compliance with the most stringent security standards – integral for large customers in highly regulated industries.
Corporate Milestones
The platform enhancements build on tremendous traction that Weights & Biases achieved in the last 12 months. The company grew its employee base by more than 80% year over year and expanded operations to EMEA, including adding go-to-market teams in the UK and Germany. On the adoption front, Weights & Biases’ Annual Recurring Revenue (ARR) grew approximately 3x year over year and its net promoter score topped 75.
“We’re dedicated to building and innovating the best products for ML – everything we do is focused on unlocking productivity by optimizing, visualizing, and standardizing model and data pipelines, regardless of framework, environment, or workflow,” said Phil Gurbacki, VP of Product at Weights & Biases. “With strong adoption and satisfaction from our customers to date, we look forward to continuing to delight our users. From more flexible deployment options to customized profiles and the ability to orchestrate ML workloads, today’s new introductions are a significant step in our journey to becoming the system of record for all ML practitioners.”
To learn more about the Weights & Biases developer-first MLOps platform and additional enhancements not highlighted, visit wandb.ai/.
About Weights & Biases
Weights & Biases is the leading developer-first MLOps platform that provides enterprise-grade, end-to-end MLOps workflow to accelerate ML activities. Used by top ML practitioners including teams at NVIDIA, OpenAI, Lyft, Blue River Technology, Toyota, and MILA, Weights & Biases is part of the new standard of best practices for machine learning.
Contact:
PR@wandb.com
View original content to download multimedia:https://www.prnewswire.com/news-releases/weights–biases-bolsters-developer-first-mlops-platform-with-major-updates-including-ml-workload-orchestration-and-enterprise-ml-lifecycle-management-301651763.html
SOURCE Weights & Biases
The bear market has hit these software stocks hard, but the downturn has created rare buying opportunities for investors.
During that time, Roku (NASDAQ: ROKU) and Datadog (NASDAQ: DDOG) have seen their share prices slip 84% and 58%, respectively. For instance, Jason Bazinet of Citigroup has a price target of $125 per share on Roku, implying 164% upside from its 52-week low of $47.27. In this case, the market is consumed by economic uncertainty, so much so that many investors fail to see the long-term potential Roku and Datadog possess.
A bestselling streaming device for just $28, waterproof earbuds for $22 and a smart TV for nearly 40% off: Scoop 'em up while you can.
Just in time for Elon Musk's purchase of Twitter for a cool $44 billion.
The creativity platform has excellent prospects in the long run and significant challenges in the short term.
To help you save time – and in some cases, money – the following are 10 "must-use" little-known iPhone tips, tricks, shortcuts and hacks.
The latest worry comes from new U.S. export curbs on sales to China, adding to jittery nerves over a big slump next year — especially if a recession strikes. Despite the pessimism in 2022, massive amounts of money were spent this year on new chip design research. Cadence Design Systems (NASDAQ: CDNS) offers a good example of this dichotomy.
Sunday was hardly a day of rest for Chainlink (CRYPTO: LINK) investors, as they were busy trading up the niche cryptocurrency. As of mid-afternoon, Chainlink's price had risen by almost 4%; like a certain low-priced crypto in the very recent past, the token seems to be benefiting from an association with a high-profile individual who's involved in the digital currency realm. Chainlink is a token that anchors a network of "oracles," which are node operators that provide reams of data.
Samsung is having an early Black Friday 2022 savings even for Samsung Week 2022 for TVs, tablets, smartphones, and more.
Owing to federal broadband funding for rural areas and next-gen cloud computing, telecom infrastructure stands out as an area of high investment.
The good news is that Apple (NASDAQ: AAPL) is now supporting non-fungible tokens (NFTs) in its App Store. Given Apple's massive influence in the tech world, this would seem to signal the future mass-market adoption of NFTs. The bad news is that Apple's new NFT rules are potentially so restrictive and onerous that there has already been blowback in the crypto community.
Against all odds, Bitcoin (BTC) is back: the original cryptocurrency passed the $20,000 price point this week amidst a major surge in value. The rest of the crypto market has enjoyed the renewed investor confidence this motion has brought.
With every passing moment, the world of technology is evolving. Discoveries are made every day, and people are coming up with innovative ideas that change the ways we see the world.
The firm claims Slashtags will enable web portability and “passwordless” authentication.
These devices deliver very good performance—even without the very latest cameras and processors—for $600 or lessBy Melanie PinolaLooking for a good phone at a reasonable price? Though the cost of…
China's central bank will step up credit support for the real economy while keeping the yuan basically steady, Governor Yi Gang said in comments published on Sunday, reaffirming the bank's existing policy objectives. "We will keep liquidity reasonably ample, increase credit support to the real economy," Yi was quoted by a central bank statement as saying during a parliament session on Friday. "Going forward, China has the conditions to maintain a normal monetary policy as long as possible and maintain the stability of the currency's value."
The Nasdaq has been hammered by some of its biggest tech stocks, drawing comparisons to the dot-com bubble and bust. The problem: Big Tech is still pricey.
Stocks climbed last week, with the S&P 500 jumping 4%. The index is now up 9% from its October 12 closing low of 3,577.03 and down 19% from its January 3 closing high of 4,796.56.
With a downcast earnings season passing the halfway mark, results from pharma and fintech companies will dominate the week ahead.
Learn what distinguishes Roth, traditional, and SEP IRAs from one another and which of these retirement accounts might be the best for you.

source