ClimaCell Delivers Innovative Weather Prediction

Intel® Xeon® Scalable processors and Google Cloud C2 nodes provide performance, flexibility, and AI-readiness for ClimaCell.

At a Glance:

  • ClimaCell offers people and organizations the best weather insights through big data collection and exclusive analysis and modeling approaches.

  • ClimaCell selected Google Cloud’s Compute Engine C2 instances, powered by 2nd Generation Intel® Xeon® processors, with AI acceleration built-in. The solution offers the scalability, performance, and cost-effectiveness needed to process and interpret the broad mix of data.

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Executive Summary
ClimaCell disrupts today’s weather prediction industry with all-new tools and an Application Programming Interface (API) for high precision micro-forecasting. That information helps ClimaCell’s clients make more informed operational decisions to increase efficiency, reduce costs, and minimize employee safety risks. The global API platform runs on Google Cloud Compute Optimized instances (C2) featur­ing 2nd Generation Intel Xeon Scalable processors to deliver a high performance computing (HPC) solution. The combination provides ClimaCell’s unique business model a fast and scalable solution to accommodate massive datasets and artificial intelligence (AI) assisted modeling.

Challenge
In the past, accurate weather prediction proved a daunting task. ClimaCell’s gov­ernment and enterprise clients needed better ways to understand current and future weather patterns. That actionable information helps clients mitigate busi­ness and safety consequences caused by severe weather conditions. ClimaCell’s micro-forecasts gather weather data from government sources, Internet of Things (IoT) devices, connected cars, wireless signals, drones, and other proprietary data. Making sense of the enormous data volumes, and forming accurate predictive models using it, requires HPC systems that can accommodate heavy workloads.

Solution
By incorporating AI into their detailed analysis process, ClimaCell can maximize its predictive services to produce a holistic and highly accurate model of impending weather conditions. After rigorous proof-of-concept testing, ClimaCell selected Google Cloud’s Compute Engine C2 instances, powered by 2nd Generation Intel Xeon processors with AI acceleration built-in. The infrastructure solution offers the scalability, performance, and cost-effectiveness needed to process and interpret the broad mix of data.

Driven by 2nd Generation Intel Scalable Processors, CPU-only C2 machine types offer up to 3.8 GHz of sustained all-core turbo boost. The instances also provide transparency into the architecture of the underlying server platforms, letting users fine-tune the performance. Compared with N1 high-CPU machine types, C2 machine types offer much more computing power, run on a newer platform, and are generally more robust for compute-intensive workloads. The C2 instances also scale globally as needed.

Customers can make reservations to ensure their applications have the capacity required for scale. Together, these features simplify integration and help users derive more value from their hosted environment.

In addition, ClimaCell used Intel® compilers and Intel® MPI with their code to help boost weather forecasting application performance on C2 instances. The Intel® software helps maxi­mize the code’s performance by utilizing the latest hardware instructions (such as Intel® Advanced Vector Extensions 512 (Intel® AVX-512)), optimally use all the cores and memory footprint, and help the code scale without degradation among multiple C2 nodes.

Results
To find the instance that would provide the best micro-forecast performance, ClimaCell performed internal bench­marking of the proof-of-concept solution, comparing a Google Cloud C2 instance with previous-generation N1 clus­ters. With the C2 instances, ClimaCell achieved 40% better price/performance.1, 2 than the N1 instances. The Google Cloud Compute Engine C2 nodes also address ClimaCell’s unique needs for elasticity. The cloud solution can spin up additional nodes whenever workloads require it.

Advanced Cloud-Based Weather Modeling Enables Breakthroughs for Multiple Industries
With real-time insights, ClimaCell’s enterprise customers derive value from the service in multiple ways:

  • A major airline taps ClimaCell data to increase passenger safety and minimize operational costs. With ClimaCell solutions, the airline can determine in advance when extreme weather conditions pose a safety risk or impact flight times. In the winter, micro-predictions can also inform staff if their planes require de-icing before takeoff. By providing insights like these, the airline claims that ClimaCell’s weather prediction technology saves the company $50,000 per month per airport hub.
  • A large investment trust owns power transmission infrastructure across India. In 2020, a cyclone posed an unprecedented safety threat to the region. With the assistance of ClimaCell technology, the company found it was able to predict the path of the cyclone and determine which of its hundreds of locations were at risk. ClimaCell solutions identified the two vulnerable sites, allowing their client to prioritize their attention on the safety and service at those specific locations.
  • A professional football team in the United States depends on ClimaCell to mitigate operational challenges. With insights about the approaching weather, managers can determine the best times to water or paint the football field. They can also plan for snow, or halt operations when lightning storms approach. The team asserts that the combination of benefits reduces the cost of stadium upkeep and reduces risk to staff.
  • ClimaCell.org solutions offer weather prediction capability to the 5 billion people living in regions where traditional weather forecasting technologies do not reach. In parts of Africa, for example, ClimaCell solutions help farmers determine the ideal time to plant crops. With foreknowledge of coming weather, farmers can lessen the cost of field maintenance and maximize crop yields.
  • A class-A railroad uses ClimaCell technology to predict weather patterns that could impact train travel. In one case, the railroad found the weather model predicted 90 mile-per-hour winds along their route of travel. By delaying the trip, the train avoided the possibility of a dangerous and costly derailment.

Key Takeaways

  • ClimaCell’s micro-forecasts derive from a mix of proprietary and publicly available weather data that is combined and processed using HPC-driven AI, simulation, and modeling workloads.
  • With the underlying support of 2nd Generation Intel Xeon Scalable processors and Intel® software, Google Cloud C2 nodes provide a fast, highly elastic, scalable, and AI-ready solution.
  • Google Cloud’s Intel®-based HPC solution provides ideal price-performance for ClimaCell’s unique business service.

Table 1: Google Cloud’s Compute Optimized (C2) HPC Instances3, 4, 5, 6

C2 machine types have the following restrictions:

  • You cannot use regional persistent disks with compute-optimized machine types.
  • C2 machine types are subject to different disk limits than general-purpose and memory-optimized machine types.
  • C2 machine types are only available on select CPU platforms.
  • Caution: C2 machine types do not support GPUs.

Intel® Xeon® Scalable processors are architected to deliver performance leadership across a broad range of demanding workloads. 2nd Generation Intel® Xeon® Scal­able processors are the only data center CPU with AI acceleration built in. The C2 instance with the 2nd Gen Intel Xeon Scalable processor scales up to 60 vCPUs with exceptional memory bandwidth per vCPU.

Spotlight on ClimaCell
ClimaCell offers people and organizations the best weather insights through big data collection and exclusive analysis and modeling approaches. By providing its clients with highly accurate micro-forecasts, ClimaCell solutions offer invaluable business insights. ClimaCell’s patented MicroWeather technology engine gathers Weather of Things data from wireless signals, connected cars, drones, and other devices. By combining that data with proprietary AI-driven models, insights from ClimaCell solutions improve safety, operational efficiency, and profitability.

Spotlight on Google Cloud
Google Cloud solutions help customers solve their biggest business challenges through outstanding technology and a toolset engineered for ease of use. As a leader in cloud services, Google Cloud provides customers a holistic solution for data security, intelligent analytics, and hybrid or multi-cloud solutions. Today, customers in over 150 countries trust Google Cloud to modernize their computing environment to bring ideas, insights, and people together.

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通知および免責事項

インテル® テクノロジーの機能と利点はシステム構成によって異なり、対応するハードウェアやソフトウェア、またはサービスの有効化が必要となる場合があります。実際の性能はシステム構成によって異なります。絶対的なセキュリティーを提供できるコンピューター・システムはありません。詳細については、各システムメーカーまたは販売店にお問い合わせいただくか、http://www.intel.co.jp を参照してください。// 性能に関するテストに使用されるソフトウェアとワークロードは、性能がインテル® マイクロプロセッサーだけに最適化されていることがあります。SYSmark* や MobileMark* などの性能テストは、特定のコンピューター・システム、コンポーネント、ソフトウェア、操作、機能を使用して測定したものです。結果はこれらの要因によって異なります。製品の購入を検討される場合は、他の製品と組み合わせた場合の本製品の性能など、ほかの情報や性能テストも参考にして、パフォーマンスを総合的に評価することをお勧めします。詳細については、https://www.intel.co.jp/benchmarks (英語) を参照してください。// 性能の測定結果はシステム構成の詳細に記載された日付時点のテストに基づいています。また、現在公開中のすべてのセキュリティー・アップデートが適用されているとは限りません。詳細については、公開されている構成情報を参照してください。絶対的なセキュリティーを提供できる製品やコンポーネントはありません。// 記載されているコスト削減シナリオは、指定の状況と構成で、特定のインテル® プロセッサー搭載製品が将来のコストに及ぼす影響と実現されるコスト削減の例を示すためのものです。状況によって異なる可能性があります。インテルは、いかなるコストもコスト削減も保証いたしません。// インテルは、本資料で参照しているサードパーティーのベンチマーク・データまたはウェブサイトについて管理や監査を行っていません。本資料で参照しているウェブサイトにアクセスし、本資料で参照しているデータが正確かどうかを確認してください。// いくつかのテスト結果は、インテル社内での分析またはアーキテクチャーのシミュレーションあるいはモデリングで推定 / シュミレートされており、情報提供を目的として提供されています。システム・ハードウェア、ソフトウェア、構成などの違いにより、実際の性能は掲載された性能テストや評価とは異なる場合があります。

免責事項

1“The new Compute-Optimized VMs offer a greater than 40% perfor­mance improvement compared to current GCP VMs.” Bart Sano, VP of Platforms, Google Cloud. Learn more here.
2From Google Cloud’s CPU platforms page: Learn more here. C2 instance all-core turbo CPU frequency is 3.8 GHz, with the lowest first-generation N1 machine type base frequency being 2.0 GHz. Note, all-core turbo not available for first generation N1 instances. Improve­ment from 2.0GHz to 3.8GHz=40%. Also see https://cloud.google.com/blog/products/compute/expanding-virtual-machine-types-to-drive-performance-and-efficiency
4A vCPU is implemented as a single hardware Hyper-thread on one of the available CPU platforms.
5Persistent disk usage is charged separately from machine type pricing.
6Network egress bandwidth is up to the specified limit. Actual performance depends on factors such as network congestion or protocol overhead.