AI-based data center optimization startup MangoBoost raises $55M Series A

MangoBoost, an AI-based data center optimization startup, has raised $55 million in Series A funding. The round was led by Addition, with participation from existing investors Nexus Venture Partners and Qualcomm Ventures.

MangoBoost’s platform uses AI to optimize data center performance and efficiency. The platform can help data centers to reduce their energy consumption, improve their performance, and extend the lifespan of their hardware.

MangoBoost’s platform is already being used by a number of large data center operators, including Google, Microsoft, and Amazon. The company’s customers have reported that they have been able to reduce their energy consumption by up to 20% and improve their performance by up to 10% by using MangoBoost’s platform.

MangoBoost’s funding round will help the company to expand its team and develop new features for its platform. The company plans to use the funds to hire more engineers and sales staff, and to develop new AI models that can be used to optimize data center workloads.

MangoBoost’s platform is a significant development in the field of data center optimization. AI has the potential to revolutionize the way that data centers are managed and operated. MangoBoost’s platform is one of the first to use AI to optimize data center performance and efficiency.

Here are some potential benefits of using MangoBoost’s AI-based data center optimization platform:

  • Reduced energy consumption: MangoBoost’s platform can help data centers to reduce their energy consumption by up to 20%. This can lead to significant cost savings for data center operators.
  • Improved performance: MangoBoost’s platform can help data centers to improve their performance by up to 10%. This can lead to improved customer satisfaction and increased revenue for data center operators.
  • Extended hardware lifespan: MangoBoost’s platform can help to extend the lifespan of data center hardware by reducing its workload. This can save data center operators money on replacement costs.
  • Reduced environmental impact: By reducing energy consumption and extending the lifespan of hardware, MangoBoost’s platform can help to reduce the environmental impact of data centers.

Overall, MangoBoost’s AI-based data center optimization platform has the potential to save data center operators money, improve performance, and reduce their environmental impact.

Here are some additional insights from the press release:

  • MangoBoost’s platform is based on a proprietary AI engine that has been trained on a massive dataset of data center performance data. This AI engine is able to identify and optimize potential bottlenecks in data center workloads.
  • MangoBoost’s platform can be deployed on any data center infrastructure, regardless of the underlying hardware or software. This makes it easy for data center operators to start using MangoBoost’s platform to optimize their workloads.
  • MangoBoost’s platform is a cloud-based service, which means that there is no need for data center operators to install or maintain any software or hardware.

The global data center market is expected to grow from $184.3 billion in 2022 to $311.1 billion by 2028. The growth of the data center market is being driven by the increasing demand for cloud computing and big data analytics.

MangoBoost is well-positioned to capitalize on the growth of the data center market. The company’s AI-based data center optimization platform can help data center operators to save money, improve performance, and reduce their environmental impact.

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