
MangoBoost
Providing Data Processing Unit (DPU) Hardware and Software Solutions.
USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
Related Content
MangoBoost.io is a tech startup that specializes in enhancing the performance and scalability of datacenters. They achieve this through their proprietary Data Processing Unit (DPU), which is designed to improve application performance while reducing the costs associated with CPU and server infrastructure. This makes datacenters faster, more efficient, and cost-effective.
Their target market includes businesses that rely heavily on datacenters, such as those in the big data, AI, and cloud applications sectors. These businesses are increasingly transitioning towards virtualization and distributed models, and MangoBoost's DPU is designed to support these complex requirements.
MangoBoost's business model revolves around providing fully programmable solutions that cover many market-critical services. They also offer a Software Development Kit (SDK) that allows developers to offload and accelerate datacenter workloads using the DPU. This SDK provides user-friendly APIs, libraries, and an industry-standard runtime environment.
Another key aspect of MangoBoost's offering is their innovative composable DPU structure. This allows them to rapidly modify the design to meet customers’ specific service requests, producing best-fit products with optimized performance and costs.
MangoBoost also addresses the "AI tax," which refers to system overhead tasks like data processing and network protocols that can slow down AI applications. Their DPU offloads these operations for optimal computation, as demonstrated with NVIDIA Triton.
In summary, MangoBoost.io is a promising startup that offers scalable, fast, and cost-effective solutions for datacenters, with a focus on improving application performance and reducing infrastructure costs.
Keywords: Datacenters, Scalable, Fast, Cost-effective, Data Processing Unit, Software Development Kit, AI tax, Composable DPU structure, User-friendly APIs, NVIDIA Triton.