Xelera Suite accelerates data center and cloud workloads by utilizing DPU and SmartNIC technologies to enhance network throughput and machine learning model performance. This software reduces compute latency and energy consumption, enabling efficient processing for applications in cybersecurity, telecom, and edge computing.
Funding
$1.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data centers and cloud environments face challenges in efficiently processing network traffic and running machine learning models, leading to high compute latency, increased energy consumption, and underutilization of CPU cores. Traditional server architectures struggle to keep pace with the demands of cybersecurity, telecom, and edge computing applications.
Solution
Xelera Suite is a software solution designed to accelerate data center and cloud workloads by leveraging Data Processing Unit (DPU) and SmartNIC technologies. The suite enhances network throughput and optimizes machine learning model performance, resulting in ultra-low compute latency and high data processing rates. By offloading tasks from the CPU to specialized hardware, Xelera Suite reduces energy consumption and frees up CPU cores, leading to significant TCO savings. The software supports network acceleration, including DPU and SmartNIC solutions, and machine learning acceleration for XGBoost and LightGBM models.
Target Audience
Xelera Suite targets data centers, cloud providers, and enterprises seeking to improve the performance and efficiency of their cybersecurity, telecom, and machine learning applications.
Features
- DPU software for 2x100 Gbps network throughput
- SmartNIC software for line-rate Layer-3 security in 100GbE networks
- High-throughput and low-latency inference for XGBoost and LightGBM machine learning models
- Optimized for cybersecurity, high-speed telecom, and cloud networking applications
- Designed for data centers, clouds, and edge computing server workloads