How EGS transforms distributed GPU infrastructure into a unified, policy-driven AI Grid — with intelligent workload placement, DPU-accelerated connectivity, distributed inference, fine-tuning, and hardware-enforced multi-tenancy across every compute tier.

We are proud to announce the release of Smart Karpenter version 1.2.0, which went live on December 5, 2025. It’s our next-generation autoscaling solution designed to simplify Kubernetes scaling, reduce cloud costs, and enable DevOps teams to focus on building rather than constant tuning.

We're excited to announce the release of Smart Scaler version 2.17.0, our latest major update that is live as of Dec 8, 2025 and a later update that is live as of Jan 20, 2026. The major and update version releases are aimed at enhancing predictive scaling capabilities in Kubernetes environments. This version introduces new features and improvements designed to optimize resource utilization, reduce costs, and provide better visibility into your cluster operations.

Elastic Grid Service (EGS) is a multi-cluster, multi-site GPU orchestration and workload distribution platform for Kubernetes, enabling cross-cluster GPU scheduling with granular allocation and full lifecycle management.

We are proud to announce the release of Smart Karpenter version 1.0.0, which went live on April 2, 2025. It’s our next-generation autoscaling solution designed to simplify Kubernetes scaling, reduce cloud costs, and enable DevOps teams to focus on building rather than constant tuning.

We are proud to announce the release of Smart Karpenter version 1.1.0, which went live on September 12, 2025. It’s our next-generation autoscaling solution designed to simplify Kubernetes scaling, reduce cloud costs, and enable DevOps teams to focus on building rather than constant tuning.

Avesha Enterprise GPU Service (EGS) is a comprehensive solution for managing and optimizing GPU resources in data centers and cloud environments. It provides advanced dynamic allocation, scheduling, monitoring, and management capabilities to ensure efficient utilization of GPU resources for various workloads, including AI/ML training, inference, and high-performance computing.

The telecom industry is at the forefront of technological innovation, tasked with enabling seamless connectivity, managing vast volumes of data, and supporting the rapid evolution of 5G and even 6G networks.

We're excited to announce the release of Smart Scaler 2.16.0, our latest update that is live as of July 24, 2025 is aimed at enhancing predictive scaling capabilities in Kubernetes environments. This version introduces new features and improvements designed to optimize resource utilization, reduce costs, and provide better visibility into your cluster operations.