Orchestrate and Observe your GPUs
The smart and efficient GPU orchestration platform that compounds the performance of your AI jobs.
EGS Benefits
Elastic GPU Service Enterprise
Cost Optimization
Achieve up to 40% savings in GPU costs while maintaining peak performance for your workloads
Predictive Cost Management
Leverage data-driven insights to forecast resource needs and align costs with usage patterns.
Spot Instance Utilization
Prioritize cost-effective spot GPUs for batch jobs and non-critical tasks, cutting compute costs significantly.
Dynamic Resource Allocation
Automatic GPU allocation based with EGS’ time-slice feature. Unused GPU capacity automatically reallocated for efficient use.
Observability with Real Time Clarity
Eliminate inefficiencies before they become bottlenecks, ensuring every GPU cycle delivers value.
Monitoring
Leverage data-driven insights to forecast resource needs and align costs with usage patterns.
Proactive Insights
Prioritize cost-effective spot GPUs for batch jobs and non-critical tasks, cutting compute costs significantly.
Cost Transparency
Automatic GPU allocation based with EGS’ time-slice feature. Unused GPU capacity automatically reallocated for efficient use.
Smart Orchestration
Run large-scale, distributed workflows without worrying about resource bottlenecks or overspending
Dynamic Scaling
Our system provisions GPUs precisely when and where they’re needed and decommissions them when they’re not
Cross-Cloud Flexibility
EGS orchestrates workloads across multiple cloud environments, enabling you to leverage the best pricing and performance options
Workflow Optimization
Whether it’s training an LLM or running real-time inference, EGS ensures every task in DAG pipelines are optimized for speed and reliability
EGS Automation
Save time, reduce errors, and scale operations effortlessly with automation that works around the clock
Auto-Provisioning
Automatically allocate GPUs based on workload demands, ensuring zero idle resources.
Self-Healing Systems
Detect and resolve workflow failures without manual intervention, keeping your operations running smoothly.
Cost-Aware Automation
Schedule non-critical tasks during off-peak hours or prioritize cost-efficient resources like spot instances.
Enterprise Ready
Best-in-Class Experience for
Data Scientists, AI Engineers, and Platform Engineers
45%
Increase
In Node Allocations
30%
Reduction
In GPU Wait Time
47%
Reduction
in GPU Cost
Testimonials
Insights from Your Industry Peers
“Cox Edge operates a complex and highly distributed edge cloud network across data centers in the US, so the ability to establish secure, low latency connectivity, and intelligently manage traffic routing is a core requirement. We evaluated all sorts of network solutions, and Avesha’s KubeSlice really stood up not only as a solution to todays challenges, but as a framework to build additional networking products and capabilities in the future."
Ron Lev
GM, Cox Edge
"Humans aren’t good at managing that level of complexity in a stressful scenario, even without the stressful scenario it’s really complicated. So that is where technology (like Smart Scaler) does a really good job. It can crunch numbers for you, and take your business requirements, and implement them without you having to be there under pressure.”
Shlomo Bielak
Head of Engineering, The Score
“To date, application and cloud operations teams spend a lot of underappreciated effort trying to predict the cost and performance tradeoffs of different settings for autoscaling pods. Solutions like Avesha’s Smart Scaler can offload the heavy lifting of these estimation processes so cloud native engineers can realize just-in-time optimized HPA settings across their Kubernetes application environments.”
Jason English
Principal Analyst at Intellyx
"Avesha KubeSlice is a smart tool that allows us to easily connect workloads from datacenters to clouds. If you are running Kubernetes in Hybrid Cloud, you get faster resiliency with Avesha KubeSlice. Also the ability to isolate workloads by tenant with Slices is a game changer for Hybrid Cloud."
John Repucci
Director of Solution Architecture, Ensono
“We are excited to partner with Avesha to continue to innovate and make it easier to work with multi cluster applications and provide a whole suite of capabilities that the Avesha platform provides.”
William Bell
EVP Products, Phoenix NAP
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