kubeslice

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

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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.

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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

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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."

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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.”

thescore

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.”

intellyx

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."

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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.”

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William Bell

EVP Products, Phoenix NAP

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