Avesha

At #GTC, Raj Nair, Founder & CEO of Avesha, will host a #BrainDate on Telco Cloud Continuum and AI workload placement across edge, telco, and cloud. Register: lnkd.in/g4RsJ5JT #NVIDIAGTC #EdgeAI #SovereignAI #Avesha

Raj Nair, Founder & CEO of Avesha, is hosting a BrainDate at NVIDIA GTC on Private Serverless AI and secure, dedicated model inference. Register here: lnkd.in/g7kF9i94 #GTC #Avesha

Avesha’s AI Service Delivery Plane monitors latency, errors, GPU utilization, and queues in real time. It auto-routes, fails over across clusters, and scales ahead of demand. Same SLOs. Fewer GPUs. Resilient inference. #AIInfrastructure #MLOps #GPU #PlatformEngineering #Avesha

Deploy AI in 3 steps: Select model. Click deploy. Done. Smart Scaler + EGS Serverless handle scaling, failover, and capacity behind the scenes. No GPU management required. #AIInfrastructure #Avesha

GPU usage shouldn’t be guesswork. EGS shows who’s over-allocated, under-utilized, or blocking critical workloads across teams and tiers. Turn GPU infrastructure into a measurable service. #PlatformEngineering #AIPlatform #Avesha

Traffic spikes, failures, or idle GPUs break inference. Avesha’s AI Service Delivery Plane auto-routes by SLOs, fails over across clusters, and scales ahead of demand. Same SLOs. Fewer GPUs. Always-on inference. #Avesha #GPU

GPU supply isn’t the problem anymore. AI service delivery is. Most teams have GPUs and Kubernetes. What’s missing? A service plane for always-on inference. Avesha turns raw GPU capacity into reliable, production AI. #Avesha #Kubernetes

Avesha shows exactly where your apps and infrastructure sit on the #Provisioning posture map - free. See your posture here: lnkd.in/gHmNFZqM The real question isn’t “Are we safe?” It’s “How much are we overpaying to feel safe?”

Go beyond cluster boundaries. #EGS, built on Avesha’s #KubeSlice, provides zero-trust Layer-3 connectivity across clusters, sites, and clouds so workloads communicate securely wherever they run. Built for modern distributed infrastructure. Designed for scale and security.

MIG splits GPUs. #EGS makes them elastic. No more stranded GPU slices or waiting jobs. Elastic Grid Service reallocates MIG capacity in real time for higher utilization without performance loss. #Avesha #EGS

Over-provisioning quietly drains your budget. Elastic Grid Service lets you burst only when demand spikes, so you’re not paying for idle capacity all day. The goal isn’t more infrastructure. It’s the right infrastructure, at the right time. #Avesha #ElasticGridService #FinOps

Over-provisioning quietly drains your budget. Elastic Grid Service lets you burst only when needed: - Handle demand spikes - Keep performance stable - Avoid paying for idle capacity The goal isn’t more infrastructure. It’s the right infrastructure, at the right time. #Avesha

Every team wants flexibility. No one wants to rewrite apps to get it. Elastic Grid Service lets you run workloads across environments without code changes. One fabric. Infinite reach. Infrastructure that just works.👉 avesha.io/contact #Avesha #Kubernetes

Autoscaling but smarter. See how: lnkd.in/gnYUAPXz Smart Scaler uses generative AI + RL to predict traffic and scale Kubernetes workloads ahead of spikes—boosting performance, SLAs, and cost efficiency. Curious how predictive autoscaling could help you and your team?

Every #Kubernetes model has tradeoffs. Multi-cluster is the strongest—if you can manage policies, namespaces, discovery, drift, and QoS cleanly. That’s what #KubeSlice solves: making multi-cluster Kubernetes actually simple. Schedule time with our CEO: lnkd.in/gW2GQZuQ

We just released our SmartScaler B200 Performance Report On NVIDIA HGX B200s with Llama-3.1 70B FP8, SmartScaler hit 3×+ higher burst throughput, scaled minutes faster than HPA, and kept queues near zero under heavy load Predictive > reactive. RL > thresholds. Tokens > time.

Reliability isn’t just uptime—it’s speed, cost, and experience. The 2025 Gartner® Hype Cycle™ for SRE shows how central reliability is to business value. Teams must ship fast and stay efficient. Avesha’s Smart Scaler + EGS help enterprises stay reliable while cutting waste.

Obliq Reliability Agents monitor metrics & context in real time. When incidents hit, they ingest telemetry across clouds, apps & APIs, correlate it via the Knowledge Graph, and pinpoint the root cause—cutting MTTD by 70% and MTTR by 50%+.

Obliq, every agent makes the next one smarter. FinOps insights feed Resource Allocators, which optimize compute and inform Finance Planning. QA findings train Reliability agents, improving stability. Each loop compounds intelligence, making the platform faster and more resilient.