Cast AI

The Kubernetes automation platform that cuts cloud costs, secures Kubernetes applications, and boosts DevOps efficiency.

[Cast AI @cast_ai]

For twenty years, compute followed a predictable path: wait a year, and the same power would cost less.

In January, that trend officially broke. AWS increased its H200 Capacity Block prices by 15%, breaking a two-decade precedent of falling compute costs. As organizations rush to secure AI hardware, high-end compute is actually getting more expensive.

Yet, the 2026 State of Kubernetes Optimization Report reveals a massive efficiency gap. While companies hoard hardware out of scarcity fears, raw utilization remains incredibly low across production environments :

• Average CPU utilization: 8%
• Average memory utilization: 20%
• Average GPU utilization: Just 5%

These are direct measurements taken across tens of thousands of production Kubernetes clusters on AWS, GCP, and Azure. It means 95% of highly competitive GPU capacity is sitting completely idle, costing dollars per hour while doing nothing.

In a market where hardware costs are actively rising, static provisioning is no longer a viable engineering strategy.

Our co-founder and president @laurentgil broke down the core numbers and structural issues behind this mismatch in Node Magazine. Read his full breakdown to see how your team can avoid the AI cost trap: https://t.co/NxoPbhmOh7

[Cast AI @cast_ai]

Even OpenAI’s Sam Altman admits there is a ton of waste in current AI spending.

As organizations pour billions into infrastructure, the critical question is how to get these costs under control. Our 2026 State of Kubernetes Optimization Report provides the hard data behind this reckoning: after analyzing 23,000 computing clusters, we found that average GPU utilization sits at just 5%.

Companies are stockpiling expensive chips, leaving 95% of their available capacity completely idle. We don't need to slow down AI innovation; we just need to fix how we manage the compute behind it.

Thanks to Business Insider and Digit India for featuring our report's findings in the broader conversation on AI infrastructure costs.

🔗 Read the full story here: https://t.co/UzwPrmKndi

[Cast AI @cast_ai]

São Paulo showed up in full force 🇧🇷

We designed the first @kubeautoday Day: FinOps Edition in Latin America for deep technical growth, and the response was incredible. With nearly 1,000 registrations, the venue was packed with great energy from start to finish.

The sessions were practical and loved by everyone. Speakers shared actual numbers and clear lessons on SRE and cost optimization, and we even had a speaker deliver an unforgettable FinOps rap.

It was a major milestone for the regional ecosystem, bringing together @LINUXtipsBR, @CloudNativeFdn, and the @FinOpsFdn. Thank you to our speakers, panelists, and our hosts for driving the conversations.

Thank you to our co-sponsors Opsteam, @chainguard_dev, @grafana, and @awscloud for collaborating with us to bring this to life.

The LATAM tech community is building something special, and we are proud to support it. See you at the next one.

[Cast AI @cast_ai]

Our biggest G2 quarter ever:
🥇Leader in Cloud Management Platforms, Cloud Cost Management, Auto Scaling
🏆Leader across Enterprise, Mid-Market, and every major region – Europe, EMEA, India, Asia Pacific

Thank you to the 190 customers who reviewed us. 🙏

[Cast AI @cast_ai]

We had the privilege of welcoming a delegation from the International Monetary Fund (IMF) to the Cast AI office in Vilnius 🇱🇹

As part of its visit to Lithuania, the IMF meets with selected organizations to discuss the country’s economic and business environment. This year, Cast AI was the only technology company invited to take part in these conversations.

It was an open and insightful discussion on scaling global technology companies from Lithuania, the future of AI infrastructure, talent, innovation, and the broader business landscape shaping growth across the region.

A proud moment for Cast AI, and a meaningful recognition of the company’s journey from Lithuania to becoming a globally recognized AI infrastructure platform.

[Cast AI @cast_ai]

We’re thrilled to be partnering with Hack Night London today for an intense, in-person hackathon! 🇬🇧

The energy in the room is exactly what we love about the community: 5 hours, 0 fluff, and a focus on shipping. It’s been particularly impressive to see @getkimchi being utilized for inferencing in real-time.

This is exactly why we value community-driven engineering. We’re here for the demos and the breakthroughs.

Let’s build! 💪

[Cast AI @cast_ai]

The 2026 State of Kubernetes Optimization Report is out.

CPU utilization: 8%. Memory: 20%. GPU: 5%. 🤯

Organizations that closed the gap share one thing in common: they stopped treating resource optimization as a one-time configuration task and started treating it as an automated, ongoing process.

An efficient Kubernetes cluster is not a configuration. It's a feedback loop.

👉 Full report: https://t.co/SGGt6LltAS

[Cast AI @cast_ai]

🏆 Cast AI is #1 in Cloud Cost Management on G2

Ranked #1 out of every platform in the category, based entirely on verified customer reviews:
🌟 98% gave us 4 or 5 stars
🎯 100% say we're headed in the right direction
✅ 93% would recommend us

To every customer who reviewed us – thank you! 🙌
https://t.co/uwatfntmee

[Cast AI @cast_ai]

@ALLENDigital_In built an AI platform that personalizes learning for every student 🤖 But as they scaled, GPU utilization became a challenge – and alternatives couldn't match the performance their learners needed.

Enter Cast AI's AI Enabler:
💡 GPU time-slicing → multiple models, one instance, zero performance trade-offs
📈 Managed GPU deployments → automatic scaling and hibernation
🔋 On-demand + Spot mix → high availability for production

The result: dramatically higher GPU utilization and infrastructure built to scale with their mission.

🔗 https://t.co/cLbFyx6RvX

[Cast AI @cast_ai]

🍇 From Bordeaux vineyards to Kubernetes efficiency – Caudalie's journey continues to impress!

Even in an already optimized environment, with Cast, Caudalie achieved:
→ 40% EC2 cost savings
→ Automated node lifecycle management
→ Less operational toil across clusters

📖https://t.co/f0uSbT0UT3

[Cast AI @cast_ai]

Altruist cut cloud costs by 45% and freed 100+ engineering hours/month with Cast AI.

📉 45%+ savings
⏱️ 85–130 hrs freed monthly
💰 $13–$26 return per $1 spent

Full story: https://t.co/lOo9JqGzPu

[Cast AI @cast_ai]

Big news to kickoff 2026: We closed our Series C2 funding round and are now valued at over $1 billion, underscoring our apid growth across all geographies, industries, and segments.
To celebrate, we’re introducing OMNI Compute: a unified compute marketplace that enables enterprises to access, provision, and operate GPUs across any cloud or region, with no code changes.
Learn more about OMNI Compute: https://t.co/A7W3x0FCTj

[Cast AI @cast_ai]

What happens when a team replaces manual cluster maintenance with full automation?
Moonshot Marketing utilized Cast AI to transition to fully automated cluster management, which continuously rightsizes resources, balances Spot and On-Demand instances, and eliminates the need for manual autoscaler tuning.
Results:
• 40% monthly cloud cost savings
• Manual autoscaling work reduced to near zero
Read the full case study: https://t.co/tCNs7mcpgo

[Cast AI @cast_ai]

Cloud GPU prices are shifting faster than ever – agility is now the real advantage. 💸

Our latest report tracks A100 and H100 GPU pricing across AWS, Azure, and GCP, showing that as AI demand soars, costs and availability swing weekly.

Teams that stay flexible by moving across regions and clouds are saving 2–5x vs. average prices.

The winners? Those using automation to find and provision the best GPU options.

📊 Read the full report: https://t.co/e6LGFRWUxv

[Cast AI @cast_ai]

Excited to share that we’re starting Q4 off with a bang with two exciting announcements.

First, we’re expanding into Korea and Southeast Asia thanks to a strategic investment by Metanet. Second, we have secured a credit facility from J.P. Morgan.

Metanet's investment and J.P. Morgan’s support give us even greater flexibility to pursue acquisitions, scale our global footprint, and continue expanding our Application Performance Automation platform.

https://t.co/1CLqfEsB4N

[Cast AI @cast_ai]

Buying cloud commitments is just step 1; using ~100% of them is where real savings happen. ShareChat, one of India’s largest GCP users, went from 50% unused capacity to ~99% utilization.

How? A specialized CUD rebalancer + Cast AI automation (bin-packing, autoscaling, workload rightsizing).
Capacity planning dropped from 2×/week → 1×/quarter.
Full case study 👉 https://t.co/q8829U7l1P

[Cast AI @cast_ai]

Stateful workloads demand high availability. This is where Container Live Migration helps: it enables seamless transitions between nodes with zero disruption.
💡The result?
Continuous availability
Better infrastructure utilization
Lower operational costs
👉 How it works: https://t.co/oVjr7vLTMp

[Cast AI @cast_ai]

Exciting news… Container Live Migration is now available to all AWS EKS customers and will be available to Google GKE and Azure AKS customers soon! Container Live Migration enables DevOps teams to migrate live Kubernetes containers between nodes — including those running stateful workloads — with zero downtime. It has other applications as well, like running non-Spot-ready workloads on Spot Instances and lifting and shifting workloads that aren’t built for K8s.

https://t.co/Pguen7FtgZ

[Cast AI @cast_ai]

Iterable, the leader in AI-powered customer communication, cut cloud costs by 60%+ with Cast AI.
How?
✅ Cost-efficient provisioning on autopilot
✅ Maximized AWS Savings Plans
✅ Spot Instances with zero downtime
Now the team scales in real time, eliminates waste, and keeps performance high.
Full case study here 👉 https://t.co/GhcLYLIZy5

[Cast AI @cast_ai]

@K8sFM @laurentgil Thank you @K8sFM!