Nirvana Labs May 2026 Roundup

May was about closing the gap between deciding to use Nirvana and actually shipping on it.

We launched 26 instance types so teams can pick the compute shape that matches their workload. We opened the Nirvana Examples Library: 18 open-source Terraform templates for running the modern stack. NKS got one-flag auto-scaling. Usage went live so teams can see what's running, what it costs, and what's changed. And we published deep dives on why CPUs matter for agentic AI and what p50/p95/p99 actually mean in production.

Here's what moved.

Instance Types Are Live: 26 SKUs, 3 Families

Compute that matches your workload, without guesswork.
Three families. One decision - what does your workload need?

• n1-highcpu (2 GB/vCPU) — CI/CD, encoding, blockchain validation
• n1-standard (4 GB/vCPU) — web servers, databases, APIs, microservices
• n1-highmem (8 GB/vCPU) — in-memory caches, analytics, archive nodes

26 SKUs on AMD EPYC. Available now on VMs and NKS. Pair with ABS for 20K sustained IOPS.

Details: https://nirvanalabs.io/blog/nirvana-instance-types

The Nirvana Examples Library Is Live

18 ready-to-clone Terraform templates for running the modern stack on Nirvana. Open source. Fork, apply, done.

What's in the library:

• Databases — Postgres, MongoDB, Redis, ClickHouse
• AI / RAG — LangChain + LangGraph
• Kubernetes — ArgoCD, MongoDB, Redis on NKS
• Dev infra — GitHub Actions runners, GitLab, Vault
• Observability — Prometheus + Grafana, RabbitMQ
• Networking — Tailscale, WireGuard, Caddy

The goal: go from "this looks interesting" to a running workload in a few clicks.

Browse the library: https://github.com/nirvana-labs-examples
Read the blog: https://blog.nirvanalabs.io/the-nirvana-examples-library-is-live

NKS Now Supports Auto-scaling

Worker nodes scale up and down based on workload demand, powered by Karpenter, enabled with a single flag.

No controllers. No CRDs. No management fees.

• Docs: https://docs.nirvanalabs.io/cloud/nks/autoscaling/
• Blog: https://nirvanalabs.io/blog/nks-now-supports-auto-scaling

Usage and Operations Are Live

Two new views on what's happening in your account:

• Usage — what's running, what it costs, per project
• Operations — what changed, when, with field-level diffs

Both available in the dashboard, the API, and the SDKs.

Open the dashboard: https://dashboard.nirvanalabs.io
Blog: https://blog.nirvanalabs.io/usage-and-operations

Coming Soon: LangChain Agents on ABS vs AWS

We wanted to prove Nirvana is faster and cheaper than AWS for AI workloads. So we benchmarked 100–1,000 concurrent @LangChain agents against 5M vectors on Nirvana ABS vs AWS (gp3 + io2). Same VMs. Same workload. Same Qdrant + Redis + PostgreSQL stack.

The first results were what we expected. Then we went back and did more: cold reads, 6K → 5M vectors, inline storage, multi-tenant, concurrent agents at 100, 500, and 1,000 — all on fresh VMs.

Full report coming soon. Sneak peek: @nirvanalabsai

From the Blog & Community

CPUs Are Back: Why Agentic AI Needs More CPU

GPUs grab the headlines, but agent loops put real pressure on CPUs. We broke down why CPU performance is back at the center of AI infrastructure, what changes when you run agents at scale, and what compute shape actually fits.

Read the blog: https://nirvanalabs.io/blog/cpus-are-back-why-agentic-ai-needs-more-cpu

Understanding Latency Metrics: p50, p95, p99

A short explainer on percentile latency : p50, p95, p99 because "fast" depends entirely on which percentile you measure.

When one user request fans out to 100 backend calls, the user effectively experiences your p99 on every page load.

The takeaway: don't pick one. Report all three.

Read the blog: https://nirvanalabs.io/blog/understanding-latency-metrics-p90-p95-p99-explained

Every serious EBS alternative, 2026. We ran the full breakdown on every credible EBS alternative — real pricing, real IOPS commitments, and the trade-offs vendors don't put on their pricing pages. Read the floor (gp3 saturates at 3,000 IOPS) and the cliff (io2 jumps 8.6× from $165 to $1,425/mo). ABS sits between them at $95/TB with 20K sustained IOPS included. Full breakdown

"EBS is a one-way street" — r/devops, and they're right. Volumes grow. Unused space stays paid for. That's the operational reality teams keep hitting. ABS was built around it: 20K sustained IOPS, no burst credits to drain, no over-provisioning tax. Source thread

What's Next

We're closing out the LangChain agents benchmark and shipping the full report. More examples are in the queue. We'll keep filling in the surface that makes Nirvana easier to run in production, and shipping new customer stories from teams running real-time and data-heavy systems.

Data never stops growing. Your cloud shouldn't slow it down.

Nirvana: Modern Cloud for Real-time Workloads

Ultra-fast Block Storage with High IOPS, powering blockchain, AI and real-time systems.

Learn more at Nirvana Labs

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