How teams are shipping AI on Glixy.

Quanta Research · Bangalore

Cut LLM training cost by 64% — and shipped 2 weeks early.

A YC-backed AI research lab needed to fine-tune Llama-3 70B on 2 TB of proprietary data. AWS quoted ₹14L/month for the compute alone. We delivered 16× A100s in 51 hours for ₹5L/month — and our DevOps team handled the distributed training setup.

"Glixy is the only reason we shipped on time. The cluster ran 99.97% over the 6-week training run — we lost 12 minutes total."
— David Chen, CTO, Quanta Research

Helix Health · Mumbai

HIPAA-compliant on-premise LLM, deployed in 18 days.

India's largest digital health company needed a private Llama-3 70B for clinical decision support. Compliance ruled out every public cloud. Glixy delivered an air-gapped cluster on Helix's hardware, with end-to-end encryption, customer-managed keys, and a HIPAA-ready audit trail.

"Compliance signed off on the first review. That's never happened before. The runbooks alone are worth the contract."
— Dr. Anita Kapoor, VP Engineering, Helix Health

Nexora Fintech · Bangalore

Real-time fraud detection on Mixtral 8x7B at 88 QPS.

Nexora processes ~14M transactions a day. Their old fraud model missed 23% of card-not-present fraud. Glixy built a Mixtral-based classifier on a 4× A100 cluster with sub-100ms p95 latency — model now flags 91% of fraud, catches ₹3.4Cr/month that used to leak through.

"Glixy's ML team feels like an extension of ours. They wrote the eval harness, the deploy pipeline, the on-call runbook. We just ship features."
— Rohit Mehta, Head of Risk, Nexora

Polaris Studios · Mumbai

Generative AI design pipeline — 312 QPS, ₹4L/month.

Polaris ships a design copilot to 80,000 daily users. They were running on OpenAI APIs at ₹18L/month with rising error rates and degrading latency. Glixy replaced the entire pipeline with a Qwen 14B + Llama-3 70B hybrid running on dedicated 4090s. Half the cost, double the throughput.

Drift Mobility · Bangalore

Computer vision at the edge — 8× RTX 4090 cluster.

Drift's autonomous fleet generates 40 TB/day of camera + LIDAR data. They needed to retrain perception models nightly. Glixy provisioned an 8× RTX 4090 cluster with NVMe-oF burst storage. Training run dropped from 26 hours to 4. Daily releases now ship before sunrise.