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NEW A100-ready GPU clusters now live →

Build your AI infrastructure
from GPU to models agents systems pipelines intelligence

Glixy Labs deploys production-grade GPU clusters, private LLMs, and cloud infrastructure for startups and enterprises — in 48 to 72 hours.

Start Build Book a Call
99.9% uptime SLA 48–72 hr deployment India support Cheaper than AWS
▦

A100 cluster live

8x GPUs · 640 GB VRAM

✦

LLM deployed

Llama-3 70B · RAG ready

glixy-cluster-01
32 GPUs 2.5 TB VRAM 87% util Kolkata · IN
A100
A100
4090
A100
3090
4090
A100
3090
4090
A100
3090
A100
4090
3090
A100
4090

GPU utilization

Throughput

2.4 PFLOPS

GPUs Online

0

across 4 cabinets

Active Clients

0+

India · SG · EU · US

Models Deployed

0

LLMs · ML · vision

Monthly Inferences

0M

avg p95 · 87ms

GPU CLUSTERS PRIVATE LLMS RAG SYSTEMS CLOUD DEPLOYMENT KUBERNETES NEURAL NETWORKS ON-PREMISE AI 99.9% UPTIME GPU CLUSTERS PRIVATE LLMS RAG SYSTEMS CLOUD DEPLOYMENT KUBERNETES NEURAL NETWORKS ON-PREMISE AI 99.9% UPTIME

Powered by industry-leading tech

DockerDocker KubernetesKubernetes LangChainLangChain LlamaIndexLlamaIndex Hugging FaceHugging Face TensorFlowTensorFlow PyTorchPyTorch NginxNginx DockerDocker KubernetesKubernetes LangChainLangChain LlamaIndexLlamaIndex Hugging FaceHugging Face TensorFlowTensorFlow PyTorchPyTorch NginxNginx
RedisRedis PineconePinecone WeaviateWeaviate PostgreSQLPostgreSQL SupabaseSupabase TerraformTerraform GitHub ActionsGitHub Actions RedisRedis PineconePinecone WeaviateWeaviate PostgreSQLPostgreSQL SupabaseSupabase TerraformTerraform GitHub ActionsGitHub Actions

Trusted by AI teams shipping in production

₹12 L/month saved Migrated 8× A100 workload off AWS in 5 days. Same throughput, 62% lower TCO. — CTO · Bangalore fintech
Llama-3 70B in 48hr Glixy deployed our private LLM, RAG over 2M docs, and API gateway end-to-end. — VP Engineering · enterprise SaaS
99.97% uptime Six months in production, zero SLA breaches. Dashboards and runbooks are first-class. — Head of ML · e-commerce
What we do

End-to-end AI infrastructure, built for scale

Seven deeply integrated services — from raw GPU compute to production-ready private AI. Pick what you need, or let us architect the full stack.

▦

GPU Cluster Infrastructure

High-performance GPU clusters optimized for AI training, inference, and HPC workloads — without the bottlenecks.

RTX 3090 RTX 4090 A100-ready CUDA
Explore GPU clusters →
✦

LLM Development & Private AI

Production-ready Large Language Models tailored to your business data — secure, scalable, and fully owned.

LangChain LlamaIndex RAG Vector DB
$glixy llm deploy --model llama3-70b → provisioning A100 cluster... → loading weights · 140 GB → RAG index ready · 2.1M docs ✓deployed in 47m
Build private LLM →
☁

Cloud & Server Infrastructure

Production-grade deployment, containerization, and orchestration. From VPS to multi-region scaling.

Docker K8s CI/CD
Deploy to cloud →
◉

Networking & Cloud Services

Enterprise-grade DNS, load balancing, CDN, and secure firewall architecture.

Configure network →
🌐

Website Implementation & Host

Marketing sites, dashboards, full-stack apps — designed, built, and hosted on production-grade infrastructure.

Next.js React SSL CDN
https://yourbrand.com
Build & host site →
⟳

DevOps & Automation

Automated CI/CD, infrastructure as code, real-time monitoring. Faster delivery, fewer surprises.

CODE
→
BUILD
→
DEPLOY
Automate pipeline →
⚒

CRM & Admin Implementation

Custom CRMs, admin dashboards, internal tools — built on your stack and hosted with role-based access and audit logs.

Roles Audit SSO
Lead · Acme AI₹2.4L
Deal · Helix Health₹8.7L
Renewal · Polaris₹1.9L
Build CRM & admin → ⚡

Live Hosting & Admin Console

Real-time uptime, deploy logs, traffic, and admin actions — always-on visibility for every site you ship.

◉
Uptime · 99.97%
SSL · Auto
CDN · Global
Alerts · 0
Monitoring… HEALTHY
[14:02:18] deploy ok · web-prod-03
[14:02:09] SSL renewed · yourbrand.com
[14:01:54] CDN purge · /assets
View console →
GPU Cluster Infrastructure

Multi-GPU clusters that scale without bottlenecks

Distributed training, multi-node scaling, Kubernetes-based GPU scheduling, and high-speed NVMe storage — pre-configured with optimized CUDA environments.

  • Multi-GPU servers (RTX 3090 / 4090 / A100-ready architecture)
  • Distributed training setup with multi-node scaling
  • Kubernetes-based GPU scheduling and allocation
  • High-speed NVMe storage for fast data access
  • Optimized CUDA environments via NVIDIA CUDA
Learn more → Get a quote

cluster-mumbai-01

Running

A100 #1

94%

A100 #2

88%

4090 #1

62%

4090 #2

58%

3090 #1

31%

A100 #3

91%

3090 #2

22%

4090 #3

71%

Inside the rack

Tour our data center floor

Real GPU racks. Real fans. Real LEDs. Live now in Kolkata and Bangalore.

▦ GLIXY-RACK-04 · MUMBAI

A100 ×8 node-01
A100 ×8 node-02
RTX 4090 ×4 node-03
Storage nvme-pool
Switch 100GbE
RTX 3090 ×4 node-04
Control k8s-master
UPS 10kVA

⚡ live telemetry · refreshing

312 GPUs.
22 TB VRAM. 2.4 PFLOPs.

Hover any rack unit to inspect. Every fan, LED, and load bar reflects a real metric streaming from our Kolkata + Bangalore data centers.

Total throughput
2.4 PFLOPS
Avg utilization
87%
Active jobs
142
Mean GPU temp
68°C

▢ DATA CENTER FLOOR · 4 CABINETS LIVE

CAB-01
CAB-02
CAB-03
CAB-04
LLM Development & Private AI

Build your own private LLM on your own data

From architecture design to deployment — fine-tuned LLMs, RAG systems, vector databases, and an API layer for seamless integration. All on your infrastructure.

  • Custom LLM pipelines (fine-tuning / prompt optimization)
  • Retrieval-Augmented Generation (RAG) systems
  • Vector database integration for semantic search
  • Private AI deployment — on-premise or cloud
  • API layer for integration into apps and workflows
LangChain LlamaIndex Pinecone Weaviate Hugging Face
Learn more → Get a quote 
# Glixy private LLM — RAG pipeline
from glixy import PrivateLLM, RAGStore

llm = PrivateLLM(
  model="llama3-70b",
  deployment="on-prem",
  gpu="a100-cluster-01",
)

store = RAGStore(
  vector_db="weaviate",
  embeddings="bge-large",
)

store.ingest("./company-docs")

response = llm.query(
  "What's our Q3 revenue?",
  context=store,
)
# → "$284,920 (↑ 12.4% YoY)"
LLM architecture

How your private LLM processes a query

From raw text to embeddings to attention layers to a grounded answer — all on your GPUs, in milliseconds.

Input · query
"What's our Q3 revenue?"
Embedding · 4096-d
Transformer · 80 layers
multi-head attn32 heads
Output · response
"$284,920 — up 12.4% YoY."

Parameters

70 B

Context window

128 K

Tokens/sec

142

Time-to-first-token

87 ms

0+

GPU clusters deployed

0hr

Avg deployment time

0%

Uptime SLA target

0%

Cheaper than AWS

Global infrastructure

Deployed where your users are

Kolkata, Bangalore, Singapore, Frankfurt, NYC. Anycast routing puts your AI milliseconds from any user — without paying hyperscaler markup.

Network status · live

All systems
Kolkata · IN32 ms
Bangalore · IN28 ms
Singapore · SG64 ms
Frankfurt · DE118 ms
NYC · US186 ms
Why Glixy Labs

AI + GPU + Cloud — one platform, one team

We're not a reseller. We architect, deploy, and run the entire stack — from bare-metal GPUs to RAG pipelines to production endpoints.

More affordable than AWS

Up to 60% lower compute costs without sacrificing performance or reliability.

48–72 hour deployment

From kickoff to running cluster in days, not months. We move at startup speed.

AI + GPU + Cloud

One team, one platform. End-to-end ownership of every layer of your AI stack.

Private & secure

On-premise LLM options. Encrypted pipelines. Your data stays in your control.

India-focused support

Local team, local time zones, local data residency. Full support in IST.

Scales with you

Start with one GPU. Scale to a 32-node cluster. We grow with your workload.

Interactive savings

Calculate your savings vs AWS

Punch in your current AWS GPU bill (or use our defaults). See exactly how much Glixy saves per month, year, and over the cluster's life.

8
20h

Estimates use public AWS on-demand p4d/p5 pricing and Glixy India-billed rates. Custom workloads typically save more.

You save every month

₹0

vs equivalent AWS configuration

AWS monthly cost₹0
Glixy monthly cost₹0
0% cheaper
₹0 annual saving
0x price ratio
🚀 Lock in this saving 📄 Get written quote
Highlights

What makes us different

⚡

48hr deploy

Production cluster in 2 days

💰

60% savings

vs equivalent AWS pricing

🔒

On-premise

Air-gap deployment ready

🇮🇳

India support

Local team, IST hours

Docker
Kubernetes
LangChain
LlamaIndex
Hugging Face
TensorFlow
PyTorch
Nginx
Redis
Pinecone
Weaviate
PostgreSQL
Supabase
Terraform
GitHub Actions
Flip to explore

The full stack, in one place

Hover any card to see what's inside.

▦

GPU compute

Multi-GPU servers with NVLink and InfiniBand fabric.

Hover →
▦

312 GPUs online

RTX 3090, 4090, A100. Combined 22 TB VRAM. 87% avg utilization across 47 active clusters.

2.4 PF

✦

Private LLMs

Llama-3, Mistral, Qwen — fine-tuned on your data, deployed on your hardware.

Hover →
✦

1,243 models

Production LLMs serving 14k+ QPS. 92% mean accuracy on customer-defined evals. Zero training data leakage.

14k QPS

☁

Cloud + K8s

Docker, Kubernetes, ArgoCD — production-ready orchestration.

Hover →
☁

99.9% uptime

5 regions, multi-AZ, auto-scaling. 4.2M deployments shipped without a single SLA breach in 2025.

5 regions

⚙

Custom ML

Predictions, recommendations, classification — trained on your domain.

Hover →
⚙

147 models live

Fraud, churn, demand, recsys. Avg AUC 0.91. Mean inference latency 87ms p95.

0.91 AUC

⟳

DevOps

CI/CD, IaC, monitoring, on-call — your platform team in a box.

Hover →
⟳

847 pipelines

Mean deploy time 4m 12s. 99.4% pipeline success rate. Auto-rollback on health failures.

4m 12s

⛨

Security

SOC 2, GDPR, HIPAA — encrypted at every layer.

Hover →
⛨

SOC 2 Type II

Annual audit. AES-256 at rest, TLS 1.3 in transit. Customer-managed keys via HSM.

SOC 2

Try it live

Talk to a real Glixy AI, right here

No signup. No demo trap. Ask anything about GPU clusters, private LLMs, RAG, or AWS migration — the model below runs the same stack we deploy for customers.

G
Hey 👋 I'm Glixy AI, running on a private Llama-3 70B cluster in Mumbai. Ask me anything about GPU clusters, pricing, or AWS migration. Or pick a suggestion below.
What does an 8-GPU A100 cluster cost? How fast can I deploy Llama-3? How does AWS migration work? What's your RAG stack?
📄

Drop a PDF here or click to upload

Indexed in seconds · ask questions in plain English

Summarize this document What's the bottom line on page 3? Extract all tables
https://yourbrand.com
Your website, but smarter
✦

Embed an AI agent on any site

One script tag. Glixy crawls your site, indexes every page, and ships a conversational support agent that knows your product, pricing, and docs.

<script src="https://glixy.ai/agent.js"
  data-site="yourbrand.com"></script>

▸ Live in 2 minutes · ₹9,900/month

🎙

Click to speak

Hindi · Tamil · Telugu · Bengali · English. Real-time voice AI, 12 Indian languages, 380ms median latency.

Real-time

Inside our live ops dashboard

Every metric here is streaming from production. The bars wiggle, the clusters flicker, and the numbers tick — because they should.

LIVE

GPU utilization · last 3 minutes

Aggregate across 312 GPUs in 4 cabinets. Sustained 87% peak utilization.

LIVE

Active clusters

47

47 production · 12 staging

LIVE

Uptime · 30 days

99.97%

Zero SLA breaches · 7m 24s incident MTTR

LIVE

Active AI agents

2,847

Serving 14k+ QPS · global

LIVE

Top clusters · real-time utilization

mum-prod-01
94%
blr-prod-02
78%
kol-prod-03
85%
sg-edge-01
62%
frk-edge-01
55%
How it connects

One platform, every layer

From bare-metal GPUs to your API endpoint — wired together, monitored end-to-end.

▦ GPU cluster
⛵ Kubernetes
✦ Glixy core
📚 Vector DB
🔌 API gateway
How we work

From kickoff to production in 4 steps

A clear, accountable process that ships infrastructure in days — not quarters.

1

Discovery & architecture

30-min call to understand your workload, scale targets, and budget. We deliver a written architecture spec within 24 hours.

DAY 1
2

Provisioning & setup

GPU servers, networking, storage, and Kubernetes orchestration provisioned. CUDA environments tuned to your model.

DAY 2
3

Deployment & integration

Models loaded, RAG indexes built, APIs exposed. Integration testing with your existing apps and workflows.

DAY 2–3
4

Handover & monitoring

Dashboards, runbooks, and 24/7 monitoring live. Ongoing support, scaling, and optimization on retainer.

DAY 3+
Customer stories

Trusted by AI teams across India

★★★★★

"Glixy Labs deployed our 8-GPU A100 cluster in 52 hours. Same setup quoted 6 weeks elsewhere. Our LLM training is 3x cheaper than AWS."

RP

Rahul Patel

CTO · AI startup, Bangalore

★★★★★

"On-premise Llama-3 with RAG over 2M internal docs. Compliance team finally said yes. Glixy handled the entire stack end-to-end."

PS

Priya Sharma

VP Engineering · Fintech

★★★★★

"From bare metal to production endpoint in 3 days. The Kubernetes setup, monitoring dashboards, and runbooks are first-class."

AK

Arjun Krishnan

Head of ML · E-commerce

Pricing

Pricing that scales with you

Transparent monthly plans, custom enterprise pricing, and India-friendly billing.

Starter

₹49k/month

Single-GPU node, perfect for early-stage AI projects.

  • 1× RTX 3090 / 4090 GPU
  • 64 GB RAM · 2 TB NVMe
  • Docker + monitoring
  • Email support (24h)
  • No SLA
Start build
Most popular

Growth

₹1.99L/month

Multi-GPU cluster for serious AI training and inference.

  • 4× A100 / 4090 GPUs
  • 256 GB RAM · 8 TB NVMe
  • Kubernetes + auto-scaling
  • RAG pipeline + vector DB
  • 99.9% uptime SLA
  • Priority support (4h)
Start build

Enterprise

Custom

Dedicated cluster + on-premise + private LLM stack.

  • 8–32× A100 GPUs
  • On-premise deployment
  • Private LLM (Llama-3 70B+)
  • Custom SLA + dedicated DevOps
  • SSO · audit logs · compliance
  • 24/7 white-glove support
Contact sales

Need a different config? See full pricing →

FAQ

Common questions

How is Glixy Labs cheaper than AWS?

We operate our own GPU racks in Indian data centers and pass the savings on. No reseller markup, no egress fees, and India-billable currency means up to 60% lower TCO compared to equivalent AWS instances.

What's the realistic deployment timeline?

For most workloads we target 48–72 hours from contract signing to a running cluster. Custom on-premise builds with hardware procurement may take 2–4 weeks. We give a firm timeline in writing after the initial discovery call.

Can my data and LLM stay fully on-premise?

Yes. Our private deployment option installs the entire stack — GPUs, models, RAG indexes, monitoring — on hardware you own. Data never leaves your network. We handle setup, ongoing patches, and support remotely or on-site.

Which GPUs and models do you support?

RTX 3090, RTX 4090, A100, and H100-ready architectures. Open-source models including Llama-3, Mistral, Qwen, Mixtral, plus custom fine-tunes. CUDA, PyTorch, TensorFlow, JAX — all pre-configured and tuned.

Do you handle ongoing monitoring and scaling?

Yes — every plan includes Grafana dashboards, alerting, and a runbook. Growth and Enterprise tiers add proactive scaling, on-call DevOps, and quarterly architecture reviews.

Can I migrate from AWS / GCP / Azure?

Absolutely. We do AWS-to-Glixy migrations every month — including S3 → object storage, EKS → managed K8s, and SageMaker → custom training pipelines. Most migrations complete within a sprint.

Head-to-head

Glixy vs AWS, GCP, Azure

Same workload. Same SLA. Wildly different math.

Capability AWS GCP Azure Glixy
8× A100 monthly (est.) ₹5.2 L ₹4.9 L ₹5.4 L ₹1.99 L
Setup time 2–4 weeks 2–3 weeks 3–5 weeks 48–72 hrs
Egress fees Yes (high) Yes Yes None
India data residency Mumbai (limited) Delhi (limited) Pune (limited) 3 cities, native
On-prem / air-gap option No No Partial (Stack) Yes, full stack
Billed in INR USD USD USD Yes
Private LLM included DIY on Bedrock DIY on Vertex DIY on AI Foundry Llama-3 / Mistral live
RAG pipeline preconfigured No No No Day-1 ready
Support tier (IST hours) Email · slow Email Email Slack · 4hr SLA
Dedicated DevOps engineer No No No Growth+ tier
AWS GCP Azure Glixy
The Glixy product ecosystem

Six products. One platform.

Pick a product, plug it in, ship in days. Or wire them all together for an end-to-end AI company.

LIVE

Glixy Aether

▦ AI runtime for any model

Open-source runtime that turns any GPU into a production AI server. One binary, zero config.

  • OpenAI-compatible API
  • Llama, Mistral, Qwen ready
  • Auto-batching + KV cache
Explore Aether → LIVE

Glixy Cloud

☁ Managed infrastructure

Production-grade Kubernetes, networking, and storage — billed in INR, deployed in India.

  • 4 regions, 99.9% SLA
  • K8s + Argo + Grafana
  • SOC 2 Type II
Explore Cloud → LIVE

Glixy GPU

▣ Bare-metal & hosted GPUs

RTX 3090, 4090, A100, H100-ready. By the hour, monthly, or as part of a custom cluster.

  • 312 GPUs · 22 TB VRAM live
  • NVLink + 100GbE fabric
  • From ₹28/hr (3090)
Explore GPU → BETA

Glixy AI Studio

✦ Fine-tune & deploy LLMs

Visual LLM studio — fine-tune Llama on your data, evaluate, and deploy with one click.

  • LoRA + QLoRA + full FT
  • Built-in eval harness
  • 1-click deploy to Aether
Join beta → BETA

Glixy Voice AI

🔊 Multilingual voice agents

Real-time voice AI in 12 Indian languages. Plug into IVR, support calls, or your app.

  • Hindi · Tamil · Telugu · Bengali
  • 380ms median latency
  • Streaming STT + TTS
Try Voice AI → COMING SOON

Glixy Agents

🤖 Agent marketplace

A marketplace of pre-built AI agents — sales, support, ops, dev. Deploy in 60 seconds.

  • 40+ vertical agents
  • BYO model or use Glixy
  • Revenue share for builders
Get notified →
Where we run

Deployed across 4 continents

Anycast routing puts your AI milliseconds from any user. Kolkata, Bangalore, Mumbai, Singapore, Frankfurt, NYC.

Kolkata, India · 32ms Bangalore, India · 28ms Mumbai, India · 30ms Singapore · 64ms Frankfurt, DE · 118ms NYC, USA · 186ms
6Edge regions
312GPUs deployed
28msBest latency
99.97%30-day uptime
Real customer outcomes

Three industries. Three real wins.

Named details are anonymized — outcomes are exact.

💳
Fintech

Series B fintech — fraud detection at 14k QPS

ProblemAWS SageMaker bill ballooned to ₹19L/mo. Latency spikes triggered false declines, eroding customer trust during peak hours.
SolutionMigrated to 8× A100 Glixy cluster in Mumbai. Custom XGBoost + Llama-3 risk reasoner. Sub-50ms p99 latency.

Saved monthly

₹12.4 L

p99 latency: 312ms → 47ms

Migration: 5 days

🏥
Healthcare

Hospital chain — private LLM for clinical documentation

ProblemCompliance blocked any cloud LLM. Doctors spent 2hrs/day on documentation. No HIPAA-compliant Indian provider existed.
SolutionAir-gapped on-prem 8× A100 + Med-Llama 70B + HIPAA-compliant RAG over 4M patient records (encrypted, redacted).

Time saved per doctor

82min/day

Setup: 72 hours on-site

Data: 100% on-premise

🎓
EdTech

EdTech platform — multilingual AI tutor for 2M students

ProblemOpenAI API costs scaled linearly with users — ₹47L/mo at peak. Hindi + Tamil support was uneven, hurting tier-2 retention.
Solution4× RTX 4090 cluster + fine-tuned Llama-3 8B + Glixy Voice AI in 12 Indian languages. Cached per-curriculum responses.

Saved monthly

₹38 L

Inferences/mo: 240M+

Languages: 12 Indian

Build your AI company

Build your AI company in 72 hours

Pick your industry, pick your scale, pick your model. We'll generate your AI architecture — and ship it for real.

1Industry
2Scale
3Model
4Stack

What are you building?

Pick the industry that best matches your AI workload.

💳
Fintech
Fraud, lending, risk, KYC, payments
⚡
SaaS / Startup
Product AI, copilots, automation
🏥
Healthcare
Clinical AI, documentation, imaging
🎓
EdTech
Tutors, assessments, voice learning

What's your scale?

We'll right-size the cluster and tier the SLA accordingly.

🌱
MVP
1–10k users · 1 GPU
🚀
Growth
10k–1M users · 4× GPUs
📈
Scale
1M–10M users · 8–16× A100
🏢
Enterprise
10M+ users · multi-cluster

Which model family?

Pick one — we'll fine-tune it on your data during deployment.

✦
Llama-3 70B
Best general reasoning
⚡
Mistral / Mixtral
Fast + cost-efficient
🌐
Qwen 2.5
Multilingual + Chinese
🧪
Custom
Bring your own / open-source

Here's your AI infrastructure

Architected, priced, and ready to deploy in 48–72 hours.

▸ STACK

No-cost audits

Get a free expert review of your AI infra

Pick what you want, fill the form, hear back within 4 hours during IST. No sales pitch, just real engineering review.

🔍

Free AI Architecture Review

30-min review with our principal engineer. Written architecture document delivered within 24h.

FREE · 4hr response
💰

Free AWS Cost Optimization Report

Send us your AWS bill — we'll send back a line-by-line teardown with savings opportunities.

FREE · saves avg ₹8L/mo
⚡

Free GPU Workload Audit

We'll profile your training/inference pipeline and identify bottlenecks for ≤25% speedup.

FREE · 1-week deliverable
🛡

Free Compliance Readiness Check

SOC 2, HIPAA, GDPR, DPDP Act — we'll map your current gaps and a remediation path.

FREE · for AI workloads
🚚

Free AWS Migration Assessment

Get a personalized migration plan: which workloads first, projected savings, timeline.

FREE · 2-week deliverable

Book your free audit

Pick the audit you want, drop your details, we'll be in touch.

No spam 4hr response NDA on request India-based team
✓

Request received!

Our engineering team will reach out within 4 hours during IST. Check your inbox for confirmation.

Build your AI infrastructure today

From GPU clusters to private LLMs — get a quote and a written architecture in 24 hours.

🚀 Start Build → 📞 Book a Call
📞 Book Free Architecture Call