{"id":243,"date":"2026-06-23T23:58:39","date_gmt":"2026-06-23T18:28:39","guid":{"rendered":"https:\/\/giganodes.host\/blog\/run-ollama-on-vps-india\/"},"modified":"2026-10-29T14:53:43","modified_gmt":"2026-10-29T14:53:43","slug":"run-ollama-on-vps-india","status":"publish","type":"post","link":"https:\/\/giganodes.host\/blog\/run-ollama-on-vps-india","title":{"rendered":"How to Run Ollama on VPS India \u2014 Host AI Models Without GPU"},"content":{"rendered":"
\n
\n
\n GigaNodes<\/a>
\n \u203a<\/span>
\n Blog<\/a>
\n \u203a<\/span>
\n VPS Hosting India<\/span>\n<\/div>\n
VPS Hosting India \u00b7 June 2026<\/div>\n

How to Run Ollama on VPS India \u2014 Host AI Models Without GPU<\/h1>\n
\n Mayank Sharma<\/span>\u00b7<\/span>June 2026<\/span>\u00b7<\/span>8 min read<\/span>\n<\/div>\n
\n
Direct answer<\/div>\n

Run Ollama on a best VPS hosting India<\/a> plan from GigaNodes starting at \u20b9880\/mo<\/strong>. Cloud XS (4GB RAM) handles Phi-3 Mini. Cloud S (8GB RAM, \u20b91,584\/mo) runs Llama 3 7B and Mistral 7B without a GPU. Install takes under 5 minutes with one command.<\/p>\n<\/div>\n

Ollama makes it possible to run large language models like Llama 3, Mistral, and Phi-3 entirely on your own server \u2014 no API fees, no rate limits, no data leaving your infrastructure. The catch is that most laptops don’t have the RAM or uptime to run a model 24\/7 for an app or API. That’s where a VPS comes in.<\/p>\n

This guide covers exactly which Ollama models fit which VPS plan, the install commands, and how to expose Ollama as an API for your own apps.<\/p>\n

Why Run Ollama on a VPS Instead of Your Local Machine<\/h2>\n

Running Ollama locally works for testing, but it stops working the moment you need the model available 24\/7, accessible from multiple devices, or callable from a production app. A laptop sleeps, reboots, and loses its IP address. A VPS in India stays online continuously, gets a static IP, and sits close to users in Delhi NCR and across India for low latency.<\/p>\n

Running Ollama on a GigaNodes VPS India<\/a> also means you control your data completely \u2014 prompts and outputs never leave your own server, which matters for businesses handling sensitive customer data under India’s data protection rules.<\/p>\n

Ollama Model RAM Requirements vs GigaNodes Plans<\/h2>\n
\n\n\n\n\n\n\n\n\n\n
Model<\/th>\nParameters<\/th>\nRAM Needed<\/th>\nGigaNodes Plan<\/th>\nPrice<\/th>\n<\/tr>\n<\/thead>\n
Phi-3 Mini<\/td>\n3.8B<\/td>\n3-4GB<\/td>\nCloud XS<\/td>\n\u20b9880\/mo<\/td>\n<\/tr>\n
Llama 3 7B<\/td>\n7B<\/td>\n6-8GB<\/td>\nCloud S<\/td>\n\u20b91,584\/mo<\/td>\n<\/tr>\n
Mistral 7B<\/td>\n7B<\/td>\n6-8GB<\/td>\nCloud S<\/td>\n\u20b91,584\/mo<\/td>\n<\/tr>\n
Llama 3 13B<\/td>\n13B<\/td>\n14-16GB<\/td>\nCloud M<\/td>\n\u20b93,168\/mo<\/td>\n<\/tr>\n
Llama 3 70B<\/td>\n70B<\/td>\n48-64GB<\/td>\nCloud XL<\/td>\n\u20b912,672\/mo<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Step by Step \u2014 Installing Ollama on Your VPS<\/h2>\n

These steps work on any Ubuntu 24.04 VPS, including every GigaNodes plan.<\/p>\n

1. Connect to your VPS via SSH<\/h3>\n
ssh root@your-vps-ip<\/div>\n

2. Install Ollama<\/h3>\n
curl -fsSL https:\/\/ollama.com\/install.sh | sh<\/div>\n

3. Start the Ollama service<\/h3>\n
systemctl start ollama
\nsystemctl enable ollama<\/div>\n

4. Pull a model<\/h3>\n
ollama pull llama3<\/div>\n

5. Run the model<\/h3>\n
ollama run llama3<\/div>\n

6. Optional \u2014 add a web UI with Docker<\/h3>\n

Open WebUI gives you a ChatGPT-style interface for your self-hosted models.<\/p>\n

docker run -d -p 3000:8080 –add-host=host.docker.internal:host-gateway ghcr.io\/open-webui\/open-webui:main<\/div>\n

Using the Ollama API<\/h2>\n

Once running, Ollama exposes a local REST API on port 11434 that any app can call.<\/p>\n

curl http:\/\/localhost:11434\/api\/generate -d ‘{
\n “model”: “llama3”,
\n “prompt”: “Explain VPS hosting in one sentence”
\n}’<\/div>\n

By default Ollama listens on localhost only. To call the API from another machine, set OLLAMA_HOST=0.0.0.0<\/code> in the systemd environment file at \/etc\/systemd\/system\/ollama.service.d\/override.conf<\/code>, then restart the service. Put Nginx with SSL in front of it before exposing it publicly.<\/p>\n

Performance \u2014 AMD EPYC CPU vs GPU<\/h2>\n

CPU inference on AMD EPYC 7C13 is slower than a dedicated GPU but is fully usable for personal assistants, internal tools, and low-traffic APIs. Expect roughly 5-12 tokens per second on a 7B model on Cloud S \u2014 fast enough for chat-style interaction, slower than instant for long generations. For production workloads serving many concurrent users, a GPU-backed setup is recommended; for personal use, side projects, and small team tools, CPU inference on a GigaNodes VPS India is more cost-effective than renting GPU instances.<\/p>\n

\n
Why GigaNodes for VPS India<\/div>\n

AMD EPYC 7C13 \u00b7 141,108 IOPS (2.4x faster than DigitalOcean) \u00b7 Cloudflare Magic Transit DDoS<\/a> included free \u00b7 UPI accepted \u00b7 GST invoice \u00b7 Yotta DC Noida \u00b7 Cloudflare Magic Transit DDoS protection included \u00b7 VPS from \u20b9600\/mo \u2192<\/a><\/p>\n<\/div>\n

Frequently Asked Questions<\/h2>\n
\n
Can I run Ollama on VPS India without a GPU?<\/div>\n
Yes. Ollama runs on CPU-only VPS. On GigaNodes Cloud S (8GB RAM, AMD EPYC 7C13, \u20b91,584\/mo) Llama 3 7B and Mistral 7B run without any GPU. Response is slower than GPU but works for personal use and API access.<\/div>\n<\/div>\n
\n
Which Ollama model runs on 8GB RAM VPS?<\/div>\n
Llama 3 7B and Mistral 7B both run on 8GB RAM. GigaNodes Cloud S (\u20b91,584\/mo) has 8GB DDR4 RAM on AMD EPYC 7C13 \u2014 sufficient for these models with room for the OS and Docker.<\/div>\n<\/div>\n
\n
What is the best VPS for Ollama in India?<\/div>\n
GigaNodes is the best VPS for Ollama in India \u2014 AMD EPYC 7C13 with 141,108 IOPS for fast model loading, Cloudflare Magic Transit DDoS protection, and plans from \u20b9880\/mo. Cloud S (8GB RAM, \u20b91,584\/mo) is the recommended plan for 7B models.<\/div>\n<\/div>\n
\n
How do I access Ollama from outside my VPS?<\/div>\n
By default Ollama listens on localhost only. To access from outside, set OLLAMA_HOST=0.0.0.0 in the systemd service file. Then use Nginx as a reverse proxy with SSL via Certbot for secure public access.<\/div>\n<\/div>\n
\n

Related guides<\/h3>\n
\n <\/p>\n
Comparison<\/div>\n
Best VPS Hosting India 2026<\/div>\n

<\/a>
\n <\/p>\n

Product<\/div>\n
VPS Hosting India \u2014 From \u20b9600\/mo<\/div>\n

<\/a>
\n <\/p>\n

Guide<\/div>\n
Cloudflare Magic Transit DDoS<\/div>\n

<\/a>\n <\/div>\n<\/div>\n

\n

Get the Best VPS Hosting in India<\/h3>\n

AMD EPYC 7C13 \u00b7 Cloudflare Magic Transit \u00b7 Yotta DC Noida \u00b7 UPI accepted \u00b7 GST invoice<\/p>\n

No setup fee \u00b7 Deploy in 60 seconds<\/p>\n

\n See VPS Plans \u2192<\/a>
\n Deploy Now \u2192<\/a>\n <\/div>\n<\/div>\n<\/div>\n<\/article>\n","protected":false},"excerpt":{"rendered":"

GigaNodes \u203a Blog \u203a VPS Hosting India VPS Hosting India \u00b7 June 2026 How to Run Ollama on VPS India \u2014 Host AI Models Without GPU Mayank Sharma\u00b7June 2026\u00b78 min read Direct answer Run Ollama on a best VPS hosting India plan from GigaNodes starting at \u20b9880\/mo. Cloud XS (4GB RAM) handles Phi-3 Mini. Cloud […]<\/p>\n","protected":false},"author":2,"featured_media":94,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-243","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-vps-hosting"],"_links":{"self":[{"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/posts\/243","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/comments?post=243"}],"version-history":[{"count":1,"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/posts\/243\/revisions"}],"predecessor-version":[{"id":283,"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/posts\/243\/revisions\/283"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/media\/94"}],"wp:attachment":[{"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/media?parent=243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/categories?post=243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/giganodes.host\/blog\/wp-json\/wp\/v2\/tags?post=243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}