Ollama GPU Hosting
Ollama Hosting puts you in control of AI—ownership of your models, your data, and your costs—while still delivering a modern, cloud-like developer experience. It is ideal for teams that want powerful large language models without vendor lock-in, runaway API bills, or privacy compromises.
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Price Plans
2x A100 80GB
Best for AI, data analytics, and HPC.
$2500 / month
- 2x Xeon Gold 6336Y
- 256GB DDR4
- 1TB SSD
- Unlimited 1 Gbps uplink
- 1 IPv4
- Linux & Windows available
- Self-managed
2x NVIDIA A40
Best for 3D-visualization and animation.
$1000 / month
- 2x Xeon Gold 6326
- 128GB DDR4
- 1TB SSD
- Unlimited 1 Gbps uplink
- 1 IPv4
- Linux & Windows available
- Self-managed
2x RTX 6000 Ada Lovelace
Best for graphics and animation.
$1400 / month
- 1x Xeon Silver 4410T
- 128GB DDR4
- 1TB SSD
- Unlimited 1 Gbps uplink
- 1 IPv4
- Linux & Windows available
- Self-managed
2x RTX A6000
Best for compute-intensive tasks.
$1000 / month
- 1x Xeon Gold 6226R
- 256GB DDR4
- 1TB SSD
- Unlimited 1 Gbps uplink
- 1 IPv4
- Linux & Windows available
- Self-managed
1x RTX A4000
Best for real-time ray tracing, and AI.
$270 / month
- 1x Xeon Silver 4114
- 128GB DDR4
- 1TB SSD
- Unlimited 1 Gbps uplink
- 1 IPv4
- Linux & Windows available
- Self-managed
1x RTX 4000 SFF Ada Lovelace
Performance for endless possibilities.
$320 / month
- 1x Xeon Silver 4410T
- 128GB DDR4
- 1TB SSD
- Unlimited 1 Gbps uplink
- 1 IPv4
- Linux & Windows available
- Self-managed
1x RTX 6000 Pro Blackwell
Best for compute-intensive tasks.
$1000 / month
- 1x Xeon Gold 6226R
- 256GB DDR4
- 1TB SSD
- Unlimited 1 Gbps uplink
- 1 IPv4
- Linux & Windows available
- Self-managed
Ollama GPU Hosting: The Smarter Way to Run Powerful AI
Every month, more teams hit the same wall: cloud AI bills are exploding, latency is hurting user experience, and legal or compliance teams are on edge about sending sensitive data to third‑party providers. At the same time, you still need reliable, production‑grade AI running 24/7 to stay competitive. This is exactly where Ollama GPU Hosting changes the game.
Ollama lets you run leading open‑source language models—such as Llama, Mistral, DeepSeek, Gemma, and more—directly on dedicated GPUs you control, instead of paying per‑token fees to external APIs. You keep your data, you control your infrastructure, and you stop burning budget on unpredictable usage charges.
Salient Features
Multi‑GPU Scaling and Parallel Processing
Ollama‑ready GPU servers are built to scale horizontally using technologies like NVLink, PCIe Gen4/5, NCCL (NVIDIA), and RCCL (AMD), allowing workloads to be distributed across multiple GPUs. This parallelism is essential for real‑time production deployments where you must handle many concurrent sessions and high token throughput.
Optimized for Low‑Latency Inference
Compared with CPU‑only setups, GPU servers provide massively parallel computation that cuts model loading and response times dramatically, enabling near real‑time inference even for multi‑billion‑parameter models. This low latency is critical for chatbots, copilots, and interactive applications where user experience directly affects conversion and retention.
Ready‑to‑Use Ollama Environments
Many Ollama GPU hosting providers ship servers with pre‑installed drivers, CUDA/ROCm, and popular models (Llama, Gemma, Qwen, DeepSeek, Phi) already configured. This “turnkey” setup eliminates complex installation steps so teams can move from provisioning to live inference in hours instead of days.
Enterprise‑Grade CPU, RAM, and Storage
Ollama GPU servers usually pair powerful multi‑core CPUs (16–96 cores), 128–512 GB RAM, and fast NVMe or SSD storage to keep data pipelines feeding the GPU efficiently. This balanced architecture avoids bottlenecks, supports multi‑tenant workloads, and ensures stable performance under sustained production load.
High VRAM for Large Models
GPU servers designed for Ollama typically offer 24–192 GB of VRAM, enabling smooth deployment of large models like Llama 70B, Mixtral, and DeepSeek with minimal or no sharding. This capacity lets teams serve multi‑user and enterprise workloads without constant memory tuning or downsizing models.
NVIDIA CUDA and AMD ROCm Support
Modern Ollama GPU servers support both NVIDIA CUDA and AMD ROCm stacks, giving customers flexibility in hardware choice and budget. This dual compatibility means you can optimize for either ecosystem while still benefiting from accelerated inference, mixed‑precision (FP16/INT8), and mature tooling.
Advantages of Ollama GPU Server Hosting
Keep Your Data In‑House, Stay in Control
When you send prompts and documents to third‑party APIs, you accept that your most valuable asset—your data—leaves your environment. With Ollama GPU hosting, everything runs on your own machines or trusted dedicated servers, dramatically reducing risk and simplifying compliance.
- All prompts, documents, and outputs stay within your infrastructure, giving you true data sovereignty.
- Ideal for finance, healthcare, legal, government, and any industry where privacy and regulation matter.
- Avoid vendor lock‑in and keep the freedom to switch or upgrade models whenever you choose.
Instead of designing your product around a provider’s limits, you design your stack around your own business needs.
Available Operating Systems
Operating Systems
- AlmaLinux
- Rocky Linux
- Ubuntu Linux
- Red Hat
- CentOS
- Kali Linux
Slash AI Costs While Boosting Performance
Usage‑based APIs look cheap at first—until your traffic grows. As calls scale, the bill often becomes one of the largest line items in your budget. With Ollama GPU hosting, you replace runaway usage fees with predictable infrastructure costs.
- Run multiple high‑quality models on the same GPU servers and serve millions of requests for a fraction of typical API pricing.
- Reuse the same hardware for multiple applications: chatbots, internal copilots, RAG systems, and content generation engines.
- Take advantage of powerful NVIDIA or AMD GPUs that are optimized for LLM inference, giving you much better cost‑per‑request than generic cloud APIs.
As your usage grows, your average cost per request drops instead of skyrocketing.
Benefits of Computeman Ollama Hosting
- High‑speed AI on demand
- Massively cheaper GPU servers at scale
- Flexible, future‑proof stack
- Private, compliant by design
Frequently Asked Questions
What Exactly Is Ollama GPU Server Hosting?
Ollama GPU server hosting gives you dedicated GPU servers pre-configured to run open-source large language models (LLMs) like Llama 3.2, Mistral, DeepSeek, and Gemma through the Ollama platform. Instead of paying per-token fees to cloud APIs or wrestling with complex setups, you get enterprise-grade NVIDIA/AMD GPUs optimized for AI inference, complete with Ollama’s simple CLI and REST API endpoints. Deploy in minutes, scale as needed, and keep full control over your data and costs.
Is Ollama GPU Hosting Secure for Sensitive Data?
100% data security—nothing leaves your infrastructure. Perfect for HIPAA, GDPR, finance, or government use cases where compliance demands on-premises control. Ollama runs fully offline/air-gapped, with no telemetry or external dependencies. Audit logs, encryption, and VPC isolation come standard on enterprise hosting plans.
Can Ollama Replace My Current Cloud AI Provider?
Yes—for 90% of inference use cases (chatbots, RAG, code gen, analytics). You’ll save 95%+ on costs, cut latency 10x, and eliminate vendor risk. Training/fine-tuning? Pair with cloud for those rare bursts. Most teams run hybrid: Ollama for production inference, cloud for dev/experiments.
What Kind of Performance Can I Expect?
Sub-50ms latency for interactive applications and 10-100x faster inference than CPU-only setups. Servers with RTX A6000 (48GB VRAM) handle Llama 70B at production speeds; H100s crush multi-user workloads. Real-world: customer support bots respond instantly, code assistants feel native, and RAG pipelines process documents in seconds—without the network lag of remote APIs.
What Models Can I Run on Ollama GPU Servers?
Every major open-source LLM: Llama 3.2 (1B-405B), Mistral variants, Mixtral 8x22B, DeepSeek R1, Gemma 2, Phi-3, Qwen 2.5, and 500+ more from Ollama’s library. Mix multiple models on one server. Create custom Modelfiles for fine-tuned behaviors without retraining. Switch models instantly—no vendor approval needed.
How Do I Scale for Production Workloads?
Horizontal scaling built-in: Add GPUs via NVLink/PCIe, distribute across nodes with NCCL/RCCL, or orchestrate via Kubernetes. Start with 1x RTX 4090 for prototypes ($1,600), scale to 8x H100 clusters for enterprise. Handle 1B+ tokens/month on mid-tier hardware while maintaining 99.9% uptime.
Testimonials
“Excellent service and no complaints!”
Xing Mao
Atlanta, GA
“Reliable provider with zero downtime.”
John Cooper
Springfield, IL