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Benchmarking LLMs on Ollama with NVIDIA A4000 GPU VPS

As large language models (LLMs) continue to evolve, running them efficiently on GPU-optimized virtual private servers (VPS) is becoming a crucial factor for AI developers and businesses. In this benchmark, we evaluate the performance of various LLMs on Ollama using an NVIDIA A4000 GPU VPS. This test aims to help users determine the best AI models for inference, comparing key factors such as evaluation speed, GPU utilization, and overall system performance.

Test Server Configuration

For this benchmarking test, we used a high-performance A4000 VPS hosting service with the following specifications:

Server Configuration:

Price: $179/month
CPU: 24 cores
RAM: 32GB
Storage: 320GB SSD
Network: 300Mbps Unmetered
OS: Windows
Backup: Once per 2 weeks

GPU Details:

GPU: NVIDIA Quadro RTX A4000
Compute Capability: 8.6
Microarchitecture: Ampere
CUDA Cores: 6144
Tensor Cores: 192
Memory: 16GB GDDR6
FP32 Performance: 19.2 TFLOPS

This configuration ensures optimal performance for AI inference workloads, making it a solid choice for Ollama VPS hosting and LLM inference tasks.

Ollama Benchmark: Testing LLMs on NVIDIA A4000 VPS

We tested multiple Ollama-compatible LLMs on the A4000, including LLaMA 2, Mistral, DeepSeek, and Qwen. The table below summarizes key performance metrics such as CPU usage, GPU utilization, RAM consumption, and token evaluation rates.

Models	deepseek-r1	deepseek-r1	deepseek-r1	deepseek-coder-v2	llama2	llama2	llama3.1	mistral	gemma2	gemma2	qwen2.5	qwen2.5
Parameters	7b	8b	14b	16b	7b	13b	8b	7b	9b	27b	7b	14b
Size(GB)	4.7	4.9	9	8.9	3.8	7.4	4.9	4.1	5.4	16	4.7	9.0
Quantization	4	4	4	4	4	4	4	4	4	4	4	4
Running on	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11	Ollama0.5.11
Downloading Speed(mb/s)	36	36	36	36	36	36	36	36	36	36	36	36
CPU Rate	8%	7%	8%	8%	8%	8%	8%	8%	7%	70-86%	8%	7%
RAM Rate	16%	18%	17%	16%	15%	15%	15%	18%	19%	21%	16%	17%
GPU UTL	77%	78%	83%	40%	82%	89%	78%	81%	73%	1%	12%	80%
Eval Rate(tokens/s)	52.61	51.60	30.20	22.89	65.06	38.46	51.35	64.16	39.04	2.38	52.68	30.05

A video to record real-time A4000 GPU VPS resource consumption data:

Screen Shoots for Bechmarking LLMs on Ollama with Nvidia A4000 GPU VPS

Key Takeaways from the Benchmark

1. A4000 GPU Can Handle Mid-Sized Models Efficiently

The NVIDIA A4000 rental option is well-suited for 7B-14B models, maintaining high GPU efficiency (77%-89%) while delivering solid inference speeds.

2. Best Models for High-Speed Inference on A4000 VPS

The LLaMA 2 7B and Mistral 7B models performed exceptionally well, achieving evaluation speeds of 65.06 tokens/s and 64.16 tokens/s, respectively. Their balance between GPU utilization and inference speed makes them ideal for real-time applications on an Ollama A4000 VPS.

3. DeepSeek-Coder Is Efficient But Slower

DeepSeek-Coder 16B had a relatively low GPU utilization (40%), but it also had a lower eval rate of 22.89 tokens/s. This model may be more memory-efficient, but it's not the best choice if speed is a priority.

4. 24B+ Large Models Struggle

Models with over 24 billion parameters showed significantly lower evaluation speeds. For instance, Gemma2 27B had an evaluation rate of only 2.38 tokens/s, which is not practical for real-time applications on an A4000 for LLM inference.

Is NVIDIA A4000 VPS Good for LLM Inference?

✅ Pros of Using NVIDIA A4000 for Ollama

Excellent performance for 7B-14B models like LLaMA 2 and Mistral
Cost-effective Ollama VPS hosting option compared to higher-end GPUs
Good balance between GPU utilization and token evaluation rate

❌ Limitations of NVIDIA A4000 for Ollama

Struggles with large models (24B+)
Performance can drop significantly for complex LLMs like DeepSeek-Coder

For those looking for a reliable and affordable Ollama VPS hosting solution, the NVIDIA A4000 VPS is a great choice, particularly for 7B and 14B models. If you plan to deploy larger models, you may need a more powerful GPU VPS hosting service, such as an RTX4090 or A100 instance.

Recommended Use Cases for A4000 VPS in AI

Chatbots & AI Assistants (LLaMA 2 7B, Mistral 7B)
Code Completion & AI Coding (DeepSeek-Coder 16B)
AI Research & Experimentation (Qwen 7B, Gemma 9B)

If you’re interested in renting an A4000 for LLM inference, check out our affordable NVIDIA A4000 rental plans optimized for Ollama benchmarks.

Get Started with A4000 VPS Hosting for LLMs

For those deploying LLMs on Ollama, choosing the right NVIDIA A4000 VPS hosting solution can significantly impact performance and costs. If you're working with 7B-14B models, the A4000 is a solid choice for AI inference at an affordable price.

Professional GPU VPS - RTX A4000

$ 119.00/mo

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GPU: RTX A4000
CPU: 24 CPU Cores
Memory: 28GB RAM
Disk: 320GB SSD
Bandwidth: 300Mbps Unmetered
GPU Memory: 16 GB GDDR6

IP: 1 Dedicated IPv4
Location: USA
Backup: Once per 2 Weeks

Advanced Dedicated GPU Server - V100

$ 229.00/mo

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GPU: V100
CPU: 2 x 12-Core E5-2690v3
Memory: 128GB RAM
Disk: 240GB SSD+2TB SSD
Bandwidth: 100Mbps Unmetered
GPU Memory: 16 GB HBM2

IP: 1 Dedicated IPv4
Location: USA

Enterprise Dedicated GPU Server - RTX 4090

$ 409.00/mo

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GPU: RTX 4090
CPU: 2 x 18-Core E5-2697v4
Memory: 256GB RAM
Disk: 240GB SSD+2TB NVMe+8TB SATA
Bandwidth: 100Mbps Unmetered
GPU Memory: 24 GB GDDR6X

IP: 1 Dedicated IPv4
Location: USA

Enterprise Dedicated GPU Server - A100

$ 639.00/mo

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GPU: A100
CPU: 2 x 18-Core E5-2697v4
Memory: 256GB RAM
Disk: 240GB SSD+2TB NVMe+8TB SATA
Bandwidth: 100Mbps Unmetered
GPU Memory: 40 GB HBM2

IP: 1 Dedicated IPv4
Location: USA

Final Thoughts

This benchmark clearly shows that NVIDIA A4000 VPS hosting can be an excellent choice for those running medium-sized AI models on Ollama. If you’re looking for a cost-effective VPS with solid LLM performance, A4000 VPS hosting should be on your radar. However, larger models (24B-32B) may require a more powerful GPU solution.

For more Ollama benchmarks, GPU VPS hosting reviews, and AI performance tests, stay tuned for future updates!

Tags:

ollama vps, ollama a4000, a4000 vps hosting, benchmark a4000, ollama benchmark, a4000 for llms inference, nvidia a4000 rental, gpu vps for ai, ollama model performance, deep learning vps, ollama deployment on a4000

Last Updated: 10/21/2026

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