Intel Xeon CPU
Intel Xeon has extraordinary processing power and speed, which is very suitable for running deep learning frameworks. So you can totally account on our Intel-Xeon-powered GPU servers for LLaMA 2.
LLaMA 2 Hosting, Host Your Own Oobabooga AI
Llama 2 is a superior language model compared to chatgpt. With its open-source nature and extensive fine-tuning, llama 2 offers several advantages that make it a preferred choice for developers and businesses. GPUMart provides a list of the best budget GPU servers for LLama 2 to ensure you can get the most out of this great large language model.
Choose Your LLaMA 2 Hosting Plans
GPUMart offers best budget GPU servers for LLaMA 2. Cost-effective hosting of LLaMA 2 cloud is ideal for hosting your own Oobabooga AI online.
Basic GPU - RTX 4060
$ 149.00/mo
1m3m12m24m
Order Now- 64GB RAM
- Eight-Core E5-2690report
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia GeForece RTX 4060
- Microarchitecture: Ada Lovelace
- Max GPUs: 2report
- CUDA Cores: 3072
- Tensor Cores: 96
- GPU Memory: 8GB GDDR6
- FP32 Performance: 15.11 TFLOPSreport
Advanced GPU - A4000
$ 209.00/mo
1m3m12m24m
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A4000
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPSreport
Advanced GPU - A5000
$ 269.00/mo
1m3m12m24m
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A5000
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPSreport
Enterprise GPU - A40
$ 439.00/mo
1m3m12m24m
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia A40
- Microarchitecture: Ampere
- Max GPUs: 1
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 37.48 TFLOPSreport
Enterprise GPU - RTX A6000
$ 409.00/mo
1m3m12m24m
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A6000
- Microarchitecture: Ampere
- Max GPUs: 1
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPSreport
New Arrival
Multi-GPU - 3xRTX A5000
$ 539.00/mo
1m3m12m24m
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: 3 x Quadro RTX A5000
- Microarchitecture: Ampere
- Max GPUs: 3report
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPSreport
New Arrival
Multi-GPU - 3xRTX A6000
$ 899.00/mo
1m3m12m24m
- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: 3 x Quadro RTX A6000
- Microarchitecture: Ampere
- Max GPUs: 3report
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPSreport
6 Reasons to Choose our GPU Servers for LLaMA 2 Hosting
GPUMart enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
SSD-Based Drives
You can never go wrong with our own top-notch dedicated GPU servers for LLaMA 2, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and 256 GB of RAM per server.
Full Root/Admin Access
With full root/admin access, you will be able to take full control of your dedicated GPU servers for LLaMA 2 very easily and quickly.
99.9% Uptime Guarantee
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for Stable Diffusion hosting service.
Dedicated IP
One of the premium features is the dedicated IP address. Even the cheapest GPU hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.
24/7/365 Technical Support
GPUMart provides round-the-clock technical support to help you resolve any issues related to LLaMA 2 cloud.
What Can You Use Hosted LLaMA 2 For?
Llama 2’s availability as an open-source model, along with its licensing agreement allowing for research and commercial use, makes it an attractive choice for individuals, small businesses, and large enterprises looking to harness the power of natural language processing.
check_circleChatbots and Customer Service
Llama 2 can power intelligent chatbots and virtual assistants, providing efficient and accurate responses to user queries. Its improved performance and safety make it ideal for delivering exceptional customer service experiences.
check_circleNatural Language Processing (NLP) Research
Researchers and developers can utilize llama 2’s open-source code and extensive parameters for exploring new advancements in natural language processing, generating conversational agents, and conducting language-related experiments.
check_circleContent Generation
Llama 2 can be harnessed to generate high-quality content, such as articles, essays, and creative writing. It can assist writers in brainstorming ideas, providing prompts, and enhancing the overall writing process.
check_circleLanguage Translation
With its ability to comprehend and generate human-like responses, llama 2 can be employed in language translation tasks, enabling more accurate and contextually relevant translations.
check_circleData Analysis and Insights
Llama 2 can assist in analyzing and extracting insights from large amounts of text data, aiding businesses in decision-making processes, sentiment analysis, and trend identification.
check_circleVarious Industries
Llama 2’s potential extends to various industries, including:E-commerce,Healthcare,Education,Financial Services,Media and Entertainment,etc.
Advantages of Llama 2 over ChatGPT
Llama 2 and ChatGPT are both large language models that are designed to generate human-like text. However, there are key differences between the two.
Open-source
Unlike chatgpt, which is a closed product, llama 2 is an open-source model. This means that developers can download and build their applications upon it without any restrictions.
Extensive fine-tuning
Llama 2 has been heavily fine-tuned to align with human preferences, enhancing its usability and safety. This makes it more suitable for various business applications.
Versatility
Llama 2 comes in three variations – 7 billion, 13 billion, and 70 billion parameters, with the latter being the most capable one. This versatility allows developers to choose the model that best suits their needs and requirements.
Free for research and commercial use
The licensing agreement for llama 2 allows both research and commercial use without any cost involved. This provides a cost-effective solution for building chatbots and other AI-powered applications.
How to Run LLaMA 2 in Oobabooga AI Online
We will go through how to install the popular text generation webui Oobabooga on Windows/Linux step-by-step.
Order and Login GPU Server
Clone TextGen WebUI Oobabooga
Download LLMs Model Files
Run TextGen WebUI Oobabooga
FAQs of LLaMA 2 Hosting
The most commonly asked questions about GPUMart Llama 2 cloud hosting service below.
What is Llama 2?
Llama 2 is a family of generative text models that are optimized for assistant-like chat use cases or can be adapted for a variety of natural language generation tasks. It is a family of pre-trained and fine-tuned large language models (LLMs), ranging in scale from 7B to 70B parameters, from the AI group at Meta, the parent company of Facebook.
Is Llama 2 free for commercial use?
Llama 2 is available for free for research and commercial use. This release includes model weights and starting code for pretrained and fine-tuned Llama language models (Llama Chat, Code Llama) — ranging from 7B to 70B parameters.
How good is Llama 2?
Llama 2 outperforms other open source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests.
Is Llama 2 better than ChatGPT?
Since LLaMa 2 is trained using more up-to-date data than ChatGPT, it is better if you want to produce output relating to current events. It can also be fine-tuned using newer data.
What is text-generation-webui Oobabooga?
Oobabooga is a Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models. Its goal is to become the AUTOMATIC1111/stable-diffusion-webui of text generation.
What size Llamma 2 model should you choose?
The differences between the Llamma 2 series models are listed below, which can be used as a guideline for selection:
- Llama 2 7b is fast but lacks depth and is suitable for basic tasks such as summarization or classification.
- Llama 2 13b strikes a balance: it's better at grasping nuances than 7b, and while some output can feel a bit abrupt, it's still quite conservative overall. This variant performs well in creative activities, such as writing stories or poems, even if it is slightly slower than 7b.
- Llama 2 70b is the smartest version of Llama 2 and the most popular version among users. This variant is recommended for use in chat applications due to its proficiency in handling conversations, logical reasoning, and coding.
- Llama 2 7b is fast but lacks depth and is suitable for basic tasks such as summarization or classification.
- Llama 2 13b strikes a balance: it's better at grasping nuances than 7b, and while some output can feel a bit abrupt, it's still quite conservative overall. This variant performs well in creative activities, such as writing stories or poems, even if it is slightly slower than 7b.
- Llama 2 70b is the smartest version of Llama 2 and the most popular version among users. This variant is recommended for use in chat applications due to its proficiency in handling conversations, logical reasoning, and coding.
How much graphics memory should be used for inference scenarios?
There is a simple conversion method: different dtypes, each 1 billion parameters require memory as follows:
- float32 4G
- fp16/bf16 2G
- int8 1G
- int4 0.5G
Then, if the 7B model uses int8 precision, it will require 1G*7 = 7G of video memory. An RTX 4060 can do it.
- float32 4G
- fp16/bf16 2G
- int8 1G
- int4 0.5G
Then, if the 7B model uses int8 precision, it will require 1G*7 = 7G of video memory. An RTX 4060 can do it.