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Create an AccountRent GPU Cloud Servers for Enterprise AI, Machine Learning & HPC
Get high-performance NVIDIA GPU cloud servers for AI training, LLM inference, machine learning, deep learning, rendering, and HPC workloads, along with 24x7 support at an affordable price. Qpeck provides enterprise grade GPU hosting featuring NVIDIA H100, H200, A100, L40S, and A40 GPUs, along with scalable AI infrastructure, GPU compute clusters, and dedicated cloud resources.
Multi GPU Clusters
2x, 4x, 8x GPU scaling for high-performance workloads
High Speed NVMe
Optimized data throughput for AI & ML pipelines
Private Environments
Isolated enterprise workloads with VLAN protection
Production Ready
Training → Inference → Scale with zero friction
GPU Cloud Pricing
Explore our NVIDIA GPU cloud plans and choose the resources that match your performance requirements. Each configuration is designed to deliver consistent compute power, high-memory capacity and reliable networking for AI, machine learning, deep learning and high-performance computing workloads.
| GPU Node | GPU Memory | vCPU | RAM | Pricing | |
|---|---|---|---|---|---|
| 1x NVIDIA H100 | 80 GB | 24 | 256 GB | $2,176 /month | Buy Now |
| 2x NVIDIA H100 | 160 GB | 48 | 512 GB | $4,353 /month | Buy Now |
| 3x NVIDIA H100 | 240 GB | 72 | 768 GB | $6,529 /month | Buy Now |
| 4x NVIDIA H100 | 320 GB | 96 | 1000 GB | $8,705 /month | Buy Now |
NVIDIA H100: Built specifically for AI and high performance computing (HPC) workloads, it comes equipped with fourth generation Tensor Cores and the advanced Transformer Engine with FP8 precision delivering faster processing and significantly improved performance for demanding tasks.
| GPU Node | GPU Memory | vCPU | RAM | Pricing | |
|---|---|---|---|---|---|
| 1x NVIDIA H200 | 141 GB | 32 | 350 GB | $2,653 /month | Buy Now |
| 2x NVIDIA H200 | 282 GB | 64 | 700 GB | $5,306 /month | Buy Now |
| 3x NVIDIA H200 | 423 GB | 96 | 1050 GB | $7,961 /month | Buy Now |
| 4x NVIDIA H200 | 564 GB | 128 | 1400 GB | $10,614 /month | Buy Now |
NVIDIA H200: Designed for massive AI training and inference workloads, it combines cutting edge GPU architecture with high bandwidth memory to handle large language models, deep learning, and data intensive applications with exceptional speed and efficiency.
| GPU Node | GPU Memory | vCPU | RAM | Pricing | |
|---|---|---|---|---|---|
| 1x NVIDIA L40S | 48 GB | 56 | 240 GB | $768 /month | Buy Now |
| 2x NVIDIA L40S | 96 GB | 112 | 480 GB | $1,537 /month | Buy Now |
| 3x NVIDIA L40S | 144 GB | 168 | 720 GB | $2,305 /month | Buy Now |
| 4x NVIDIA L40S | 192 GB | 224 | 960 GB | $3,072 /month | Buy Now |
NVIDIA L40S: Delivers powerful acceleration across multiple workloads—including large language model (LLM) training and inference, advanced graphics, and video processing—built on the latest Ada Lovelace architecture for next-level performance and efficiency.
| GPU Node | GPU Memory | vCPU | RAM | Pricing | |
|---|---|---|---|---|---|
| 1x NVIDIA A100 | 80 GB | 20 | 116 GB | $1,443 /month | Buy Now |
| 2x NVIDIA A100 | 160 GB | 40 | 232 GB | $2,886 /month | Buy Now |
| 3x NVIDIA A100 | 240 GB | 60 | 348 GB | $4,338 /month | Buy Now |
| 4x NVIDIA A100 | 320 GB | 80 | 464 GB | $5,784 /month | Buy Now |
NVIDIA A100: Built on the Ampere architecture, it features advanced Tensor Cores that dramatically accelerate AI training and inference, delivering exceptional performance for deep learning, data analytics, and scientific simulations.
| GPU Node | GPU Memory | vCPU | RAM | Pricing | |
|---|---|---|---|---|---|
| 1x NVIDIA A40 | 48 GB | 16 | 115 GB | $821 /month | Buy Now |
| 2x NVIDIA A40 | 96 GB | 32 | 230 GB | $1,641 /month | Buy Now |
| 3x NVIDIA A40 | 144 GB | 48 | 345 GB | $2,462 /month | Buy Now |
| 4x NVIDIA A40 | 192 GB | 64 | 460 GB | $3,282 /month | Buy Now |
NVIDIA A40: By bringing together professional grade graphics, advanced computing power, and AI capabilities, it's built to tackle today's most demanding design, creative, and scientific challenges with confidence and efficiency.
Need Custom GPU Cloud Configuration?
Talk to our AI Cloud team for custom deployments.
Support
Our infrastructure specialists are available to help you deploy, optimize, and scale your workloads.
NVIDIA GPU Servers for AI & Machine Learning
Run demanding AI and machine learning workloads on enterprise NVIDIA GPU servers optimized for training, fine-tuning, and inference. Our GPU cloud servers support popular frameworks including PyTorch, TensorFlow, CUDA, RAPIDS, Kubernetes, Docker, and NVIDIA NGC containers.
From generative AI applications and LLM hosting to computer vision and recommendation systems, Qpeck provides production-ready GPU infrastructure that scales from development environments to large-scale deployments.
Deploy Open Source AI Models on Qpeck
Launch state-of-the-art LLMs, vision models, and fine-tuning stacks directly on your Qpeck GPU Cloud.
Llama 3 70B
Meta AI • Text GenerationEnterprise-scale large language model for production copilots, internal knowledge assistants, RAG systems, and AI-driven automation. Designed for high-accuracy reasoning and mission-critical deployments.
Mistral 7B
Text GenerationLightweight high-performance LLM for inference-optimized workloads.
DeepSeek V3
Reasoning ModelAdvanced reasoning & coding model for production AI pipelines.
Stable Diffusion XL
Image GenerationHigh-resolution image synthesis for rendering and AI design tools.
Whisper Large
Speech-to-TextProduction-grade transcription and voice processing.
Falcon 180B
Large Language ModelMassive parameter model for enterprise AI research & deployment.
Code Llama 13B
Code GenerationAI pair-programming & code automation workloads.
Real World AI & High Performance Compute Use Cases
Purpose-built GPU infrastructure designed to support advanced AI development, model training, inference, and compute-intensive applications at scale.
Generative AI
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AI Agents
Deploy intelligent AI agents to automate customer support, internal workflows, and task execution across business systems.
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AI Text Generation
Generate marketing content, product descriptions, reports, and conversational responses at scale using advanced language models.
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AI Image & Video Generation
Create marketing visuals, product mockups, training simulations, and creative media using generative AI models.
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Audio-to-Text
Convert meetings, customer calls, and voice inputs into searchable, structured text for analytics and compliance.
Model Development & Training
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AI Fine-Tuning
Adapt foundation models to your industry data for improved accuracy in healthcare, finance, legal, or enterprise domains.
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AI/ML Frameworks
Build and deploy machine learning models using industry-standard frameworks for research, innovation, and production AI.
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GPU Programming
Develop high-performance AI applications and scientific simulations requiring parallel processing and acceleration.
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Batch Data Processing
Process large-scale datasets for AI training, analytics, reporting, and business intelligence workflows.
Compute & Rendering
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Virtual Computing
Run AI applications, simulations, and high-performance workloads in secure, GPU-powered virtual environments.
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Graphics Rendering
Render 3D assets, architectural designs, gaming environments, and visual effects with accelerated GPU performance.
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Large Dataset Processing
Analyze massive enterprise datasets to power AI models, predictive analytics, and research initiatives.
Take AI infrastructure from concept to production-grade deployment — engineered for scale, performance, and enterprise reliability.
Provision.
Launch dedicated GPU infrastructure designed for high-performance AI workloads.
Train.
Accelerate model training using multi-GPU distributed clusters.
Deploy.
Deliver scalable inference with production-ready API endpoints.
Trusted by AI Teams, Startups & Enterprises
Infrastructure powering production AI workloads across industries.
Private AI infrastructure with compliance
Isolated VPC • Security hardening • Monitoring
Building next-generation LLM products
Model training • Fine-tuning • RAG pipelines
High-availability AI APIs
Inference clusters • Auto-scaling • API gateways
Large-scale distributed training
Multi-GPU clusters • High-bandwidth fabric
GPU Cloud vs Traditional Cloud Servers
Modern AI, machine learning, and data intensive applications require significantly more computing power than standard cloud servers. GPU Cloud infrastructure is specifically designed to accelerate parallel processing workloads, enabling faster training, inference, rendering, and scientific computing compared to traditional CPU only cloud environments.
Dedicated GPU Servers & Bare Metal GPU Infrastructure
For organizations requiring maximum performance and workload isolation, Qpeck provides dedicated GPU servers and bare metal GPU infrastructure. Gain direct access to enterprise NVIDIA GPUs without resource sharing, enabling predictable performance for AI training, machine learning, rendering, and compute-intensive applications.
Our bare metal GPU servers provide full root access, dedicated networking, private environments, and customizable hardware configurations for enterprise deployments.
Accelerated Performance
Built for Production AI
10x
Faster model training cycles
Real-Time
Low latency inference
Massive
Parallel CUDA compute cores
Optimized
Higher throughput & efficiency
What Stage Is Your AI Project In?
Choose infrastructure aligned with your growth phase — from experimentation and training to production deployment and enterprise-scale AI environments.
- 01 Experimentation & Validation
- 02 Large-Scale Model Training
- 03 Production AI Deployment
- 04 Enterprise AI Infrastructure
AI Model Training
Train LLMs, vision models, speech models, recommendation engines, and foundation models using high-performance NVIDIA GPU compute infrastructure.
GPU Rendering
Accelerate 3D rendering, VFX production, animation, simulation, and visualization workloads using dedicated GPU cloud servers.
Scientific Computing
Run HPC simulations, genomics, weather forecasting, computational fluid dynamics, and engineering workloads on scalable GPU clusters.
AI Inference
Deploy production AI applications with low-latency inference infrastructure optimized for real-time predictions and generative AI.
Built for Production AI
From large-scale model training to real-time inference, our GPU clusters deliver predictable performance, secure architecture, and enterprise compliance at scale.
99.99%
Uptime SLA with redundant power & networking
24/7
Real-time GPU monitoring & performance visibility
Instant
Provision H100, A100 & L40S clusters in minutes
Isolated
Dedicated GPU infrastructure — zero shared workloads
Frequently Asked Question
Review our FAQ and Qpeck GPU cloud server for configuration and pricing.
A GPU cloud server is a virtual server equipped with dedicated NVIDIA GPUs designed to accelerate graphics processing and parallel computing tasks. It is commonly used for AI model training, deep learning, machine learning, LLM inference, scientific simulations, video rendering, and high-performance computing.
GPU cloud hosting is ideal for artificial intelligence (AI), machine learning (ML), deep learning, large language models (LLMs), image generation, computer vision, data analytics, video rendering, CAD applications, engineering simulations, and GPU-accelerated scientific research.
Yes. You can upgrade CPU, RAM, storage, and GPU resources as your workload increases. Cloud infrastructure provides the flexibility to scale your server without migrating to new hardware, ensuring your applications continue to perform efficiently.
Available options include NVIDIA H100, H200, A100, L40S, RTX 6000 Ada and other enterprise GPUs.
Yes. GPU Cloud infrastructure is designed for AI model training, inference, generative AI, computer vision, and enterprise AI applications.
GPU hosting provides access to dedicated or shared NVIDIA GPUs through cloud infrastructure, enabling organizations to run compute-intensive workloads without purchasing physical hardware.
NVIDIA H100 and H200 GPUs are commonly used for large-scale AI training, while A100 and L40S GPUs are suitable for many enterprise AI workloads.
A GPU VPS shares underlying infrastructure, whereas a dedicated GPU server provides exclusive access to GPU, CPU, memory, and storage resources.
Choosing the right GPU Cloud Provider is essential for organizations developing AI, machine learning, deep learning, and high-performance computing (HPC) applications. A reliable GPU cloud platform provides the compute power required to train AI models, deploy large language models (LLMs), accelerate inference, process massive datasets, and support other compute intensive workloads with high performance, scalability, and reliability.
As a trusted GPU Cloud Provider in India and worldwide, Qpeck offers competitive pricing, 24×7 technical support, and scalable GPU cloud infrastructure powered by enterprise NVIDIA GPUs. Our platform provides dedicated GPU resources, flexible deployment options, and production-ready environments for startups, enterprises, research institutions, and developers. Whether you need a single NVIDIA GPU Server or a multi-GPU cluster, Qpeck delivers enterprise grade, secure, high performance GPU cloud services designed for AI training, machine learning, deep learning, LLM deployment, rendering, and other compute-intensive applications.
The cost of a GPU cloud server depends on the GPU model, CPU cores, RAM, NVMe SSD storage, bandwidth, and billing duration. At Qpeck, GPU Cloud Servers start from ₹5,500/month for customers in India and $68/month for international customers, making them an affordable choice for AI, machine learning, rendering, and high-performance computing workloads.
GPU Cloud hosting pricing varies based on the server configuration and resources you choose. Factors such as GPU type, vCPU, memory, storage, operating system, and network bandwidth affect the final price. Qpeck offers transparent GPU cloud hosting pricing with no hidden setup charges and flexible plans for businesses, developers, and AI professionals.
You can request a customized GPU cloud server pricing quote based on your workload requirements. Simply choose your preferred GPU, CPU, RAM, storage, operating system, and billing period. Our team will provide a tailored quote for AI training, inference, rendering, virtualization, or enterprise applications.
Yes. Renting a cloud server allows you to access enterprise-grade computing resources without investing in expensive hardware. You can deploy a GPU cloud server within minutes, scale resources as your workload grows, and pay only for the server configuration you need.
Most GPU cloud servers can be provisioned within minutes after your order is confirmed. Once deployed, you'll receive full administrator access, allowing you to install frameworks such as CUDA, PyTorch, TensorFlow, Docker, and other development tools immediately.
Yes. Qpeck GPU Cloud Servers include full root access for Linux and full Administrator access for Windows, giving you complete control over software installation, development environments, security settings, and application deployment.
A traditional VPS relies mainly on CPU resources, while a GPU cloud server includes dedicated graphics processors capable of handling thousands of parallel operations simultaneously. This makes GPU servers significantly faster for AI training, deep learning, rendering, simulations, and other compute-intensive workloads.
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