Enterprise-Grade NVIDIA GPUs for AI Workloads
Deploy H100, A100, L40S, and L4 instances in minutes. Per-second billing with no commitments. Pre-installed with PyTorch, TensorFlow, JAX, and Jupyter. SSH access available in seconds.
Built for AI Teams
Whether you're training a large language model, running real-time inference, or rendering 3D content — GPUnex provides the GPU compute you need without the overhead of managing your own infrastructure. Our marketplace aggregates GPU supply from 150+ verified data centers, giving you access to capacity that's otherwise locked up in multi-year hyperscaler contracts.
Available GPU Models
Enterprise NVIDIA GPUs verified through automated benchmarks and deployed in trusted data centers.
NVIDIA H100 80GB SXM
NVIDIA A100 80GB
NVIDIA A100 40GB
NVIDIA L40S 48GB
NVIDIA L4 24GB
GPU Performance Comparison
Relative performance based on FP16/BF16 throughput. Actual performance varies by workload type.
GPU Compute for Every Workload
From training billion-parameter models to rendering photorealistic scenes — we have the right GPU for your task.
AI Model Training
Train large language models, computer vision models, and foundation models on multi-GPU clusters. Our H100 and A100 GPUs with NVLink and InfiniBand interconnect deliver the bandwidth needed for distributed training at scale.
AI Inference
Deploy models for production inference with low latency and auto-scaling. Our L40S and A100 GPUs are optimized for high-throughput inference workloads. Support for batch inference and real-time serving.
3D Rendering
Accelerate Blender, OctaneRender, V-Ray, and other GPU-rendered workflows. Our L40S GPUs with 48GB VRAM handle complex scenes and high-resolution output with dedicated GPU access.
Research & Academia
Jupyter notebooks, SSH access, and persistent storage for research workflows. Flexible environments for experimentation, prototyping, and academic computing with affordable per-second billing.
Batch Processing
Run ETL pipelines, data processing, and batch computation workloads with fault-tolerant GPU compute. Spot instances offer significant savings for interruptible workloads with auto-checkpointing.
Fine-tuning
Fine-tune foundation models with LoRA, QLoRA, and full fine-tuning approaches. Pre-built templates and environments get you started in minutes. Persistent storage keeps your model checkpoints safe.
Flexible Pricing
Choose the pricing model that fits your workload. No hidden fees, no surprises.
On-Demand
Pay per-second with no minimum commitment. Guaranteed availability. Perfect for variable workloads and experimentation. Start and stop anytime.
- ✓ No minimum rental period
- ✓ Per-second billing
- ✓ Guaranteed availability
- ✓ Full SSH access
Reserved
Commit to days, weeks, or months for significant discounts. Guaranteed capacity with priority scheduling. Ideal for production workloads.
- ✓ Up to 40% discount
- ✓ Guaranteed capacity
- ✓ Priority scheduling
- ✓ Flexible commitment periods
Spot
Access unused GPU capacity at steep discounts. 30-second preemption warning with auto-checkpoint support. Great for batch processing and fault-tolerant workloads.
- ✓ Up to 70% savings
- ✓ 30s preemption warning
- ✓ Auto-checkpoint support
- ✓ Automatic restart
Start in 3 Steps
Search & Filter
Browse available GPUs by model, VRAM, region, and price. Find the perfect configuration for your workload.
Deploy Container
Launch your instance with pre-installed frameworks or a custom Docker image. SSH access is available within seconds.
Pay Per-Second
Only pay for what you use with transparent, per-second billing. No hidden fees, no long-term commitments.
Multi-GPU Clusters
Scale to clusters of up to 8x H100 GPUs with NVLink and InfiniBand interconnect for distributed training workloads. Our clusters deliver the bandwidth and low-latency communication needed for training large foundation models efficiently.
- ✓ Up to 8x H100 80GB SXM per node
- ✓ NVLink for intra-node communication
- ✓ InfiniBand for inter-node networking
- ✓ Dedicated cluster management
Frequently Asked Questions
How quickly can I get GPU access?
Is there a minimum rental period?
What software comes pre-installed?
Is persistent storage available?
What happens if my spot instance is preempted?
What payment methods do you accept?
Can I scale to multi-GPU clusters?
What support is available?
Ready to Deploy?
Apply for GPU access and deploy your first instance in minutes. Our team reviews applications within 24-48 hours.