High-performance GPUs
Support Hopper and Blackwell classes for training, fine-tuning, inference, and accelerated compute.
NVIDIA data center GPU compute
GPU rental Built for AI workloads
Access NVIDIA H100, H200, B100, B200, and B300 GPU resources for LLM training, fine-tuning, inference, scientific computing, and enterprise AI platforms.
Single GPU / multi-GPU / full server
Flexible configurations
Deployment support
VMRACK GPU Compute
H100
Proven choice for training and inference
GPU
H200
Larger memory for bigger models
GPU
B100
Blackwell generation AI compute
GPU
B200
Flagship performance at scale
GPU
B300
Next flagship for future AI clusters
GPU
GPU infrastructure for demanding compute workloads
Match GPU, CPU, memory, storage, and networking to your model size, workload profile, and delivery timeline.
Flexible deployment
Choose single-card, multi-card, or full-server options with the right CPU, memory, and storage mix.
High-speed networking
Designed for distributed training, data transfer, remote access, and workload delivery.
Operational support
Get help with base system setup, runtime environment preparation, and infrastructure troubleshooting.
Choose GPU capacity that fits your workload
Each GPU line targets different memory, throughput, and deployment needs, from evaluation to large-scale production.
Proven choice
GPU
H100
Enterprise AI training and inference
Well suited for LLM training, model fine-tuning, generative AI, deep learning, and general accelerated computing.
LLM training
Model fine-tuning
Generative AI
Scientific computing
Large memoryRecommended
GPU
H200
Large-model and high-throughput inference
Larger memory capacity and bandwidth make it a strong fit for long-context and memory-intensive AI workloads.
Large-model inference
Long-context workloads
RAG systems
High-performance computing
Next-gen
GPU
B100
Blackwell generation AI compute
Designed for next-generation generative AI, LLMs, and high-density compute projects.
Next-gen training
Multimodal models
Large-scale inference
Enterprise AI platforms
Flagship
GPU
B200
Compute platform for very large models
Built for large-parameter models, distributed training, high-concurrency inference, and AI infrastructure projects.
Large-model training
Distributed compute
High-concurrency inference
AI platforms
Next flagship
GPU
B300
Flagship compute for future AI clusters
Targeted at future large-scale training, high-throughput inference, and next-generation AI data center deployments.
Future large-model training
AI cluster deployment
Ultra-high concurrency inference
Enterprise AI infrastructure
| GPU model | Positioning | Recommended workloads | Rental options |
|---|---|---|---|
| H100 | Mature high-performance AI GPU | Training, fine-tuning, inference, scientific computing | Single / multi / full server |
| H200 | Large-memory, high-bandwidth compute | Large models, long context, memory-heavy workloads | Single / multi / full server |
| B100 | Next-gen Blackwell compute | Next-gen training, inference, multimodal workloads | Multi / full server / custom |
| B200 | High-performance Blackwell GPU | Very large models, distributed training, high-concurrency inference | Multi / full server / cluster |
| B300 | Next flagship AI GPU | Future large-scale training, AI clusters, ultra-high-throughput inference | Full server / cluster / custom |
Built for AI and accelerated computing scenarios
From model validation to production deployment, choose capacity that matches each stage.
01 / TRAINING
LLM training
Support large-scale pretraining, continual training, and domain-specific model development with multi-GPU capacity.
02 / FINE-TUNING
Model fine-tuning
Support LoRA, QLoRA, full fine-tuning, and private enterprise datasets.
03 / INFERENCE
AI inference
Fit for intelligent assistants, document analysis, content generation, code generation, and inference APIs.
04 / RAG
RAG and knowledge systems
Provide compute for embeddings, retrieval, reranking, and language-model inference.
05 / GENERATION
Image and video generation
Support text-to-image, video generation, digital humans, and multimodal media workflows.
06 / HPC
Scientific and engineering compute
Good for life sciences, simulation, analytics, and other GPU-accelerated workloads.
More than GPU supply, a full deployment plan
Cover compute, storage, networking, and runtime setup in one delivery path.
Flexible resource mix
Scale GPU count, CPU cores, memory, local NVMe, and bandwidth around the workload.
Multiple rental models
Start from a single card, small fine-tuning setup, or scale to full multi-GPU servers.
Fast storage options
Choose NVMe and related storage capacity based on dataset and model file size.
Network and remote access
Support public access, dedicated IP, internal networking, and remote operations.
Base environment setup
Assist with Linux, NVIDIA Driver, CUDA, Docker, and base development environment setup.
Custom commercial plans
Offer custom delivery and pricing for long-term rental, large GPU demand, and cluster projects.
How GPU rental works
Move from requirements to delivery with a clear, predictable process.
01
Share requirements
Provide preferred GPU model, quantity, term, and workload details.
02
Solution review
Match memory, compute, and networking needs to a practical recommendation.
03
Confirm configuration
Lock compute, storage, network, and service duration.
04
Deploy and deliver
Provision the server and prepare the base runtime environment.
05
Ongoing support
Receive infrastructure support during the service period.
FAQ
Key details about rental terms, setup, and configuration choices.
Rental duration depends on GPU model, quantity, and available inventory. Short tests, monthly plans, and longer commercial terms can all be discussed.
Yes, subject to inventory. H100 and H200 are better aligned with single-card or smaller deployments, while B100 and B200 are more commonly used in larger configurations.
We can help prepare Linux, NVIDIA Driver, CUDA, Docker, and a base runtime environment. Application frameworks and business software remain workload-specific.
Choose H100 for broadly proven training and inference use cases. Choose H200 when larger memory capacity matters more for large-model inference or long-context workloads.
Yes. For long-term rental, multi-server networking, and cluster projects, custom configuration and commercial delivery can be arranged.
Get the right GPU plan for your workload
Tell us the GPU model, quantity, usage term, and workload you need. VMRACK will recommend a practical resource configuration for your project.
Final GPU models, memory specifications, server configuration, pricing, and delivery timeline depend on actual resource availability and the confirmed plan.
Always Here, Always Ready
Our O&M experts are available 24/7 via multi-channel communication to solve any issue – fast. Because your business never stops, and neither do we.
Resolved in Record Time
Our support team delivers some of the fastest resolution times in the industry – whether by phone, email, or chat. Your time matters, and we prove it.
Available 24/7/365
Our support staff is available around the clock, 365 days a year to help and support you when you need it the most.
Experts Who Get You
From tech veterans to beginners, our diverse support team has the skills and patience to solve your challenges.
