Nova Series GPU VMs deliver extreme performance engineered for deep learning training, model fine-tuning, post-training optimizations, and compute-intensive AI workloads at scale.
Nova Series: High-Performance GPU Virtual Machines
Nova Series GPU virtual machines deliver extreme compute performance engineered for deep learning training, fine-tuning, post-training, and compute-intensive AI workloads at scale.
Use Case FocusIdeal for Large Language Models, Multimodal Architectures, Distributed Deep Learning, and High-Performance Computing.
Overview
Dataoorts Nova Series virtual machines are purpose-built to provide maximum compute density, low latency, and high memory bandwidth for mission-critical AI operations. Designed to handle large foundational models and complex matrix operations, the Nova Series eliminates hardware bottlenecks to enable faster iteration cycles and seamless deployment.
Key Capabilities
- Large-Scale Model Training: Accelerate end-to-end distributed training pipelines for foundational LLMs, generative models, and vision transformers.
- Fine-Tuning & Customization: Adapt state-of-the-art base models to domain-specific datasets using full-parameter fine-tuning, LoRA, or QLoRA.
- Post-Training & Alignment: Execute RLHF (Reinforcement Learning from Human Feedback), DPO (Direct Preference Optimization), and quantization pipelines with optimized memory throughput.
- High-Performance Computing (HPC): Run intensive scientific simulations, deep learning research, and high-throughput vector processing.
Technical Specifications and Platform Features
| Feature | Technical Advantage |
|---|---|
| Top-Tier GPU Architecture | Equipped with High-Bandwidth Memory (HBM) to support massive datasets and model weights without thrashing. |
| Automated Lifecycle Management | Complete programmatic control to provision, hibernate, awake, or terminate instances on demand via API. |
| Integrated Block Storage | Low-latency persistent volume attachments within the same cloud region for high IOPS workloads. |
| Transparent Hourly Billing | Cost-effective pricing with granular tracking and instant balance rebate options upon hibernation. |
Summary and Getting Started
The Nova Series provides the essential GPU infrastructure needed to scale modern AI workloads from experimental research to enterprise-grade production. By combining scalable compute with flexible regional volume attachments and automated programmatic control, teams can run complex training and alignment jobs with maximum resource efficiency and minimal configuration overhead.
