On-demand GPU virtual machines
Choose from listed NVIDIA GPU configurations, including H200, H100, RTX Pro 6000 SE, A100, L40, A6000, A4000, B200, and B300 options. GPU specifications vary by model and include published VRAM, CPU, and RAM limits.
Hyperstack
Freemium
Hyperstack is a cloud GPU platform for running AI and machine learning workloads, including training, inference, data analytics, and model development. It also provides AI Studio, virtual machines, and managed Kubernetes for deploying and operating GPU-backed workloads.
什么是 Hyperstack？
Hyperstack is a cloud GPU platform for AI, machine learning, deep learning, high-performance computing, rendering, simulations, data analytics, and virtual workstations. Users can provision GPU-backed virtual machines and configure environments for training, inference, model analysis, and other compute-intensive workloads.
The platform includes AI Studio, a full-stack environment for building and launching custom AI applications without managing the underlying infrastructure. AI Studio brings training, deployment, monitoring, and fine-tuning into one workflow, with token-based pricing for listed models and separate per-minute fine-tuning pricing.
Hyperstack also offers managed Kubernetes for virtual machine clusters, along with configurable GPU and CPU resources, storage, snapshots, role-based access control, APIs, and environment organization. Its cloud GPU pricing supports on-demand, reservation, and spot VM options, with usage billed by the minute for on-demand services. Infrastructure is listed in data centres in Europe and North America and is described as powered by renewable energy.
Hyperstack 能做什么？
AI Studio workflow
Build and launch custom AI applications in a managed environment that combines training, deployment, monitoring, and fine-tuning without requiring users to manage all infrastructure directly.
Flexible purchasing models
Use on-demand GPU VMs, reserve capacity at starting rates, or select listed spot VM options. On-demand usage is billed per minute, while longer-term reservations are invoiced monthly.
Managed Kubernetes
Deploy virtual machine clusters and automate software deployment, scaling, and management through an on-demand Kubernetes service with a free master node listed on the pricing page.
Developer and operations controls
The platform lists one-click deployment, pre-configured SKUs, custom-build flavours, role-based access control, resource callbacks, environment organization, a first-class API, and human support.
使用场景
“Model training and fine-tuning”
Run neural-network and generative-AI training workloads on multi-GPU infrastructure, then use AI Studio’s fine-tuning workflow where appropriate. The platform lists dedicated fine-tuning pricing per minute.
“Real-time AI inference”
Configure GPU environments for scalable inference, including generative AI, conversational AI, natural-language processing, image recognition, and speech-related workloads.
“Large-scale data analytics”
Process extensive datasets, support anomaly detection, and accelerate deep video analytics with GPU virtual machines or VM clusters.
“Scientific computing and simulation”
Use GPU and HPC resources for scientific or medical research, engineering simulations, architecture, design visualization, and other compute-intensive analysis.
“Rendering and remote workstations”
Use NVIDIA RTX-based SKUs for 3D visuals, game development, photorealistic rendering, and film production, or create high-performance virtual workspaces accessible remotely.
常见问题
How is Hyperstack billed?
On-demand platform usage is billed per minute. The pricing page also lists hourly GPU rates, reservation starting rates, spot VM prices, CPU, storage, and other service charges. Longer-term reservations are invoiced monthly.
Does Hyperstack charge for bandwidth or data transfer?
The pricing page states that bandwidth and data transfer have no additional charges. Other listed services, such as public IP addresses and storage, may have separate charges.
What happens when an account balance is depleted?
Hyperstack sends email notifications at 50%, 70%, 80%, 90%, and 100% balance depletion. After the balance is exhausted, resources may be scheduled for termination following a grace period; if the account is not recharged within one week, resources may be permanently deleted.
Can users choose between different GPU purchasing options?
Yes. The site lists on-demand GPU VMs, reserved capacity with starting rates, and spot VM pricing for selected GPU models. Available models and prices vary by option.
快速信息
- Product type
- Cloud GPU and AI infrastructure platform
- Primary workloads
- AI training, inference, deep learning, HPC, rendering, simulation, data analytics, and virtual workstations
- AI application layer
- AI Studio for training, deployment, monitoring, and fine-tuning
- Infrastructure regions
- Data centres in Europe and North America
- Billing
- On-demand usage billed per minute; reservation contracts invoiced monthly
- GPU vendor listed
- NVIDIA
Hyperstack 替代品
Together AI
together.ai
Together AI 是一个支持推理、微调、GPU 集群、沙盒和托管存储的 AI 云平台。
DeepInfra
deepinfra.com
DeepInfra provides hosted machine-learning model inference and on-demand GPU instances for developers and teams. Its catalog covers text, image, audio, video, embedding, reranking, and other model workloads with pay-as-you-go pricing.
Hyperbolic
hyperbolic.xyz
Hyperbolic is an open-access GPU and AI cloud for deploying on-demand H100, H200, B200, and other GPU capacity. It supports experimentation, training, fine-tuning, inference, and production workloads through on-demand instances, reserved clusters, and Private Cloud infrastructure.
Lambda
lambda.ai
Lambda provides cloud GPU compute for AI training, fine-tuning, inference, and prototyping. Teams can launch on-demand GPU instances, use production-ready 1-Click Clusters, or discuss reserved and single-tenant infrastructure for larger workloads.
CoreWeave
www.coreweave.com
CoreWeave is an AI-focused cloud platform that combines GPU infrastructure, storage, networking, orchestration, and operational tooling for training and serving AI workloads. It supports teams moving from model experiments to production systems, including reinforcement-learning and agent-development workflows.
Cloudflare Workers AI
developers.cloudflare.com
Cloudflare Workers AI lets developers run open-source machine learning models through serverless GPUs on Cloudflare’s global network. Models can be invoked from Workers, Pages, or applications using the Cloudflare API without managing GPU infrastructure.