On-demand NVIDIA GPU instances
Provision single-instance GPU capacity in under a minute, with selectable configurations from 1x to 8x GPUs.
Verda
Freemium
Verda is a full-stack AI cloud for running AI workloads on GPU infrastructure. It provides on-demand NVIDIA GPU instances and self-service multi-node clusters with managed Slurm or Kubernetes.
O que é Verda?
Verda is a full-stack AI cloud focused on infrastructure for AI workloads. It combines on-demand NVIDIA GPU instances with self-service, multi-node clusters and managed Slurm or Kubernetes options. Users can choose individual GPU capacity for short-lived or focused jobs, or provision a multi-node environment when an application requires distributed compute.
O que Verda pode fazer?
Multiple NVIDIA GPU options
The listed instance hardware includes NVIDIA B300, B200, H200, H100, and A100 GPUs, allowing users to select from the models exposed by the platform.
Self-service multi-node clusters
Create clusters without a manual setup process or a sales call, supporting workloads that need more than one node.
Managed Slurm or Kubernetes
Choose between managed Slurm and Kubernetes for cluster operation, depending on the workload or orchestration workflow.
Pay-as-you-go GPU usage
GPU instances are offered with pay-as-you-go pricing; the available evidence does not state the applicable rates.
Casos de uso
“Multi-GPU inference”
Run inference workloads that need several GPUs, such as the multi-GPU inference described in Verda’s 1XWM generative video collaboration.
“Generative video workloads”
Supply GPU infrastructure for video-generation systems where higher video quality is part of the application workflow.
“Distributed AI jobs”
Use an instant multi-node cluster when an AI workload must run across multiple machines rather than a single GPU instance.
“Managed research or engineering environments”
Provision a cluster with Slurm or Kubernetes when a team needs an established scheduler or container-orchestration environment without setting up the cluster manually.
Perguntas frequentes
How quickly can a GPU instance be provisioned?
The GPU instances page states that on-demand instances can be provisioned in under a minute.
How quickly can a multi-node cluster be provisioned?
Instant clusters are described as provisioning in 20 minutes.
Which cluster management options are available?
Verda offers managed Slurm or Kubernetes for its instant clusters.
What GPU models are listed?
The source lists NVIDIA B300, B200, H200, H100, and A100 options, among others.
Does Verda publish GPU pricing?
The source identifies pay-as-you-go pricing for GPU instances, but the available material does not include specific rates or plan limits.
Informações rápidas
- Category
- AI cloud infrastructure
- Primary resources
- NVIDIA GPU instances and multi-node GPU clusters
- Instance range
- 1x–8x GPU configurations
- Cluster software
- Managed Slurm or Kubernetes
- Provisioning
- GPU instances in under a minute; instant clusters in 20 minutes
- Pricing model
- Pay as you go for GPU instances
Alternativas ao Verda
TensorDock
www.tensordock.com
TensorDock is a marketplace-based cloud infrastructure platform for on-demand GPU and CPU servers. It supports machine learning, rendering, cloud gaming, scientific computing, and other workloads that need configurable virtual machines.
Scaleway GPU Instances
www.scaleway.com
Scaleway GPU Instances provide on-demand GPU compute for AI training, fine-tuning, inference, video, and rendering workloads. Teams can select among GPU families and provision instances through the console, CLI, or Terraform.
NVIDIA DGX Cloud Lepton
lepton.ai
NVIDIA DGX Cloud Lepton connects developers to a global network of GPU compute through a cloud-based offering. The available source positions it for developers who need access to accelerated computing resources.