Compare Hyperstack vs. VMware Private AI Foundation in 2025

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Description

Hyperstack, the ultimate self-service GPUaaS Platform, offers the H100 and A100 as well as the L40, and delivers its services to the most promising AI start ups in the world. Hyperstack was built for enterprise-grade GPU acceleration and optimised for AI workloads. NexGen Cloud offers enterprise-grade infrastructure for a wide range of users from SMEs, Blue-Chip corporations to Managed Service Providers and tech enthusiasts. Hyperstack, powered by NVIDIA architecture and running on 100% renewable energy, offers its services up to 75% cheaper than Legacy Cloud Providers. The platform supports diverse high-intensity workloads such as Generative AI and Large Language Modeling, machine learning and rendering.

Description

VMware Private AI Foundation is a collaborative, on-premises generative AI platform based on VMware Cloud Foundation (VCF), designed for enterprises to execute retrieval-augmented generation workflows, customize and fine-tune large language models, and conduct inference within their own data centers, effectively addressing needs related to privacy, choice, cost, performance, and compliance. This platform integrates the Private AI Package—which includes vector databases, deep learning virtual machines, data indexing and retrieval services, and AI agent-builder tools—with NVIDIA AI Enterprise, which features NVIDIA microservices such as NIM, NVIDIA's proprietary language models, and various third-party or open-source models from sources like Hugging Face. It also provides comprehensive GPU virtualization, performance monitoring, live migration capabilities, and efficient resource pooling on NVIDIA-certified HGX servers, equipped with NVLink/NVSwitch acceleration technology. Users can deploy the system through a graphical user interface, command line interface, or API, thus ensuring cohesive management through self-service provisioning and governance of the model store, among other features. Additionally, this innovative platform empowers organizations to harness the full potential of AI while maintaining control over their data and infrastructure.