Hyperstack 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.
Hyperstack Alternatives
RunPod
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Verda
Verda is a next-generation AI cloud designed for teams building, training, and deploying advanced machine learning models. It delivers powerful GPU infrastructure with no quotas, approvals, or long sales processes. Users can choose from GPU instances, instant multi-node clusters, or fully managed serverless inference. Verda’s Blackwell-powered GPU clusters offer exceptional performance, massive VRAM, and high-speed InfiniBand™ interconnects. The platform is optimized for productivity, allowing developers to deploy, hibernate, and scale resources instantly. Verda supports both short-term experimentation and long-running production workloads. Built-in security, GDPR compliance, and ISO27001 certification ensure enterprise readiness. All datacenters are powered entirely by renewable energy. World-class engineering support is available directly through the platform. Verda delivers a developer-first AI cloud built for speed, flexibility, and reliability.
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Phala
Phala provides a confidential compute cloud that secures AI workloads using TEEs and hardware-level encryption to protect both models and data. The platform makes it possible to run sensitive AI tasks without exposing information to operators, operating systems, or external threats. With a library of ready-to-deploy confidential AI models—including options from OpenAI, Google, Meta, DeepSeek, and Qwen—teams can achieve private, high-performance inference instantly. Phala’s GPU TEE technology delivers nearly native compute speeds across H100, H200, and B200 chips while guaranteeing full isolation and verifiability. Developers can deploy workflows through Phala Cloud using simple Docker or Kubernetes setups, aided by automatic environment encryption and real-time attestation. Phala meets stringent enterprise requirements, offering SOC 2 Type II compliance, HIPAA-ready infrastructure, GDPR-aligned processing, and a 99.9% uptime SLA. Companies across finance, healthcare, legal AI, SaaS, and decentralized AI rely on Phala to enable use cases requiring absolute data confidentiality. With rapid adoption and strong performance, Phala delivers the secure foundation needed for trustworthy AI.
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Pricing
Pricing Starts At:
$0.18 per GPU per hour
Free Version:
Yes
Company Details
Company:
Hyperstack Cloud
Headquarters:
United Kingdom
Website:
www.hyperstack.cloud/
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Product Details
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Web-Based
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Online Support
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