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Hyperstack vs Modal: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hyperstack and Modal. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2022
2021
Headquarters
London, UK
New York, NY
Billing model
On-demand (per-minute), Reserved, Spot VMs
Per-second serverless
Min commitment
None
None
Support tier
Standard → Enterprise
Community → Enterprise
Regions
3 regions
3 regions

Strengths & Best For

Hyperstack

Hyperstack (by NexGen Cloud) is a full-stack AI cloud offering NVIDIA GB200 NVL72, GB300 NVL72, HGX B200, HGX B300, H200 SXM, H100 SXM, H100 NVLink, H100 PCIe, A100 SXM, A100, L40, RTX A6000, RTX A4000, and RTX Pro 6000 SE instances with per-minute billing. Reservation and spot VMs available. 100% renewable energy. Managed Kubernetes, object storage, Terraform, Go/Python SDKs, LLM Inference Toolkit.

Strengths
  • B300, B200, H200 — competitive Blackwell and Hopper pricing
  • A4000 — cheapest enterprise GPU for light workloads
  • Per-minute billing — pay only for what you use
  • 100% renewable energy across all data centers
  • Wide GPU catalog: 13 SKUs from A4000 to GB300 NVL72
  • Managed Kubernetes, Terraform, Go/Python SDKs, LLM Inference Toolkit
Weaknesses
  • Smaller provider — limited scale vs CoreWeave or hyperscalers
  • Fewer regions than major cloud providers
  • B300 on-demand not yet available (reserved private clusters only as of Sept 2026)
Best For
Enterprise AI teams wanting latest Blackwell hardwareEU/NA teams needing renewable-energy GPU computeTeams wanting managed Kubernetes with GPU VMsCost-sensitive teams using reservation discounts
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Modal

Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.

Strengths
  • B300, B200, H200 — competitive Blackwell/Hopper pricing
  • Per-second billing with zero idle cost — no minimum hours
  • Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
  • Python-native SDK — no infra management
  • Starter and Team plans include free monthly compute credits
  • SOC 2, HIPAA, data residency controls
Weaknesses
  • Less control over underlying infrastructure vs raw VMs
  • Pricing can be unpredictable for sustained high-throughput workloads
  • Smaller GPU catalog than dedicated cluster providers
Best For
ML engineers wanting zero-ops GPU infrastructureServerless LLM inference and multi-modal workloadsRL rollouts and AI agent sandboxes at scaleTeams wanting one platform from prototype to production
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Modal Rating

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Live GPU Pricing

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Region Coverage

Hyperstack — 3 regions
EU-WestEU-CentralUS-East
Modal — 3 regions
US-EastUS-WestEU

Popular Comparisons

Key differences

Hyperstack

B300, B200, H200, H100 — per-minute billing, 100% renewable energy

Modal

B300, B200, H200, H100 — serverless GPU, per-second billing

AttributeHyperstackModal
Provider typespecialistspecialist
Billing modelOn-demand (per-minute), Reserved, Spot VMsPer-second serverless
Min commitmentNoneNone
Regions3 (EU-West, EU-Central, US-East)3 (US-East, US-West, EU)
Support tierStandard → EnterpriseCommunity → Enterprise
Best forEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU computeML engineers wanting zero-ops GPU infrastructure, Serverless LLM inference and multi-modal workloads
Founded / HQ2022 · London, UK2021 · New York, NY