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Hyperstack vs SF Compute: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
2023
Headquarters
London, UK
San Francisco, CA
Billing model
On-demand (per-minute), Reserved, Spot VMs
On-demand, Contract
Min commitment
None
None (on-demand); contract options available
Support tier
Standard → Enterprise
Standard
Regions
3 regions
1 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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SF Compute

SF Compute offers H100 SXM5 80GB GPU clusters with both short-term on-demand and longer-term contract pricing. The platform targets AI training and research teams that need reliable H100 access at competitive rates. October 2026 on-demand rate: $5.04/GPU-hr. SF Compute provides VMs, bare metal, and managed Slurm cluster options, making it flexible for different workflow types. A practical choice for teams that want H100 compute without the overhead of hyperscaler pricing.

Strengths
  • H100 SXM5 80GB at competitive on-demand rates
  • Bare metal and managed Slurm options
  • Short and long-term contract flexibility
  • US West region — low latency for West Coast teams
Weaknesses
  • Limited GPU catalog — primarily H100
  • Smaller provider — less geographic diversity
  • Less mature ecosystem vs established GPU clouds
Best For
AI training teams needing H100 clustersResearch teams wanting Slurm-managed GPU computeTeams comparing H100 on-demand rates across providers
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Region Coverage

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Key differences

Hyperstack

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

SF Compute

H100 cluster compute — contract and on-demand GPU access from $5.04/hr

AttributeHyperstackSF Compute
Provider typespecialistspecialist
Billing modelOn-demand (per-minute), Reserved, Spot VMsOn-demand, Contract
Min commitmentNoneNone (on-demand); contract options available
Regions3 (EU-West, EU-Central, US-East)1 (US)
Support tierStandard → EnterpriseStandard
Best forEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU computeAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU compute
Founded / HQ2022 · London, UK2023 · San Francisco, CA