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EcoHashvsHyperstack

EcoHash vs Hyperstack: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
EcoHash
Hyperstack
Provider type
Specialist
Specialist
Founded
2024
2022
Headquarters
United States
London, UK
Billing model
On-demand
On-demand (per-minute), Reserved, Spot VMs
Min commitment
None
None
Support tier
Community → Standard
Standard → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

EcoHash

EcoHash is a GPU cloud offering NVIDIA RTX PRO 6000 Blackwell instances with 96GB GDDR7 VRAM alongside an open-model inference API, making it one of the few providers offering the latest RTX PRO 6000 hardware for large-context AI inference and training. The open-model API enables developers to access popular open-source models without managing infrastructure. A strong choice for teams that need maximum VRAM on RTX-class hardware for large-model inference.

Strengths
  • RTX PRO 6000 Blackwell — 96GB GDDR7 VRAM
  • Open-model inference API
  • Large-context inference capability
  • Competitive RTX PRO 6000 pricing
Weaknesses
  • Very new provider — limited track record
  • Smaller scale vs established providers
  • Limited documentation and ecosystem
Best For
Large-context LLM inference needing maximum VRAMTeams wanting RTX PRO 6000 on-demandOpen-model API users
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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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Hyperstack Rating

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Region Coverage

EcoHash — 1 regions
US
Hyperstack — 3 regions
EU-WestEU-CentralUS-East

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Provider pages

EcoHash pricing and specs Hyperstack pricing and specs

Key differences

EcoHash

RTX PRO 6000 GPU cloud with an open-model inference API

Hyperstack

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

AttributeEcoHashHyperstack
Provider typespecialistspecialist
Billing modelOn-demandOn-demand (per-minute), Reserved, Spot VMs
Min commitmentNoneNone
Regions1 (US)3 (EU-West, EU-Central, US-East)
Support tierCommunity → StandardStandard → Enterprise
Best forLarge-context LLM inference needing maximum VRAM, Teams wanting RTX PRO 6000 on-demandEnterprise AI teams wanting latest Blackwell hardware, EU/NA teams needing renewable-energy GPU compute
Founded / HQ2024 · United States2022 · London, UK