Helios Cloud
Helios Cloud: A fit for teams reserving Blackwell capacity for multi-year AI workloads. Ranked #35 of 59 in GPU Server Hosting by our editors (5.7/10); pricing: Paid; best for long-term reserved Blackwell capacity.
At a glance
- Editor score5.7 / 10
- PricingPaid
- Best forLong-term reserved Blackwell capacity
- Free planNo
- Paid from$1.04/unit usage-based
- Facts checked23 Sep 2026
Where it wins
- RTX PRO 6000 and B200 reservations with up to 96GB or 192GB memory
- GPU model and one- to five-year reservation-term selection
- Deployment engineering, integration, validation and customer handover
Where it doesn't
- Reservations require annual billing and multi-year commitments
- Capacity, configuration and minimum reservation require sales confirmation
- Web-only access with no free plan
Our verdict on Helios Cloud
Helios Cloud provides dedicated NVIDIA GPU clusters for AI training and inference, plus GPU colocation for customers bringing their own hardware. It is aimed at mid-market and enterprise teams that can plan capacity in advance and want reserved systems rather than short-term, on-demand instances. The service runs in the cloud, with GPU model and reservation-term selection, and supports dedicated Blackwell systems for training and inference. Colocation options add power, cooling and network connectivity for customer-owned equipment.
Pricing is listed per GPU-hour with annual billing. RTX PRO 6000 reservations cost $1.04 for five years, $1.17 for four years, $1.23 for three years, $1.29 for two years, or $1.35 for one year; each includes 96 GB of GPU memory. B200 reservations cost $3.40 for five years, $3.80 for four years, or $4.00 for three years, with 192 GB of memory. These are reserved-capacity rates rather than monthly server plans, and Helios says its team confirms configuration, availability and minimum reservation requirements before deployment.
The strongest fit is a team with predictable, sustained AI workloads that can commit to a long reservation and benefit from deployment engineering through integration, validation and handover. Helios also supports GPU colocation with high-density power, air or liquid cooling, and network connectivity, which broadens the offer beyond a standard hosted cluster. The trade-off is flexibility: annual, multi-year reservations and sales-led configuration are less suitable for experiments, short projects or workloads that need rapidly changing capacity. Helios says deployments target roughly three months, subject to configuration and site readiness, so buyers should plan procurement and implementation timelines accordingly.
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Helios Cloud pricing
All 12 Helios Cloud plans and prices →
Helios Cloud fact sheet
| Free plan | No |
|---|---|
| Paid from | $1.04/unit usage-based |
| GPU count | Not verified |
| GPU memory | Not verified |
| System RAM | Not verified |
| Storage included | Not verified |
| GPU interconnect | Nvlink |
| Billing term | Annual |
| Deployment | Cloud |
| Platforms | Web |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Paid (source) |
| Website | helios.co |
| Facts checked | 23 Sep 2026 |
Alternatives to Helios Cloud
- Tata Communications Vayu AI Cloud GPUA cluster-oriented GPU cloud with InfiniBand, parallel storage and managed Kubernetes tooling.9.3
- OVHcloud GPU Dedicated ServerDedicated bare-metal GPU hosting with strong hardware options but a high monthly entry price.9.1
- IONOS GPU ServerA flexible-term dedicated GPU service with strong hardware options but a high entry price.9.0
See all Helios Cloud alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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