Cloud · head to head
Anyscale vs Northflank

Anyscale
Cloud
Platform for scaling AI and data workloads on Ray, built by Ray's creators
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Northflank pricing complexity with multiple rate dimensions
- They diverge on capability: Anyscale covers Distributed model training, Northflank covers Application deployments.
Where they differ
Only the attributes on which Anyscale and Northflank actually diverge.
| Attribute | Anyscale | Northflank |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | web, api | AWS, GCP, Azure, On-premises |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Anyscale
- Distributed model training
- Multimodal data curation
- Batch embedding generation
- Multi-cloud orchestration
- Governance and security
- Observability
- Bring-your-own-cloud deployment
- Elastic GPU allocation
Only in Northflank
- Application deployments
- GPU support
- Preview environments
- Database management
- Multi-cloud support
- GitOps integration
What people use each for
The jobs each tool is most often brought in to do.
Anyscale
- Training large models on distributed GPU clustersnot Northflank
- Running batch inference and embedding jobsnot Northflank
- Preparing multimodal datasets at scalenot Northflank
- Post-training LLMs with reinforcement learning frameworksnot Northflank
Northflank
- Deploying AI inference models with GPU accelerationnot Anyscale
- Running training workloads on distributed GPUsnot Anyscale
- Building microservices with multi-cloud reliabilitynot Anyscale
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Anyscale
- Pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
- Built around Ray, so teams not already using Ray face a steeper adoption curve than single-purpose inference APIs.
- No published fixed-fee subscription tier; all listed pricing is usage-based on-demand compute.
Northflank
- Pricing complexity with multiple rate dimensions
- GPU costs can be expensive for large-scale deployments
- Learning curve for Kubernetes concepts
Pricing, plan by plan
Anyscale
Free- Pay-as-you-go$undefined/mo
- CPU only from $0.0135/hr
- NVIDIA T4 $0.5682/hr
- NVIDIA L4 $0.9542/hr
- Committed contract$undefined/mo
- Volume discounts
- Use of existing GPU reservations
Northflank
Free- Sandbox (Free)Free
- Always-on compute with no sleeping
- 2 free services
- 1 free database
- Pay-as-you-go$undefined/usage
- CPU: $0.01667 per vCPU per hour
- Memory: $0.00833 per GB per hour
- Network egress: $0.06 per GB
- Enterprise$undefined/custom
- Custom pricing with volume discounts
- Invoice-based billing
- Annual commitments
Which should you pick?
Choose Anyscale if
- You need distributed model training.
- You want to start without paying.
- You work on web, api.
- You also want multimodal data curation.
Choose Northflank if
- You need application deployments.
- You want to start without paying.
- You work on AWS, GCP, Azure, On-premises.
- You also want gpu support.
Questions people ask
- Is Anyscale or Northflank better?
- Neither clearly leads. Anyscale starts at Free and Northflank at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anyscale or Northflank?
- Anyscale starts at Free and Northflank at Free.
- Does Anyscale or Northflank run on more platforms?
- Anyscale runs on web, api. Northflank runs on AWS, GCP, Azure, On-premises.
- Can I use Anyscale for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Anyscale best used for?
- Anyscale is most often used for training large models on distributed gpu clusters, running batch inference and embedding jobs, preparing multimodal datasets at scale, post-training llms with reinforcement learning frameworks. Of those, training large models on distributed gpu clusters and running batch inference and embedding jobs are not what Northflank is typically brought in for.
- What can Anyscale do that Northflank cannot?
- Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Northflank covers Application deployments, GPU support, Preview environments, Database management.
Answered from the vendors’ own pages
Anyscale: How much does Anyscale cost?
Anyscale bills on a pay-as-you-go basis: CPU compute starts at $0.0135/hr, NVIDIA T4 at $0.5682/hr, and NVIDIA A100 at $4.9591/hr, with committed contracts offering volume discounts for larger workloads.
SourceNorthflank: What is included in the free Sandbox tier?
The Sandbox includes always-on compute, 2 free services, 1 free database, 2 free cron jobs, and is perfect for testing applications.
SourceAnyscale: Is there a free trial or credit?
New users receive $100 in Anyscale credits to explore the platform, which can be applied toward starter templates and on-demand compute usage.
SourceNorthflank: How much does CPU cost on Northflank?
CPU costs $0.01667 per vCPU per hour on pay-as-you-go pricing.
SourceAnyscale: How is usage billed?
Hosted usage is billed hourly per compute instance type and invoiced monthly by credit card; bring-your-own-cloud usage is invoiced through Anyscale or the customer's cloud marketplace account.
SourceNorthflank: What GPUs are available?
GPU options include NVIDIA L4 at $0.80/hr through H100 at $2.74/hr.
SourceAnyscale: What support is included?
Hosted plans include business-hours support with up to 5 case submissions, while bring-your-own-cloud deployments get 24x7 enterprise SLAs and unlimited case submissions.
SourceRelated pages
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