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Anyscale vs Lambda (AWS Serverless)

Anyscale logo

Anyscale

Software

Platform for scaling AI and data workloads on Ray, built by Ray's creators

From
Free
Rated
-
Full reviewWebsite
Lambda (AWS Serverless) logo

Lambda (AWS Serverless)

Software

Run code without thinking about servers

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Lambda (AWS Serverless) billed on two axes at once, $0.20 per million requests plus $0.0000166667 per GB-second of duration, so memory settings change the bill as much as traffic does
  • They diverge on capability: Anyscale covers Distributed model training, Lambda (AWS Serverless) covers Function-as-a-Service.

Where they differ

Only the attributes on which Anyscale and Lambda (AWS Serverless) actually diverge.

Attributes where Anyscale and Lambda (AWS Serverless) differ
AttributeAnyscaleLambda (AWS Serverless)
FoundedUnknown2014

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), platforms (web, api), user rating (Not yet rated), category (Unknown).

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 Lambda (AWS Serverless)

  • Function-as-a-Service
  • Event-driven execution
  • Auto-scaling
  • Pay-per-use
  • Multiple languages
  • Concurrency limits
  • Dead Letter Queues
  • Environment variables

What people use each for

The jobs each tool is most often brought in to do.

Anyscale

  • Training large models on distributed GPU clustersnot Lambda (AWS Serverless)
  • Running batch inference and embedding jobsnot Lambda (AWS Serverless)
  • Preparing multimodal datasets at scalenot Lambda (AWS Serverless)
  • Post-training LLMs with reinforcement learning frameworksnot Lambda (AWS Serverless)

Lambda (AWS Serverless)

  • Event-driven functions without managing serversnot Anyscale
  • API backends behind API Gatewaynot Anyscale
  • Processing S3, DynamoDB, SQS and Kinesis eventsnot Anyscale
  • Scheduled jobs without a always-on instancenot Anyscale
  • Edge compute through Lambda@Edgenot 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.

Lambda (AWS Serverless)

  • Billed on two axes at once, $0.20 per million requests plus $0.0000166667 per GB-second of duration, so memory settings change the bill as much as traffic does
  • Provisioned concurrency, used to avoid cold starts, is charged separately at $0.0000041667 per GB-second whether or not the function runs
  • Ephemeral storage beyond the included 512 MB is metered
  • Lambda@Edge costs $0.60 per million requests, three times the standard request rate
  • VPC use and cross-region data transfer carry EC2 charges on top

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

Lambda (AWS Serverless)

Free
  • Free TierFree
    • 1M free requests/month
    • 400,000 GB-seconds/month
    • Always free

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.
Anyscale review

Choose Lambda (AWS Serverless) if

  • You need function-as-a-service.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want event-driven execution.
Lambda (AWS Serverless) review

Questions people ask

Is Anyscale or Lambda (AWS Serverless) better?
Neither clearly leads. Anyscale starts at Free and Lambda (AWS Serverless) at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Lambda (AWS Serverless)?
Anyscale starts at Free and Lambda (AWS Serverless) at Free.
Does Anyscale or Lambda (AWS Serverless) run on more platforms?
Anyscale runs on web, api. Lambda (AWS Serverless) runs on Web, Api.
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 Lambda (AWS Serverless) is typically brought in for.
What can Anyscale do that Lambda (AWS Serverless) cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Lambda (AWS Serverless) covers Function-as-a-Service, Event-driven execution, Auto-scaling, Pay-per-use.

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.

Source
Anyscale: 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.

Source
Anyscale: 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.

Source
Anyscale: 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.

Source
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