Anyscale vs Valohai

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Valohai is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.9 versus 0.6 for Anyscale, and ranks ahead in 100% of the answers that name both.

Choose Anyscale if…

You need ISO/IEC 27001 coverage
You prefer a larger, established vendor (201–500 employees)
Usage-based pricing suits your budget better than per seat

Choose Valohai if…

You want the brand AI engines rank higher (1.9 vs 0.6)
You need a self-hosted or on-premises option
Per seat pricing suits your budget better than usage-based
14-day free trial

AI visibility side by side

Latest weekly run · Nov 2

Metric	Anyscale	Valohai
Visibility score	0.6%	1.9%
Change vs last week	New	New
Rank in MLOps Platforms	#43	#30
Share of voice	0.3%	0.7%
Mentions this run	2	5
Positive in AI answers	—	20%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Anyscale 0pp · Valohai 0pp over 0 weekly runs.

Engine by engine

Valohai leads on 2 of 3 engines

ChatGPT

0.9%

2.2%

AI Mode

0.9%

Perplexity

3.5%

AnyscaleValohai

Head to head in AI answers

1 engine answers name both brands

0Anyscale ranked higher

1Valohai ranked higher

Prompt	Engine	Anyscale	Valohai
Official website of the top MLOps platform vendors	ChatGPT	#19	#13

Features, pricing & fit

Dimension	Anyscale	Valohai
Pricing model	Usage-based	Per seat
Entry price	Contact sales	Contact sales
Free plan	No	No · 14-day trial
Deployment	Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem	Managed cloud, on-premises, private cloud or air-gapped environments, on the customer's own cloud infrastructure
Compliance	SOC 2 Type II, ISO/IEC 27001	SOC 2 Type II
Support	Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray	Technical support from the Customer Engineering team, Valohai Training academy, Training and onboarding resources
Founded	2019	2016
Headquarters	San Francisco, California, USA	San Francisco, California, US
Employees	201–500	11–50
Funding	Series C (second tranche)	Seed · $2M raised
Best for	Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs.	AI product and ML teams that combine LLMs with specialized models and need to run the work on their own cloud or on-premises infrastructure