Paperspace vs. Weights & Biases

Paperspace

0 Reviews and Ratings

Weights & Biases

Weights & Biases

2 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Paperspace	Score 0.0 out of 10	N/A	Paperspace, now part of DigitalOcean, is a cloud computing and ML development platform for building, training and deploying machine learning models and AI applications. Paperspace can be used to iterate faster and collaborate on intelligent, real-time prediction engines.	$268 per month
Weights & Biases	Score 10.0 out of 10	N/A	Weights & Biases helps machine learning teams build better models. Practitioners can debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, datasets and predictions — and collaborate with their teammates.	$50 per month per user

Pricing

Paperspace

Weights & Biases

Editions & Modules

M4000: $268
per month
P4000: $303
per month
RTX4000: $337
per month
P5000: $461
per month
P6000: $647
per month
V100: $1,348
per month

Starter: $50
per month per user
Enterprise: custom pricing

Offerings

Pricing Offerings
Paperspace	Weights & Biases
Free Trial
Yes	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

—

—

More Pricing Information

Best Alternatives
	Paperspace	Weights & Biases
Small Businesses	Google Cloud AI Score 8.5 out of 10	Google Cloud AI Score 8.5 out of 10
Medium-sized Companies	Google Cloud AI Score 8.5 out of 10	Google Cloud AI Score 8.5 out of 10
Enterprises	Dataiku Score 8.6 out of 10	Dataiku Score 8.6 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Paperspace	Weights & Biases
Likelihood to Recommend	- (0 ratings)	10.0 (1 ratings)

User Testimonials
	Paperspace	Weights & Biases
Likelihood to Recommend	DigitalOcean No answers on this topic	Weights & Biases No brainer to use it when doing ML experiments as it is very easy compared to any other open source tool. You don't have to host anything like in Tensorboard. Experiment details can be shared very easily with public using the reports Incentivized Verified User Anonymous Read full review
Pros	DigitalOcean No answers on this topic	Weights & Biases Metrics Logging Hyperparmeters Sweeps Model Artifcats Incentivized Verified User Anonymous Read full review
Cons	DigitalOcean No answers on this topic	Weights & Biases Dashboard lags when we log a lot of metrics Improved support for matplotlib charts and documentation of wandb custom charts is not straghtforward Incentivized Verified User Anonymous Read full review
Return on Investment	DigitalOcean No answers on this topic	Weights & Biases Made it very easy to track experiments Track ML and Business Metrics improvements across experiments Reproduce runs which is essential in ML modelling Incentivized Verified User Anonymous Read full review
ScreenShots		Weights & Biases Screenshots