Paperspace

Name: Paperspace
Brand: Paperspace (now DigitalOcean)
Rating: 2.1 (134 reviews)

Paperspace is a cloud compute platform that provides GPU-accelerated virtual machines, notebook-based ML development (Gradient), and a simplified UI/API for provisioning and managing GPU workloads.

Est 2014|Valuation $100.4M|Raised $27.8M|24 Ref Customers

LinkedIn 4K|Web traffic 312K|FTEs 33|HQ New York, New York, US

MarketsData Science & Machine Learning Platforms Development Environments Cloud Infrastructure Providers (IaaS/PaaS)

01Competitive Landscape

Narrative analysis

Paperspace versus hyperscalers (AWS/GCP/Azure): - Hyperscalers generally provide stronger enterprise compliance artifacts, broader global regions, deeper managed platform services, and more mature FinOps tooling. - Paperspace historically emphasized lower operational complexity for GPU workflows; however, review patterns point to operational risks for teams without active cost management practices. Paperspace versus CoreWeave: - CoreWeave targets large-scale AI infrastructure with an extensive GPU catalog and an enterprise posture, typically requiring sales engagement. - Paperspace may be easier for smaller teams to begin with, but public review patterns show a higher incidence of billing and support complaints on consumer platforms. Paperspace versus Runpod and marketplace providers: - Marketplace providers often compete on cost and breadth of options. - Paperspace offers a more managed platform experience; cost control and default guardrails are areas where marketplace or other providers may offer stronger tooling. Adoption trends: - Consolidation under the DigitalOcean brand is evident; DigitalOcean acquired Paperspace and is integrating Paperspace capabilities into its AI/ML offerings.

	Paperspace (DigitalOcean)	Runpod	Lambda Cloud
Starting Price	Free tier and a low-cost Pro subscription plus usage-based compute (hourly and legacy monthly machines)	Usage-based (per-second/hour GPU pricing; marketplace supply)	Usage-based (instances and clusters; published per-GPU-hour rates)
Suitable For	Developers and small teams seeking an interface for notebooks and VMs; legacy Paperspace users; teams within the DigitalOcean ecosystem	Cost-optimized GPU workloads and flexible marketplace options	Engineers seeking straightforward on-demand GPU instances and cluster options
Key Strength	Integrated notebooks and virtual machines; accessible entry tier; integration with DigitalOcean ecosystem direction	Competitive pricing and flexible supply via marketplace listings	Transparent pricing tables and focus on AI infrastructure
Key Weakness	Reported issues around billing and support; approval/capacity gating for premium GPUs; uncertainty during brand transition	Marketplace variability and governance differences across offerings	Some offerings require sales engagement; capacity constraints can occur

01Competitive Landscape

Narrative analysis

Paperspace versus hyperscalers (AWS/GCP/Azure):

Hyperscalers generally provide stronger enterprise compliance artifacts, broader global regions, deeper managed platform services, and more mature FinOps tooling.
Paperspace historically emphasized lower operational complexity for GPU workflows; however, review patterns point to operational risks for teams without active cost management practices.

Paperspace versus CoreWeave:

CoreWeave targets large-scale AI infrastructure with an extensive GPU catalog and an enterprise posture, typically requiring sales engagement.
Paperspace may be easier for smaller teams to begin with, but public review patterns show a higher incidence of billing and support complaints on consumer platforms.

Paperspace versus Runpod and marketplace providers:

Marketplace providers often compete on cost and breadth of options.
Paperspace offers a more managed platform experience; cost control and default guardrails are areas where marketplace or other providers may offer stronger tooling.

Adoption trends:

Consolidation under the DigitalOcean brand is evident; DigitalOcean acquired Paperspace and is integrating Paperspace capabilities into its AI/ML offerings.

	Paperspace (DigitalOcean)	Runpod	Lambda Cloud
Starting Price	Free tier and a low-cost Pro subscription plus usage-based compute (hourly and legacy monthly machines)	Usage-based (per-second/hour GPU pricing; marketplace supply)	Usage-based (instances and clusters; published per-GPU-hour rates)
Suitable For	Developers and small teams seeking an interface for notebooks and VMs; legacy Paperspace users; teams within the DigitalOcean ecosystem	Cost-optimized GPU workloads and flexible marketplace options	Engineers seeking straightforward on-demand GPU instances and cluster options
Key Strength	Integrated notebooks and virtual machines; accessible entry tier; integration with DigitalOcean ecosystem direction	Competitive pricing and flexible supply via marketplace listings	Transparent pricing tables and focus on AI infrastructure
Key Weakness	Reported issues around billing and support; approval/capacity gating for premium GPUs; uncertainty during brand transition	Marketplace variability and governance differences across offerings	Some offerings require sales engagement; capacity constraints can occur