What Galadriel does

Galadriel, founded in 2022 and headquartered in Tallinn, Estonia, operates an on-demand GPU cloud infrastructure platform serving AI companies. The company has deployed a fleet of 3,000+ NVIDIA H200, B200, and B300 GPUs across data centers in the United States and European Union, providing immediate-access, large-scale compute for AI model training and inference workloads. Its single core product is the On-Demand GPU Clusters service, positioned around competitive pricing, no long-term lock-ins, and horizontal targeting of AI/ML companies that need flexible compute capacity.

The business model is a consumption-based, usage-priced GPU cloud offering. Customers acquire access through a product-led growth funnel: a Typeform-based 'Get Early Access' signup is the primary onboarding mechanism, suggesting a self-serve / sales-assisted hybrid GTM motion aimed at AI companies of varying sizes. Revenue mechanics are pay-per-use on GPU capacity without contractual commitments. The customer segment is a horizontal business-unit orientation toward AI companies building and serving models, addressing pain points around high GPU costs, long-term lock-ins, and infrastructure management overhead.

Galadriel is backed by a syndicate that mixes traditional venture capital (Atomico), crypto-native capital (Protocol.ai, Anagram, Plural Platform, IdeoColab), and strategic angel investors from Coinbase, Polygon, DeepMind, and Balaji Srinivasan. Leadership is led by CEO and co-founder Johannes Tammekänd alongside managing partner Jean-Philippe Sarraut. The company remains privately held with no disclosed funding amounts, revenue figures, or named customer logos in the source data.

Name

Galadriel

Website

https://galadriel.com

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

11–50 employees

Short description

Galadriel operates an on-demand GPU cloud platform with 3,000+ NVIDIA H200, B200, and B300 clusters across the US and EU, serving AI companies with flexible, usage-based compute for model training and inference workloads.

Ownership category

akta.pro rank

Product category

GPU Cloud Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

akta.pro primary industry

AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)

akta.pro secondary industries

GPU/Accelerator Compute Servers (HDABADAC), GPU-Accelerated & AI Training/Inference Servers (HDACABAG), GPU-Accelerated HPC Systems (HDACAOAC)

Keywords

• GPU cloud infrastructure
• On-demand GPU clusters
• AI compute services
• AI training infrastructure
• GPU-as-a-service

Headquarters

HQ city

Tallinn

HQ country

Estonia

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Infrastructure, Technology or R&D, Personnel, Marketing or Sales, Operations

Revenue model

1. GPU Compute Services: On-demand GPU cluster access providing AI training and inference compute. Customers pay for GPU usage without long-term commitments, suggesting a consumption-based model.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels1 record

Core offering

Galadriel provides on-demand access to large-scale GPU clusters (3K+ NVIDIA H200, B200, and B300 processors) deployed across US and EU regions for AI training and inference workloads. Customers acquire GPU compute on a consumption basis with no long-term commitments, with the company emphasizing best-market pricing and immediate deployment for AI/ML teams.

Product overview

Galadriel offers a single unified product: on-demand GPU cluster access for AI training and inference workloads. The service provides large-scale GPU infrastructure across US and EU regions, featuring H200, B200, and B300 GPUs available for immediate deployment with competitive pricing and no long-term lock-ins.

Differentiator

Problem solved

Functional benefit

Products and services

• On-Demand GPU Clusters

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature1 record

Scale indicators2 records

Recent moves4 records

Expansion highlights4 records

Direct peers

• Vast.ai: Vast.ai operates a decentralized GPU marketplace aggregating consumer and data-center GPUs for AI workloads. Its consumption-based, no-commitment model and AI-developer focus make it a direct functional peer to Galadriel's no-lock-in positioning.
• CoreWeave: CoreWeave is a specialized GPU cloud provider built almost entirely around NVIDIA accelerators (H100, H200, GB200) for AI training and inference. It is the closest direct competitor to Galadriel, competing on price, flexibility, and access to cutting-edge chips for AI customers.
• RunPod: RunPod provides on-demand and serverless GPU cloud (H100, A100, etc.) for AI training and inference, with self-serve onboarding and per-second billing. It competes head-to-head with Galadriel for the same AI-developer customer segment on price and ease of access.
• Together AI: Together AI offers a GPU cloud purpose-built for open-source LLM training and inference, with H100/H200 clusters and consumption-based pricing. It is a direct competitor to Galadriel in serving AI-native customers with flexible, no-lock-in compute.
• Lambda Labs: Lambda operates GPU cloud instances and on-prem GPU servers targeted at AI researchers and startups. It overlaps directly with Galadriel on-demand H100/H200/B200 rental and 'no-lock-in' positioning for AI developers.
• Crusoe Energy: Crusoe builds large-scale GPU clusters (including H100/H200 fleets) powered by stranded or renewable energy for AI training and inference. It competes with Galadriel for large AI training customers seeking cost-efficient, sustainability-positioned GPU compute.

Emerging players

• Tensorwave: Tensorwave is a neocloud GPU provider focused on AMD MI300X accelerators for AI training and inference, differentiating on non-NVIDIA silicon. It is an emerging competitor to Galadriel in the price-flexible AI GPU cloud segment.

Broad incumbents

• Microsoft Azure (ND H100/H200 v5 series): Azure's ND-series virtual machines provide large-scale H100/H200 capacity integrated with Azure ML and OpenAI services. It is a broad incumbent competing with Galadriel for enterprise AI compute, especially Azure-committed customers.
• Google Cloud (A3 with H100/H200): Google Cloud's A3 instances deliver H100/H200 GPU capacity alongside its broader AI stack (Vertex AI, TPU). It competes with Galadriel for AI training workloads, particularly customers already committed to Google DeepMind tooling.
• Amazon Web Services (EC2 P5/B200 instances): AWS offers GPU-accelerated EC2 instances (P4/P5 with H100, upcoming Blackwell) as part of its broader cloud platform. It is a broad incumbent competing with Galadriel across enterprise AI workloads, though without Galadriel's price/no-lock-in specialty.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/galadriel_ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Galadriel