Lyceum
Lyceum is a European GPU cloud platform offering serverless inference, dedicated endpoints, GPU VMs, and large-scale InfiniBand clusters with EU data residency and AI-powered workload orchestration, targeting AI startups and infrastructure teams across Europe.
- Company typePrivate
- Founded2025
- HeadquartersZürich, Switzerland
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Lyceum does
Lyceum is a European GPU cloud platform founded in 2025 and headquartered in Berlin with an engineering hub in Zürich, providing infrastructure for AI training and inference workloads under EU data residency. The platform spans four product areas: serverless inference APIs (pay-per-token access to open-source models such as Llama 3.3 70B, DeepSeek V4 Pro, GLM-5.2, Kimi K2.6, and Qwen3.5 via an OpenAI-compatible interface), dedicated GPU endpoints with reserved capacity, on-demand GPU virtual machines and 8-to-8,000-GPU InfiniBand clusters for distributed training, and an AI-powered orchestration layer branded Pythia that analyzes workloads at the compiler level to predict memory requirements and select optimal hardware. Differentiators emphasized by the company include EU sovereignty and GDPR compliance, per-second billing, sub-30-second provisioning, and a stated 76% average GPU utilization versus an industry benchmark near 40%.
The business model combines usage-based pricing (per-token inference, per-second VM rental) with subscription-style committed contracts on clusters (3-24 month minimums). Distribution runs through a self-serve dashboard for startups, an AWS Marketplace listing for AWS-credit-bearing enterprises, and a dedicated enterprise sales team for regulated-industry buyers. Lyceum serves two primary customer segments: AI startups transitioning off hyperscaler credits and seeking sovereign EU compute, and ML infrastructure teams needing orchestration across hybrid on-premise and cloud environments. The company has publicly disclosed two customer case studies (SONALAB in audio AI and Albatross in product discovery) and raised €10.3M in pre-seed funding in June 2025 led by redalpine with participation from 10x Founders.
Lyceum firmographics
Firmographics- Name
- Lyceum
- Legal name
- Lyceum Technology Germany GmbH
- Website
- https://lyceum.technology
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Lyceum is a European GPU cloud platform offering serverless inference, dedicated endpoints, GPU VMs, and large-scale InfiniBand clusters with EU data residency and AI-powered workload orchestration, targeting AI startups and infrastructure teams across Europe.
- Ownership category
- akta.pro rank
Lyceum industry classification
Industry- Product category
- GPU Cloud Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- Model Hosting, Serving & Inference Platforms (HDAAACAB), AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)
Keywords
Where Lyceum is headquartered
LocationHeadquarters
- HQ city
- Zürich
- HQ country
- Switzerland
- HQ region
- Europe
Offices2 records
Markets served
Lyceum business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales
Revenue model
- Serverless Inference: Pay-per-token pricing for inference API access to open-source models. Customers pay based on input/output token volume with no GPU management overhead.
- Dedicated Endpoints: Reserved GPU capacity for production models with consistent latency guarantees. Billed per GPU-hour with committed usage options.
- On-Demand GPU VMs: Full root access GPU virtual machines with per-second billing. Customers provision 1-8 GPUs on demand for training, inference, or general compute workloads.
- Large-Scale Clusters: 8 to 8,000 GPUs with InfiniBand networking for distributed training. Minimum 3-month contracts with custom pricing based on GPU type and duration.
- Serverless Training: Python and Docker execution on GPUs without infrastructure management. Per-second billing for code execution with automatic hardware selection.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Serverless Inference - Pay per million tokens |
| Unit Pricing | Monthly | Dedicated Endpoints - Reserved GPU capacity |
| Usage-based | Pay-as-you-go | On-Demand VMs - Full root access with per-second billing |
| Subscription | Multi-year contract | Large-Scale Clusters - 8 to 8,000 GPUs with InfiniBand |
| Subscription | Multi-year contract | Long-term Contracts - Volume discounts for committed usage |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels6 records
Lyceum product offering
Product offeringCore offering
Lyceum operates a European GPU cloud platform providing serverless inference APIs, dedicated endpoints, on-demand GPU virtual machines, and large-scale InfiniBand GPU clusters (8-8,000 GPUs) for AI training and inference workloads. The platform features an AI-powered orchestrator (Pythia) that analyzes workloads at the compiler level to predict VRAM, runtime, and optimal hardware selection, with EU data residency and GDPR compliance built in. Customers access compute via per-second billing, Docker-native execution, and an OpenAI-compatible API for drop-in replacement of hyperscaler services.
Product overview
Lyceum is a GPU cloud platform providing a unified platform for AI inference and training workloads. The core offering spans four product areas: (1) Inference — Serverless Inference (pay-per-token API to open-source LLMs) and Dedicated Endpoints (reserved GPU capacity for production); (2) Training & Execution — Serverless Training (Python/Docker on GPUs without infrastructure management) and Dedicated GPU VMs (on-demand with full root access); (3) Infrastructure — Large-Scale Clusters (8–8,000 GPUs with InfiniBand for distributed training) and Cloud Notebooks (Jupyter on cloud GPUs); (4) Orchestration — Pythia AI Scheduler (compiler-level workload analysis predicting VRAM, runtime, and optimal GPU selection, with multi-cloud unified queuing and cloud bursting). The platform is characterized by per-second billing, EU data sovereignty (GDPR compliance, EU data residency), instant provisioning (~18s for VMs, ~28s for clusters), Docker-native execution, and automated hardware selection. It targets AI startups, infra teams, and enterprises across Europe.
Differentiator
Problem solved
Functional benefit
Products and services
- Serverless Inference Pay-per-token API access to pre-hosted open-source LLMs with no GPU management required. OpenAI-compatible interface supports streaming responses, multi-model hosting, batch and async inference pipelines, and scale-to-zero for cost efficiency. Targets AI teams wanting drop-in migration from US-based inference providers.
- Dedicated Endpoints Reserved GPU capacity (1x to 8x NVIDIA L40S, A100, H100, H200, or B200) for production model inference with 12ms latency, 2,847 requests/min throughput, 99.99% uptime SLA, and 83% GPU utilization. Targets production AI applications requiring consistent low-latency inference.
- Serverless Training Run Python scripts or Docker containers on GPUs without managing infrastructure. Per-second billing with automatic hardware selection via the Pythia AI scheduler. Jobs provision in seconds with no idle costs for early-finishing jobs. Targets ML engineers iterating on training workloads.
- Dedicated GPU Virtual Machines On-demand GPU virtual machines with full SSH root access, provisioned in approximately 18 seconds. Available with NVIDIA L40S (48GB), A100 (80GB), H100 (80GB), H200 (141GB), B200 (192GB), and B300 (262GB) GPUs at $1.19-$7.99/hr. Standard H100 spec: 32 vCPUs, 256GB RAM, 1TB NVMe. Storage at $0.10/GB/month.
- Large-Scale GPU Clusters GPU clusters scaling from 8 to 8,000 GPUs with InfiniBand interconnect for distributed training. Supports NVIDIA GB300 (288GB), B300 (288GB), GB200 (192GB), B200 (192GB), H200 (141GB), and H100 (80GB). Custom pricing with minimum 8 GPUs and minimum 3-month contract. Full cluster provisioning in approximately 28 seconds.
- Pythia AI Orchestration AI-powered orchestration layer that analyzes code at the compiler level to predict VRAM requirements, runtime, and optimal GPU type before execution. Automatically selects the best GPU (H100, A100, L40S) and location (on-prem vs. cloud) to prevent OOM errors and maximize utilization. Also provides unified multi-cloud job queuing across on-premise clusters, AWS/GCP/Azure, and Lyceum Cloud with automatic cloud bursting.
- Cloud Notebooks Jupyter notebooks hosted on Lyceum cloud GPUs, enabling interactive ML development and experimentation without managing infrastructure. Targets ML engineers for prototyping and exploratory work.
- EKS Hybrid Nodes Integration Custom Kubernetes integration that provisions AWS EKS Hybrid Nodes on-demand, plugging Lyceum GPUs directly into a customer's existing EKS cluster. One-click hybrid node provisioning without manual installation or specialized networking software. Allows customers to replace AWS GPU instances with Lyceum GPUs without changing their cloud setup.
Quantifiable outcome
- 38% shorter queue times than industry average
- +5 more outcomes
Companies that use Lyceum
Customer profileNamed customers2 records
Segments2 records
Ideal customer profiles3 records
Lyceum technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability7 records
Feature5 records
Lyceum partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered customer.
- AlbatrosscustomerAI/Product Discovery company using Lyceum serverless GPU for multi-daily model retraining. Lyceum engineers built custom EKS Hybrid Nodes integration allowing Albatross to use Lyceum GPUs within their existing Kubernetes cluster. Processes billions of user interactions monthly.
- SONALABcustomerEuropean audio AI company building voice AI tools for media post-production. Uses Lyceum infrastructure for development workloads with plans to expand into GPU training as they scale. Non-negotiable requirement: guaranteed EU data residency.
Scale indicators9 records
Recent moves6 records
Expansion highlights6 records
Lyceum competitors and assessment
Company assessmentDirect peers
- CoreWeave: Large independent GPU cloud provider offering on-demand H100/H200 clusters, serverless inference, and dedicated endpoints. Most direct comparable to Lyceum's product surface, though at much larger scale and primarily US-based.
- Lambda Labs: GPU cloud specialist offering on-demand GPU VMs, clusters, and inference for AI workloads. Closely comparable product portfolio and target customer base to Lyceum, with per-hour GPU pricing.
- RunPod: GPU cloud platform with per-second billing, serverless endpoints, and on-demand GPU pods. Closely matches Lyceum's pricing model and developer-focused positioning.
- Modal: Serverless GPU platform for AI/ML workloads with developer-focused ergonomics and per-resource billing. Comparable to Lyceum's serverless training and inference offerings.
- Together AI: GPU cloud with focus on open-source LLM inference and training, offering serverless endpoints and dedicated clusters. Directly comparable inference product surface and open-source model focus.
Regional players
- Scaleway: European cloud provider (France-based) offering GPU instances and sovereign infrastructure. Comparable European footprint and GDPR positioning, though broader cloud portfolio rather than AI-specialized.
- OVHcloud: European cloud provider with GPU instances and strong sovereign cloud narrative. Comparable European data residency positioning and enterprise customer base.
- Hetzner: European hosting provider increasingly offering GPU cloud products with cost-competitive pricing. Comparable regional positioning targeting European customers seeking non-US providers.
Broad incumbents
- Amazon Web Services (EC2 / Bedrock): Hyperscaler offering GPU instances (P5, G5), Bedrock inference, and EU-only regions. The primary competitor Lyceum positions against on cost, sovereignty, and procurement friction.
- Google Cloud (GCP / Vertex AI): Hyperscaler with GPU VM offerings (A3, G2) and Vertex AI inference. Competes with Lyceum on price-performance and AI workload tooling, with EU regions for sovereignty.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Lyceum social profiles
Digital presenceLyceum compliance and trust
Trust signalCompliance1 record
Lyceum financial estimates
Financial estimateRevenue estimate
Valuation estimate
Lyceum leadership team
Management profileNumber of profiles
Profiles9 records
Lyceum funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Lyceum M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Lyceum
What does Lyceum do?
Lyceum operates a European GPU cloud platform providing serverless inference APIs, dedicated endpoints, on-demand GPU virtual machines, and large-scale InfiniBand GPU clusters (8-8,000 GPUs) for AI training and inference workloads. The platform features an AI-powered orchestrator (Pythia) that analyzes workloads at the compiler level to predict VRAM, runtime, and optimal hardware selection, with EU data residency and GDPR compliance built in. Customers access compute via per-second billing, Docker-native execution, and an OpenAI-compatible API for drop-in replacement of hyperscaler services.
Is Lyceum a public or private company?
Lyceum is a private company. It is classified as venture growth investor backed and is currently operating.
When was Lyceum founded?
Lyceum was founded in 2025. It employs 11 to 50 people.
Where is Lyceum based?
Lyceum is headquartered in Zürich, Switzerland, in the Europe region.
How does Lyceum make money?
Five revenue lines are on record. Serverless Inference is the primary driver. The others are dedicated Endpoints, on-Demand GPU VMs, large-Scale Clusters and serverless Training.
Who are Lyceum's main competitors?
Direct peers on record are CoreWeave, Lambda Labs, RunPod, Modal and Together AI. Regional players are Scaleway, OVHcloud and Hetzner. Broad incumbents are Amazon Web Services (EC2 / Bedrock) and Google Cloud (GCP / Vertex AI).
Does Lyceum have an API?
Yes. Lyceum provides an OpenAI-compatible inference API (OpenAI SDK-compatible) for deploying open-source LLMs. The API supports serverless pay-per-token inference and dedicated GPU endpoints. Authentication is via API key. Lyceum also provides a Python client library (`from lyceum import Client`) and a CLI (`lyceum gpu-selection run`) for training job submission and GPU selection. The Pythia AI scheduler integrates via the CLI and SDK. Documentation is available at docs.lyceum.technology. The API is production-ready (GA), with dedicated endpoints offering 99.99% uptime SLA, 12ms latency, and 2,847 requests/min. The inference API is compatible with standard LangChain and LlamaIndex integrations. Developer documentation is at docs.lyceum.technology.
What industry is Lyceum in?
Lyceum's product category is GPU Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDAAACAB, Model Hosting, Serving & Inference Platforms. Its NAICS code is 518 and its SIC code is 7370.