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AIME

Full company profile

uuid000c7x8

Namestring
AIME
Legal namestring
AIME GmbH
Websiteurl
aime.info
Company typeenum
Private
Founded yearint
2019
Descriptiontext

AIME GmbH is a Berlin-based, founder-owned HPC system integrator founded in 2019 that designs, assembles, and operates AI compute infrastructure. The company's portfolio spans NVIDIA HGX-class 8-GPU servers (GX8-B300, GX8-B200, GX8-H200) built on dual AMD EPYC platforms, multi-GPU rack servers (A8005P, A8005, A4004), liquid-cooled and rack-mountable GPU workstations (G500, G500E, RS724, RS525), CPU servers (RS704, RS504), and high-density NVMe storage servers (RS524S, RS520H). Systems ship pre-installed with AIME's proprietary software stack: AIME MLC (a Docker-based ML container framework), the AIME Benchmarking Suite for performance validation, and the AIME API Server for LLM and diffusion-model deployment with OpenWebUI and vLLM integration.

AIME monetizes through three primary revenue streams: one-time hardware sales (multi-GPU servers starting at €7,449), server rental/hosting subscriptions via the Configure & Rent and Buy & Host programs in its Berlin colocation, and usage-based GPU cloud services priced from €0.55 to €1.06 per hour across Basic, Professional, and Enterprise tiers. A token-based AI Model API Rental offering extends monetization to deployed open-source models (LLaMa, Mixtral, Stable Diffusion). Customers span German and European enterprises and research institutions, with named logos including Fraunhofer, Siemens, Airbus, Zalando, Sony, Harman, Hitachi, Babbel, multiple Max Planck institutes, and numerous universities. The company explicitly markets GDPR compliance and German data sovereignty as differentiators.

The go-to-market combines a product-led e-commerce storefront with configure-and-buy functionality and an enterprise field-sales motion targeting large corporations, universities, and public agencies. All offerings are GDPR-compliant, hosted in Germany, with optional hosting in an ISO 27001 / DIN EN 50600 / TSI-certified colocation (BLN4). The company is bootstrapped, privately held by its two co-founders Toine Diepstraten and Henri Hagenow, and operates with a team of 1–10 employees.

Short descriptiontext

AIME is a Berlin-based, founder-owned HPC system integrator (founded 2019) that assembles NVIDIA GPU servers, workstations, and storage systems with proprietary ML software, and sells or rents them alongside a German-hosted GPU cloud and AI model API service to European enterprises, universities, and research institutions.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersBerlin, Germany
HQ citystring
Berlin
HQ countrystring
Germany
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
GPU servers, deep learning hardware, HPC workstations, AI cloud hosting, GPU infrastructure
Industry3 codes
1Model Deployment, Serving & Inference Platforms
CodeHDAAABAFPrimaryYes
2Enterprise Architecture & IT Operating Model
CodeBPAHAEABPrimaryNo
3Endpoint & Mobile Asset Management (UEM/MDM Asset Controls)
CodeBPAEAOAIPrimaryNo
NAICS code3 codes
  • Computer Systems Design Services541512
  • Software Publishers513210
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Computer Integrated Systems Design7373
  • Services-Prepackaged Software7372
Product category
HPC and AI Computing Infrastructure
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model3 records
1Hardware Sales
TypeOne Time License
Description

One-time sale of pre-configured GPU servers, GPU workstations, CPU servers, and storage servers. Customers purchase complete systems ready for AI/deep learning workloads.

2Server Rental
TypeSubscription Recurring
Description

Flexible rental programs for GPU and CPU servers with options spanning weekly, monthly, half-yearly, and yearly durations. Allows customers to access hardware without capital expenditure.

3Cloud Hosting
TypeUsage Based
Description

GPU cloud services providing on-demand access to GPU computing resources hosted by AIME. Customers rent compute time rather than purchasing physical hardware.

Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Supply Chain, Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Pricing details8 tiers
1Multi-GPU Servers - Starting price for enterprise multi-GPU server configurations
ModelUnit PricingBilling cadenceMulti-year contract
Notes

Starting at €7,449.00 for multi-GPU server systems configured for demanding AI workloads

2GPU Tower Workstations - Desktop-class GPU computing workstations
ModelUnit PricingBilling cadenceMulti-year contract
Notes

Starting at €6,849.00 for GPU tower workstation configurations

3GPU Rack Workstations - Rack-mounted GPU compute systems
ModelUnit PricingBilling cadenceMulti-year contract
Notes

Starting at €4,049.00 for rack-mountable GPU workstation configurations

4CPU Servers - Enterprise CPU-based server systems
ModelUnit PricingBilling cadenceMulti-year contract
Notes

Starting at €8,399.00 for CPU server configurations

5Storage Servers - High-capacity storage server systems
ModelUnit PricingBilling cadenceMulti-year contract
Notes

Starting at €8,749.00 for storage server configurations

6Basic GPU Cloud - Entry-level cloud GPU compute tier
ModelUsage-basedBilling cadencePay-as-you-go
Notes

€0.55 per hour for Basic GPU Cloud access

7Professional GPU Cloud - Mid-tier cloud GPU compute with enhanced performance
ModelUsage-basedBilling cadencePay-as-you-go
Notes

€0.89 per hour for Professional GPU Cloud tier

8Enterprise GPU Cloud - Premium cloud GPU compute tier
ModelUsage-basedBilling cadencePay-as-you-go
Notes

€1.06 per hour for Enterprise GPU Cloud tier with maximum performance

GTM typeB2B
B2B
Offering typeHardware or Manufacturing
Hardware or Manufacturing
Brand1 of 5 records shown
1AIME MLC
Description

Machine Learning Container Framework - Docker-based deep learning framework management system for model training and inference

aime.info
+4 more records
Core offering1 text field

AIME is a Berlin-based HPC system integrator that designs, configures and sells pre-built GPU servers, workstations, CPU servers and storage servers tailored for deep learning and AI workloads. The company complements its hardware portfolio with a proprietary software stack (AIME MLC, AIME API Server, AIME Benchmarking Suite) and offers flexible consumption via GPU cloud hosting, rental, and colocation services based in Germany.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

AIME is a specialized HPC system integrator offering a comprehensive portfolio of deep learning infrastructure products and services. The hardware lineup includes HGX Servers (GX8-B300/B200/H200 with 8x NVIDIA GPUs), Multi-GPU HPC Servers (A8005P, A8005, A4004), GPU Workstations (G500 tower, RS724/RS525 rack), CPU Servers (RS704, RS504), and Storage Servers (RS524S, RS520H), all featuring AMD EPYC/NVIDIA GPUs and preinstalled with the free AIME software stack. The software portfolio includes AIME MLC (Docker-based container management), AIME Benchmarking Suite (hardware evaluation tools), and AIME API Server (model inference platform with OpenWebUI/vLLM integration). Cloud services offer Basic, Professional, and Enterprise GPU instances (RTX 3090/4090 through H100/H200) with Configure & Rent, Buy & Host, AI Model API Rental, and Cluster Planning services providing flexible deployment options.

Product and service12 records
1AIME GX8-B300
CategoryHardware - HGX Server
Description

HGX deep learning server with 8x NVIDIA B300 Blackwell Ultra GPUs (288GB each, 2.3TB total), dual AMD EPYC Turin CPUs, up to 3TB DDR5 memory, 1.8 TB/s NVLINK switch and up to 8x 800 Gb/s network throughput. Targeted at enterprise customers running demanding AI training and inference workloads.

2AIME GX8-B200
CategoryHardware - HGX Server
Description

HGX deep learning server with 8x NVIDIA B200 SXM GPUs (180GB each, 1.4TB total), dual AMD EPYC Turin CPUs and up to 8x 400 Gb/s OSFP network connectivity for HPC cluster computing.

3AIME GX8-H200
CategoryHardware - HGX Server
Description

HGX deep learning server with 8x NVIDIA H200 SXM GPUs (141GB each, 1.1TB total), dual AMD EPYC Genoa/Bergamo CPUs and 900 GB/s NVLINK switch connectivity.

4AIME A8005P
CategoryHardware - 8x GPU HPC Server
Description

Multi-GPU server optimized for maximum deep learning and inference performance, supporting NVIDIA H200 NVL, RTX PRO 6000 Blackwell, H100 NVL and RTX PRO 5000 Blackwell GPUs.

5AIME A8005
CategoryHardware - 8x GPU HPC Server
Description

Multi-GPU server supporting NVIDIA L40S 48GB and RTX 6000 Ada 48GB GPUs with dual EPYC Turin CPUs and PCIe 5.0 bus speeds.

6AIME A4004
CategoryHardware - 4x GPU HPC Server
Description

Deep learning server with up to 4 GPUs/accelerators in 2U form factor, supporting NVIDIA H200, RTX PRO 6000 Blackwell, H100 NVL, L40S, RTX 6000 Ada and RTX PRO Blackwell series GPUs.

7AIME G500
CategoryHardware - Tower GPU Workstation
Description

5th generation high-end workstation supporting up to 4 high-end GPUs (NVIDIA PRO 6000 Blackwell Max-Q, RTX 5090), AMD Threadripper Pro CPUs, DDR5 memory and PCIe 5.0 bus technology.

8AIME G500E
CategoryHardware - Tower GPU Workstation
Description

Efficient multi-GPU workstation supporting up to 4 high-end GPUs with AMD EPYC Siena CPU, DDR5 ECC memory, optimized for sustained 24/7 operation.

9AIME RS724
CategoryHardware - Rack GPU Workstation
Description

Rackable GPU workstation based on ASUS RS720A-E12, configurable with dual AMD EPYC CPUs and up to 2 high-end NVIDIA GPUs including RTX PRO series.

10AIME RS525
CategoryHardware - Rack GPU Workstation
Description

Rack GPU server with EPYC Turin CPU, configurable with up to 2 advanced GPUs for demanding rendering, inference and GPU compute tasks.

11AIME RS704
CategoryHardware - CPU Server
Description

Enterprise rack server with dual high-performance EPYC CPUs (up to 256 cores), up to 4TB DDR5 memory and support for up to 12 NVMe SSDs totaling 180TB storage.

12AIME RS504
Scale indicator1 record

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierCoreTypeTechnology or Integration
Description

ASUS is a key hardware partner providing enterprise computing components and systems integrated into AIME's GPU server and workstation configurations. The partnership enables AIME to offer pre-configured systems built on ASUS enterprise hardware.

Strategic tierCoreTypeTechnology or Integration
Description

Gigabyte partnership provides high-performance server and workstation components for AIME's AI computing solutions. Gigabyte's enterprise-grade hardware forms the foundation of AIME's configurable systems.

Strategic tierCoreTypeTechnology or Integration
Description

AMD provides GPU computing technology integrated into AIME's systems. AMD processors and accelerators enable high-performance AI and deep learning workloads on AIME platforms.

Strategic tierCoreTypeTechnology or Integration
Description

NVIDIA is a critical technology partner providing GPU computing hardware including professional GPUs and data center accelerators. NVIDIA technology enables AI and deep learning capabilities across AIME's product range.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Lenovo ThinkSystem servers, including ThinkSystem SR670/SR780 and the Lenovo AI Innovators program, target the same multi-GPU AI server market as AIME's HGX and 8-GPU HPC lines, with significantly larger global reach.

TypeDirect peer
Description

RunPod provides on-demand GPU cloud instances (including H100/H200) plus serverless inference endpoints aimed at AI developers — directly comparable to AIME's Basic/Professional/Enterprise GPU cloud tiers and API rental product.

TypeDirect peer
Description

Vast.ai operates a marketplace for renting GPU compute across consumer and datacenter hardware, with a focus on AI training and inference at hourly rates — comparable consumption model to AIME's pay-as-you-go cloud and rental offerings.

TypeDirect peer
Description

Supermicro designs and manufactures multi-GPU servers and HGX systems built on NVIDIA and AMD silicon — overlapping AIME's hardware portfolio at scale, and a likely supply-chain/competitive alternative to AIME's pre-configured turnkey systems.

TypeRegional player
Description

OVHcloud is a European cloud provider offering GPU instances (H100, A100, L40S) and bare-metal servers hosted in EU datacenters — directly competes with AIME Cloud on European data-sovereignty positioning.

TypeDirect peer
Description

CoreWeave is a GPU-specialized cloud provider offering NVIDIA H100/H200/Blackwell instances for AI training and inference; competes with AIME Cloud directly for enterprise AI workloads, though at vastly larger scale and capital base.

TypeBroad incumbent
Description

Dell's PowerEdge/XE server portfolio and Dell AI Factory with NVIDIA compete across the same enterprise AI infrastructure buying motion that AIME serves, with much broader scale, services and global supply chain.

TypeBroad incumbent
Description

HPE's Cray/Apollo HPC systems and HPE Private Cloud AI provide enterprise-grade GPU compute platforms with global support — a broad incumbent alternative for the same research and enterprise customers AIME targets.

TypeDirect peer
Description

Lambda sells GPU workstations, multi-GPU servers (HGX-class) and Lambda Cloud GPU instances aimed at AI researchers and enterprises — the closest end-to-end analog to AIME's buy/rent/cloud hybrid model in the US.

TypeRegional player
Description

Hetzner is a German hosting provider offering dedicated GPU servers and cloud instances from EU datacenters at aggressive price points — competes with AIME's European-focused server rental and cloud offerings.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration2 records

Each record includes

Title, Type, Description, Source

AI capability5 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

AIME

HPC and AI Computing Infrastructureaime.info

AIME is a Berlin-based, founder-owned HPC system integrator (founded 2019) that assembles NVIDIA GPU servers, workstations, and storage systems with proprietary ML software, and sells or rents them alongside a German-hosted GPU cloud and AI model API service to European enterprises, universities, and research institutions.

What AIME does

AIME GmbH is a Berlin-based, founder-owned HPC system integrator founded in 2019 that designs, assembles, and operates AI compute infrastructure. The company's portfolio spans NVIDIA HGX-class 8-GPU servers (GX8-B300, GX8-B200, GX8-H200) built on dual AMD EPYC platforms, multi-GPU rack servers (A8005P, A8005, A4004), liquid-cooled and rack-mountable GPU workstations (G500, G500E, RS724, RS525), CPU servers (RS704, RS504), and high-density NVMe storage servers (RS524S, RS520H). Systems ship pre-installed with AIME's proprietary software stack: AIME MLC (a Docker-based ML container framework), the AIME Benchmarking Suite for performance validation, and the AIME API Server for LLM and diffusion-model deployment with OpenWebUI and vLLM integration.

AIME monetizes through three primary revenue streams: one-time hardware sales (multi-GPU servers starting at €7,449), server rental/hosting subscriptions via the Configure & Rent and Buy & Host programs in its Berlin colocation, and usage-based GPU cloud services priced from €0.55 to €1.06 per hour across Basic, Professional, and Enterprise tiers. A token-based AI Model API Rental offering extends monetization to deployed open-source models (LLaMa, Mixtral, Stable Diffusion). Customers span German and European enterprises and research institutions, with named logos including Fraunhofer, Siemens, Airbus, Zalando, Sony, Harman, Hitachi, Babbel, multiple Max Planck institutes, and numerous universities. The company explicitly markets GDPR compliance and German data sovereignty as differentiators.

The go-to-market combines a product-led e-commerce storefront with configure-and-buy functionality and an enterprise field-sales motion targeting large corporations, universities, and public agencies. All offerings are GDPR-compliant, hosted in Germany, with optional hosting in an ISO 27001 / DIN EN 50600 / TSI-certified colocation (BLN4). The company is bootstrapped, privately held by its two co-founders Toine Diepstraten and Henri Hagenow, and operates with a team of 1–10 employees.

AIME firmographics

Firmographics
Name
AIME
Legal name
AIME GmbH
Website
https://aime.info
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
1–10 employees
Short description
AIME is a Berlin-based, founder-owned HPC system integrator (founded 2019) that assembles NVIDIA GPU servers, workstations, and storage systems with proprietary ML software, and sells or rents them alongside a German-hosted GPU cloud and AI model API service to European enterprises, universities, and research institutions.
Ownership category
akta.pro rank

AIME industry classification

Industry
Product category
HPC and AI Computing Infrastructure
NAICS
Computer Systems Design Services (541512), Software Publishers (513210), Computer Systems Design and Related Services (54151)
SIC
Services-Computer Integrated Systems Design (7373), Services-Prepackaged Software (7372)
akta.pro primary industry
Model Deployment, Serving & Inference Platforms (HDAAABAF)
akta.pro secondary industries
Enterprise Architecture & IT Operating Model (BPAHAEAB), Endpoint & Mobile Asset Management (UEM/MDM Asset Controls) (BPAEAOAI)

Keywords

  • GPU servers
  • Deep learning hardware
  • HPC workstations
  • AI cloud hosting
  • GPU infrastructure

Where AIME is headquartered

Location

Headquarters

HQ city
Berlin
HQ country
Germany
HQ region
Europe

Offices1 record

Markets served

AIME business model

Business model
GTM type
B2B
Offering type
Hardware or Manufacturing
Cost components
Supply Chain, Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure

Revenue model

  1. Hardware Sales: One-time sale of pre-configured GPU servers, GPU workstations, CPU servers, and storage servers. Customers purchase complete systems ready for AI/deep learning workloads.
  2. Server Rental: Flexible rental programs for GPU and CPU servers with options spanning weekly, monthly, half-yearly, and yearly durations. Allows customers to access hardware without capital expenditure.
  3. Cloud Hosting: GPU cloud services providing on-demand access to GPU computing resources hosted by AIME. Customers rent compute time rather than purchasing physical hardware.

Pricing tiers

ModelBillingPrice
Unit PricingMulti-year contractMulti-GPU Servers - Starting price for enterprise multi-GPU server configurations
Unit PricingMulti-year contractGPU Tower Workstations - Desktop-class GPU computing workstations
Unit PricingMulti-year contractGPU Rack Workstations - Rack-mounted GPU compute systems
Unit PricingMulti-year contractCPU Servers - Enterprise CPU-based server systems
Unit PricingMulti-year contractStorage Servers - High-capacity storage server systems
Usage-basedPay-as-you-goBasic GPU Cloud - Entry-level cloud GPU compute tier
Usage-basedPay-as-you-goProfessional GPU Cloud - Mid-tier cloud GPU compute with enhanced performance
Usage-basedPay-as-you-goEnterprise GPU Cloud - Premium cloud GPU compute tier

Go-to-market motion2 records

Distribution channels4 records

Marketing channels7 records

AIME product offering

Product offering

Core offering

AIME is a Berlin-based HPC system integrator that designs, configures and sells pre-built GPU servers, workstations, CPU servers and storage servers tailored for deep learning and AI workloads. The company complements its hardware portfolio with a proprietary software stack (AIME MLC, AIME API Server, AIME Benchmarking Suite) and offers flexible consumption via GPU cloud hosting, rental, and colocation services based in Germany.

Product overview

AIME is a specialized HPC system integrator offering a comprehensive portfolio of deep learning infrastructure products and services. The hardware lineup includes HGX Servers (GX8-B300/B200/H200 with 8x NVIDIA GPUs), Multi-GPU HPC Servers (A8005P, A8005, A4004), GPU Workstations (G500 tower, RS724/RS525 rack), CPU Servers (RS704, RS504), and Storage Servers (RS524S, RS520H), all featuring AMD EPYC/NVIDIA GPUs and preinstalled with the free AIME software stack. The software portfolio includes AIME MLC (Docker-based container management), AIME Benchmarking Suite (hardware evaluation tools), and AIME API Server (model inference platform with OpenWebUI/vLLM integration). Cloud services offer Basic, Professional, and Enterprise GPU instances (RTX 3090/4090 through H100/H200) with Configure & Rent, Buy & Host, AI Model API Rental, and Cluster Planning services providing flexible deployment options.

Differentiator

Problem solved

Functional benefit

Brands

  • AIME MLC: Machine Learning Container Framework - Docker-based deep learning framework management system for model training and inference
  • AIME API Server
  • AIME Benchmarking Suite
  • AIME Labs
  • AIME Cloud

Products and services

  • AIME GX8-B300 HGX deep learning server with 8x NVIDIA B300 Blackwell Ultra GPUs (288GB each, 2.3TB total), dual AMD EPYC Turin CPUs, up to 3TB DDR5 memory, 1.8 TB/s NVLINK switch and up to 8x 800 Gb/s network throughput. Targeted at enterprise customers running demanding AI training and inference workloads.
  • AIME GX8-B200 HGX deep learning server with 8x NVIDIA B200 SXM GPUs (180GB each, 1.4TB total), dual AMD EPYC Turin CPUs and up to 8x 400 Gb/s OSFP network connectivity for HPC cluster computing.
  • AIME GX8-H200 HGX deep learning server with 8x NVIDIA H200 SXM GPUs (141GB each, 1.1TB total), dual AMD EPYC Genoa/Bergamo CPUs and 900 GB/s NVLINK switch connectivity.
  • AIME A8005P Multi-GPU server optimized for maximum deep learning and inference performance, supporting NVIDIA H200 NVL, RTX PRO 6000 Blackwell, H100 NVL and RTX PRO 5000 Blackwell GPUs.
  • AIME A8005 Multi-GPU server supporting NVIDIA L40S 48GB and RTX 6000 Ada 48GB GPUs with dual EPYC Turin CPUs and PCIe 5.0 bus speeds.
  • AIME A4004 Deep learning server with up to 4 GPUs/accelerators in 2U form factor, supporting NVIDIA H200, RTX PRO 6000 Blackwell, H100 NVL, L40S, RTX 6000 Ada and RTX PRO Blackwell series GPUs.
  • AIME G500 5th generation high-end workstation supporting up to 4 high-end GPUs (NVIDIA PRO 6000 Blackwell Max-Q, RTX 5090), AMD Threadripper Pro CPUs, DDR5 memory and PCIe 5.0 bus technology.
  • AIME G500E Efficient multi-GPU workstation supporting up to 4 high-end GPUs with AMD EPYC Siena CPU, DDR5 ECC memory, optimized for sustained 24/7 operation.
  • AIME RS724 Rackable GPU workstation based on ASUS RS720A-E12, configurable with dual AMD EPYC CPUs and up to 2 high-end NVIDIA GPUs including RTX PRO series.
  • AIME RS525 Rack GPU server with EPYC Turin CPU, configurable with up to 2 advanced GPUs for demanding rendering, inference and GPU compute tasks.
  • AIME RS704 Enterprise rack server with dual high-performance EPYC CPUs (up to 256 cores), up to 4TB DDR5 memory and support for up to 12 NVMe SSDs totaling 180TB storage.
  • AIME RS504

Companies that use AIME

Customer profile

Named customers5 records

Segments5 records

Ideal customer profiles5 records

AIME technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability5 records

Feature4 records

AIME partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core.

  • ASUScoreTechnology or IntegrationASUS is a key hardware partner providing enterprise computing components and systems integrated into AIME's GPU server and workstation configurations. The partnership enables AIME to offer pre-configured systems built on ASUS enterprise hardware.
  • GigabytecoreTechnology or IntegrationGigabyte partnership provides high-performance server and workstation components for AIME's AI computing solutions. Gigabyte's enterprise-grade hardware forms the foundation of AIME's configurable systems.
  • AMDcoreTechnology or IntegrationAMD provides GPU computing technology integrated into AIME's systems. AMD processors and accelerators enable high-performance AI and deep learning workloads on AIME platforms.
  • NVIDIAcoreTechnology or IntegrationNVIDIA is a critical technology partner providing GPU computing hardware including professional GPUs and data center accelerators. NVIDIA technology enables AI and deep learning capabilities across AIME's product range.

Scale indicators1 record

Recent moves6 records

Expansion highlights6 records

AIME competitors and assessment

Company assessment

Broad incumbents

  • Lenovo: Lenovo ThinkSystem servers, including ThinkSystem SR670/SR780 and the Lenovo AI Innovators program, target the same multi-GPU AI server market as AIME's HGX and 8-GPU HPC lines, with significantly larger global reach.
  • Dell Technologies: Dell's PowerEdge/XE server portfolio and Dell AI Factory with NVIDIA compete across the same enterprise AI infrastructure buying motion that AIME serves, with much broader scale, services and global supply chain.
  • Hewlett Packard Enterprise (HPE): HPE's Cray/Apollo HPC systems and HPE Private Cloud AI provide enterprise-grade GPU compute platforms with global support — a broad incumbent alternative for the same research and enterprise customers AIME targets.

Direct peers

  • RunPod: RunPod provides on-demand GPU cloud instances (including H100/H200) plus serverless inference endpoints aimed at AI developers — directly comparable to AIME's Basic/Professional/Enterprise GPU cloud tiers and API rental product.
  • Vast.ai: Vast.ai operates a marketplace for renting GPU compute across consumer and datacenter hardware, with a focus on AI training and inference at hourly rates — comparable consumption model to AIME's pay-as-you-go cloud and rental offerings.
  • Supermicro: Supermicro designs and manufactures multi-GPU servers and HGX systems built on NVIDIA and AMD silicon — overlapping AIME's hardware portfolio at scale, and a likely supply-chain/competitive alternative to AIME's pre-configured turnkey systems.
  • CoreWeave: CoreWeave is a GPU-specialized cloud provider offering NVIDIA H100/H200/Blackwell instances for AI training and inference; competes with AIME Cloud directly for enterprise AI workloads, though at vastly larger scale and capital base.
  • Lambda Labs: Lambda sells GPU workstations, multi-GPU servers (HGX-class) and Lambda Cloud GPU instances aimed at AI researchers and enterprises — the closest end-to-end analog to AIME's buy/rent/cloud hybrid model in the US.

Regional players

  • OVHcloud: OVHcloud is a European cloud provider offering GPU instances (H100, A100, L40S) and bare-metal servers hosted in EU datacenters — directly competes with AIME Cloud on European data-sovereignty positioning.
  • Hetzner: Hetzner is a German hosting provider offering dedicated GPU servers and cloud instances from EU datacenters at aggressive price points — competes with AIME's European-focused server rental and cloud offerings.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

AIME social profiles

Digital presence

AIME compliance and trust

Trust signal

Compliance2 records

AIME financial estimates

Financial estimate

Revenue estimate

Valuation estimate

AIME leadership team

Management profile

Number of profiles

Profiles3 records

AIME funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

AIME M&A and investment

M&A and investment

M&A

Investments

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

Frequently asked questions about AIME

What does AIME do?

AIME is a Berlin-based HPC system integrator that designs, configures and sells pre-built GPU servers, workstations, CPU servers and storage servers tailored for deep learning and AI workloads. The company complements its hardware portfolio with a proprietary software stack (AIME MLC, AIME API Server, AIME Benchmarking Suite) and offers flexible consumption via GPU cloud hosting, rental, and colocation services based in Germany.

Is AIME a public or private company?

AIME is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was AIME founded?

AIME was founded in 2019. It employs 1 to 10 people.

Where is AIME based?

AIME is headquartered in Berlin, Germany, in the Europe region.

How does AIME make money?

Three revenue lines are on record. Hardware Sales are the primary driver. The others are server Rental and cloud Hosting.

Who are AIME's main competitors?

Broad incumbents on record are Lenovo, Dell Technologies and Hewlett Packard Enterprise (HPE). Direct peers are RunPod, Vast.ai, Supermicro, CoreWeave and Lambda Labs. Regional players are OVHcloud and Hetzner.

Does AIME have an API?

Yes. AIME API Server provides scalable backend for AI model inference, enabling deployment of open-source LLMs (LLaMa, Mixtral, Stable Diffusion, etc.) with token-based billing. Features OpenWebUI integration for ChatGPT-like LLM interfaces, vLLM support for model serving, and GDPR-compliant operation. Allows users to rent AI models as API services where AIME deploys the desired model, provides optimal hardware, fast internet connection, and scales on demand. Developer documentation is at api.aime.info.

What industry is AIME in?

AIME's product category is HPC and AI Computing Infrastructure. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms, with a secondary code of BPAHAEAB, Enterprise Architecture & IT Operating Model. Its NAICS code is 541512 and its SIC code is 7373.

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