AI TOOL PROFILE
AHEAD: Cloud Infrastructure and Platform Engineering Services
- Operations
- Cloud Infrastructure
- Enterprise organizations
- Companies in regulated industries
- Organizations requiring high-density AI infrastructure
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise organizations, Companies in regulated industries, Organizations requiring high-density AI infrastructure
- Key use cases
- Enterprise AI Deployment, Cloud Environment Modernization, Developer Experience Improvement, IT Asset Management
- Integrations
- AWS, Microsoft Azure, Google Cloud Platform, ServiceNow, NVIDIA
- Official website
- Visit ahead official website
How AI is used
AHEAD is a professional services provider that engineers digital platforms across cloud, core, and edge environments. The company focuses on helping organizations manage legacy system complexity by designing and integrating customized infrastructure.
Their services are designed for enterprise-level businesses, particularly those in sectors like healthcare, financial services, and manufacturing. They provide strategic consulting and deployment, including a dedicated facility for high-density AI rack integration.
Buyers should note that AHEAD is a service provider rather than a standalone software tool. Implementation typically involves engineering work, such as cloud migrations, platform engineering for developers, or the physical deployment of liquid-cooled data center racks.
Key Features
AI Infrastructure Building
Design and deployment of AI infrastructure, including direct-to-chip liquid cooled racks for high-density workloads.
Cloud Migration and Modernization
Application-centric migration using rehost, replatform, relocate, and refactor patterns to move workloads to public or hybrid clouds.
Platform Engineering
Development of internal developer portals and Infrastructure-as-Code (IaC) templates to support software delivery pipelines.
Enterprise Automation
Implementation of workflow automation frameworks and network architectural standards to support IT operations.
ServiceNow Management
Modernization of enterprise service management platforms to support IT operations and incident response.
AHEAD Hatch
A platform designed for IT procurement and lifecycle management of deployed assets.
Use Cases
Enterprise AI Deployment
Building and integrating high-performance compute infrastructure and liquid-cooled racks to support AI/HPC workloads.
Cloud Environment Modernization
Migrating legacy on-premises workloads to AWS, Azure, or GCP using a modernization-focused approach.
Developer Experience Improvement
Building self-service developer portals and automated pipelines to reduce manual infrastructure setup for coding teams.
IT Asset Management
Using the Hatch platform to manage the procurement and lifecycle of IT hardware and software assets.
Integrations
- AWS
- Microsoft Azure
- Google Cloud Platform
- ServiceNow
- NVIDIA
- VMware
- Cisco
- Dell
FAQ
What does AHEAD do for AI infrastructure?
- AHEAD designs and deploys custom AI infrastructure, including the use of a dedicated facility for air- and liquid-cooled rack integration to handle high-density workloads.
Who is AHEAD's target customer?
- They primarily serve enterprise companies, especially those in sectors like financial services, healthcare, and manufacturing undergoing digital transformation.
How does AHEAD handle cloud migrations?
- AHEAD uses an application-centric approach including rehosting, replatforming, relocating, and refactoring to move workloads to public or hybrid clouds.
Source category: Operations
Source subcategory: Cloud Infrastructure
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