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Adaptive Computing is a software company specializing in workload and resource orchestration solutions for high-performance computing (HPC) environments. Their flagship product, Moab HPC Suite, optimizes job scheduling, resource utilization, and overall efficiency for large-scale computing systems. They cater to industries heavily reliant on HPC, including research, higher education, and various commercial sectors.
Company : Adaptive Computing
Industry : High-Performance ComputingWorkload ManagementResource Orchestration
Adaptive Computing Key Value propositions
Adaptive Computing Latest news
In the News Archives - Adaptive Computing In the News
NAPLES, FL, UNITED STATES, January 9, 2024 Adaptive Computing Enterprises, Inc. has announced the launch of its adaptive.ai-as-a-service offering to deliver ...
Adaptive Computing | LinkedIn
Feb 9, 2014 ... ... major cloud provider, and spin up data ... Check out Adaptive Computing's new HPC-AI offering! ... https://adaptivecomputing.com · 2 · Like Comment ...
Home - Adaptive Computing Adaptive Computing Home
Adaptive continues to meet demand in the areas of Machine Learning, Artificial Intelligence, Big Data, and HPC Cloud. ... News and Events. Adaptive Computing ...
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Adaptive Computing SWOT Analysis
Strengths
Strong product portfolio focused on HPC needs.Established customer base in research and government sectors.Expertise in workload management and optimization.
Weaknesses
Limited brand visibility compared to larger software vendors.Potential challenges in penetrating new industry verticals.Dependence on a specialized market segment.
Opportunities
Growing adoption of cloud computing in HPC.Increasing demand for AI and data-intensive workloads.Expansion into new geographical markets.
Threats
Competition from larger cloud providers offering HPC solutions.Rapid technological advancements requiring continuous innovation.Economic downturns impacting research and HPC budgets.
Top Marketing Strategies for Adaptive Computing
Personalized User Onboarding
Tailor the onboarding experience to the specific needs of each user, guiding them through the platform effectively and highlighting features relevant to their HPC workload management requirements. This will boost user adoption and retention by providing a more personalized and efficient onboarding experience.
In-depth Buyer's Guide Creation
Develop a comprehensive buyer's guide that addresses the specific challenges and needs of technical decision-makers in the HPC space, providing valuable insights on how Adaptive Computing's solutions can address their needs. This will position Adaptive Computing as a trusted resource and establish thought leadership within the HPC market.
Content-Specific Call-to-Action Optimization
Refine the call-to-actions within your content to be more relevant to the specific topics and user segments you are targeting. This will increase conversion rates by aligning the call-to-action with the user's immediate needs and interests, making it more likely for them to take the desired action.
Adaptive Computing User Persona
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Adaptive Computing Geographic and Demographic Insights
Geographic Insights: The United States and China are the largest markets for Adaptive Computing. Other important markets include Japan, Germany, and the United Kingdom.
United States
45.5%
China
20.2%
Japan
10.3%
Germany
8.8%
United Kingdom
7.7%
Demographic Insights: Adaptive Computing's target audience is predominantly male (70%) and falls within the age range of 35-54, aligning with experienced professionals in technical roles.
Adaptive Computing Socio-economic Profile
Household and Income Insights: The majority of target users fall within the medium-income bracket and typically belong to households of 3-4 members.
Educational and Employment Insights: The target audience is primarily employed full-time, holding advanced degrees like University or College and Postgraduate qualifications.
Adaptive Computing Behavioral Insights
Interest-Based Insights: Target users are interested in technology, cloud computing, big data, artificial intelligence, cybersecurity, data science, and scientific computing.
Technology and Social Media Usage: Users primarily leverage desktop devices (70%) and favor LinkedIn for professional networking, indicating a tech-savvy audience.
Adaptive Computing Top Competitors
Competitor | Estimated market share | Top domains |
---|---|---|
Univa Corporation | 35.2% | Workload Management, Resource Optimization, Cloud Bursting |
Altair PBS Works | 28.7% | HPC Scheduling, Job Management, Cluster Optimization |
Slurm Workload Manager | 21% | Open-Source Workload Management, Job Scheduling, Resource Allocation |