Our team has experience across data center, IT environments, client devices, and edge compute to help create and execute robust testing and marketing opportunities.
Data Center and IT Infrastructure
Enterprise Technology
Operating environments: VMware, Kubernetes, Bare metal
AI, GenAI and emerging use cases
On-prem and cloud deployments: AWS, Azure, GC
IT Hardware
Servers, storage, networking, components
Competitive comparisons or generation over generation
Enterprise Software & Workloads
SQL and noSQL databases
Oracle, SQL Server, Cassandra, more.
Other enterprise applications or infrastructure
Consumer Devices and Edge Client
Consumer Products
Laptops/Desktop
AI and emerging workloads
Productivity testing and upgrade value
Gaming performance
Content Creator / Prosumer
Full system analysis
Component analysis
Commercial Workstation
Upgrade cycle testing
Enterprise workloads and security
Engineering, architecture, and production performance
Manageability analysis and IT work streams
Workload Pathfinding
Segment definitions: AI PC, thin and powerful, integrated gaming
Audience analysis
Application customization
Virtual review programs
AI & Future of Compute
AI and machine learning workloads span the gamut from enterprise to cloud to smartphones to laptops and of course solutions and services. Signal65 has been embedding AI testing and analysis in our work consistently across all segments and has built a robust expertise in performance analysis, proof of concept creation, workload generation and customization, and complex competitive analysis.
As the landscape for AI compute continues to evolve and expand, Signal65 will be your partner to understand and evaluate how it impacts your products and the market.