Know and boost your AI infrastructure for AI projects and services
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Ensure capacity and capabilities of your AI infrastructure for future AI workloads:
- Discover typical and hotspot workloads
- Find hidden your current infrastructure Capacity and get scalability to extent AI projects
- ShareAI Software Data Center Platform for AI workloads/GPU resources orchestration
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Identify HW/SW “bottlenecks”, get true efficiency of an infrastructure usage, model and estimate upcoming infrastructure needs
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Optimization services for HW infrastructure to reduce CAPEX/OPEX
Is excited to announce its membership in the NVIDIA Inception Program.
Refit your AI Infrastructure
Reduce an operational costs and increase an effectiveness of your AI hardware up to 50%
ShareAI Platform Data Center Software Service for AI workloads/HW resources orchestration for users, teams and projects
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On-premise
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Cloud
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Hybrid
Functionality
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Resource’s management and orchestration
Easy to add any HW accelerators and AI consumers to ShareAI TaskBoard
Compatible with all types of GPU/NPU/ASIC accelerators
Match AI task requirements to GPU capabilities
Priorities Quota Management
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Metrics
Full featured external interface (API) for connecting Billing/ERP/BI and other corporate systems
Monitoring
Metrics observability from AI Tasks & GPUs (Time/Performance/Efficiency/Power/etc.)
Insights for HW usage
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Scalability
Dynamic vs static GPU distribution model easy to in/out
AI workloads adoption for GPUs – small models for low-level GPU, large models for high-performance GPU
Capability to connect external HW- resources the AI TaskBoard (cloud)
Quick install on-prem/cloud
Team
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Co-Founder, CEO, Business
Andrianova Olga
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Co-Founder, CTO, Architect
Bycov Dima
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СРО, Product Manager
Andrew Star