Build ai infra

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Exxact is involved in building infrastructure for artificial intelligence by providing AI training workstations, AI training servers, AI inferencing solutions, and AI cluster infrastructure. They offer tools, platforms, and services that support the development and deployment of AI systems.

Improving is involved in modern digital services with expertise in areas such as AI/ML, cloud architecture, and platform engineering. This indicates that they provide tools, platforms, or services that support the development and deployment of AI systems, which aligns with building infrastructure for artificial intelligence.

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Adaptive Computing is involved in building infrastructure for artificial intelligence by offering Performance Intensive Computing as a Service (PICaaS) which includes compute instances, storage, and software for AI and ML. They provide tools, platforms, and services that support the development and deployment of AI systems, such as the Moab HPC Suite for workload and resource orchestration, adaptive.hpc/ai/ml-as-a-service, and the HPC Cloud On-Demand Data Center for scalable cloud systems management.

Scry AI provides AI-based products and solutions that enhance decision support, operational efficiency, and predictive analysis across various industries. They utilize a proprietary AI-based cognitive platform called CognitiveBricks® and offer a range of AI-based applications for automated data extraction, relationship analysis, and predictive anomaly detection. This indicates that they are involved in building infrastructure for artificial intelligence and provide tools, platforms, and services that support the development and deployment of AI systems.

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Supermicro is involved in building infrastructure for artificial intelligence by offering GPU servers optimized for AI and machine learning applications, and supports AI infrastructure with a broad selection of systems and solutions including NVIDIA, Intel, and AMD solutions. Additionally, they provide tools, platforms, and services that support the development and deployment of AI systems through their comprehensive portfolio of performance-optimized servers and data center solutions.

Deepsense.ai is involved in building infrastructure for artificial intelligence by providing AI guidance and implementation services, a Generative AI Solution Center, and an R&D Hub. They also offer tools and platforms that support the development and deployment of AI systems, as evidenced by their commercial projects and customized AI solutions.

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Mark III Systems is involved in building infrastructure for artificial intelligence and provides tools, platforms, and services that support the development and deployment of AI systems. They offer AI/ML and data science services, AI infrastructure, MLOps deployment, AI-optimized compute, storage, and networking solutions, and a range of AI software and frameworks for accelerating and scaling AI pipelines and stacks.

WEKA provides a data platform that supports AI and machine learning workloads, including GPU acceleration and high-performance data analytics, which are essential components of AI infrastructure. Additionally, the company offers solutions for cloud workloads and hybrid cloud storage, further supporting the development and deployment of AI systems.

Inkeep is involved in building infrastructure for artificial intelligence by providing tools and services that support the development and deployment of AI systems. Specifically, they use proprietary ingestion, embedding, chunking, and retrieval algorithms to find relevant content for user queries, and their retrieval augmented generation (RAG) engine minimizes hallucinations and provides accurate responses. This aligns with the criteria of building AI infrastructure and supporting AI system development.

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