As enterprise interest in large language model (LLM) adoption continues to rise exponentially, the demand for robust generative AI (Gen AI) infrastructure is increasing due to diverse needs such as reduced power consumption, faster inferencing, affordable pricing, deployment flexibility, and specialized chips. This shift has prompted vendors to innovate, building and refining chip architectures for lower latency and enhanced energy efficiency. Additionally, they are creating comprehensive Gen AI development and workflow orchestration platforms and collaborating with service providers to offer industry and domain-specific customization for various enterprise requirements.
Avasant’s Generative AI Infrastructure Suite 2024 RadarView™ covers the supply-side trends. This report presents a comprehensive study of Gen AI infrastructure suite providers and closely examines the market leaders, innovators, disruptors, and challengers in this space. It also provides a view of key market trends and developments impacting the Gen AI infrastructure suite space.
Avasant evaluated 30 providers across three dimensions: product maturity, partner ecosystem, and investments and innovation. Of these 30 providers, we recognized six that brought the most value to the market over the past 12 months.
The report recognizes platform providers in four categories:
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- Leaders: NVIDIA
- Innovators: Intel
- Disruptors: AMD and Qualcomm
- Challengers: Cerebras Systems and Hailo
Figure 1 below from the full report illustrates these categories:
“Advancements in Gen AI are driving innovation in hardware, pushing for solutions that reduce power consumption and enhance sustainability,” noted Anupam Govil, managing partner at Avasant. “This shift is crucial as we balance the growing demand for compute-intensive tasks with the need for eco-friendly, high-speed processing.”
The reports provide several findings, including the following:
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- Gen AI infrastructure vendors have advanced their capabilities to accelerate LLM inferencing speed and optimize the required power consumption.
- Gen AI infrastructure vendors are acquiring companies to accelerate inference and training, penetrate new markets, and develop process-specific solutions.
- Technology firms and service providers reduce dependency on Gen AI infrastructure vendors to support client delivery and product development.
“As expensive chips remain inaccessible to many enterprises, renting GPUs and using decentralized networks will gain traction,” observed Chandrika Dutt, associate research director at Avasant. “This shift will spur a startup ecosystem focused on affordable semiconductor solutions, driving innovation and accessibility in the AI hardware space.”
The Generative AI Infrastructure Suite 2024 RadarView™ features detailed profiles of six hardware providers, along with an overview of their solutions, offerings, and experience in assisting enterprises in their responsible AI journeys.
This Research Byte is a brief overview of the Generative AI Infrastructure Suite 2024 RadarView™. (Click for pricing.)