RESEARCH PAPER: Blaize: AI For The Edge

By Patrick Moorhead, Karl Freund - October 13, 2020

While NVIDIA dominates the market for AI-specific silicon accelerating the training of neural networks, many AI startups are developing silicon to accelerate inference processing, both for data center and edge applications. CPUs have typically been the choice for inference processing, but this is changing rapidly as the size of neural networks grows exponentially and applications are emerging that require multiple neural networks to solve complex problems. This far surpasses a CPU’s processing power. One of the critical challenges for inference processors is the selection of the right balance of performance, cost and power consumption for a specific set of applications – one size will not fit all. Into this mix jumps California-based startup Blaize with the announcement of its first generation of production-ready platforms that, it contends, provide that balance for targeted edge applications.

You can download the paper by clicking on the logo below:

Table Of Contents

  • Introduction
  • Blaize Target Markets And Products
  • The Blaize Software Suite: Picasso And AI Studio
  • Early Blaize Customer Projects
  • Conclusions And Recommendations
  • Figure 1: Blaize's Packaging Options For Its GSP Chip For Standalone And Host-Connected Applications
  • Figure 2: Blaize Picasso Software Stack
  • Figure 3: Industrial Monitoring
  • Figure 4: Smart City Applications For Traffic Flow And Public Safety
  • Figure 5: Retail Applications

Companies Cited

  • Arm
  • Blaize
  • Daimler
  • Denso
  • NVIDIA
  • Samsung
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Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights)  in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.
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