With the substantial daily progress in technology, it's simple to overlook that actual people, with lives and breath, are responsible for every major advancement in artificial intelligence or development of algorithms. Anat Heilper is accountable for infusing vitality into the architectural intricacies that render AI feasible.
At Intel, where she serves as the director of AI and Advanced Technologies, Heilper excels at bridging the gap between hardware and software. In essence, her role involves converting software objectives into effective hardware designs, guaranteeing that the underlying processes of software run smoothly and efficiently. With expertise in this area, she holds three patents related to compiler optimization for AI accelerators and was honored with the prestigious Individual Achievement Award (IAA) from Intel.
Certainly, Heilper isn’t working solo. Serving as the Chief Software Architect at Intel’s NNP-I (Neural Network Processor for Inference), she led a multinational team comprising more than 80 engineers. All this was done while managing a complex technology stack designed to develop advanced inferential capabilities. The NNP-I Spring Hill Intel's Data Center Inference Chip benefited greatly from her guidance and extensive technical knowledge, which were crucial to its success. Under her direction, the team ensured that NNP-I delivered top-tier performance and energy efficiency, boasting an impressive 4.8 TOPS/W for significant data center inference tasks. This achievement was highlighted at HotChips 2019 and documented in IEEE, cementing the chip's position as a frontrunner in the industry.
Conquering All Aspects of Various Routes
Heilper’s career shines through due to its versatility and diversity. This becomes quite logical considering the role she is expected to fulfill. For instance, her guidance and efforts towards the development and implementation of Gaudi2 are exemplary. The performance of Gaudi2 on ResNet-50 was 3.2 times greater than that of Gaudi1, 1.9 times better than an 80GB Nvidia A100, and 4.1 times higher than an Nvidia V100. It requires substantial flexibility and education to grasp the intricacies of technology along with its physical attributes and constraints.
From AI and image processing to real-time systems, Heilper has covered it all — from crafting kernel-level commands to collaborating with product teams. Her extensive and diverse background has equipped her with the skills needed to grasp system functionality across various tiers.
Since joining Intel’s CTO office as a permanent member, Heilper now holds a crucial position in shaping the future of AI technology architecture from scratch. Her primary responsibility involves leveraging her deep technical expertise alongside her ability to envision the overall design needed for systems yet to be created.
Embracing the Complex
Heilper's experience and technical skills are impressively diverse, and she has consistently adapted at each stage of her professional journey. Throughout her career, she has tackled various domains, collaborated with multiple teams, and mastered several technologies—from crafting low-level device drivers to developing AI compilation processes.
Exactly why her career foundation consists of multiple layers similar to those found in Heilper's creations, which merge technology with the tangible world. She welcomes transformation and doesn't shy away from questions without immediate answers until she finds them. Heilper has shattered boundaries as a female leader across different domains due to this relentless pursuit and passion for learning.
Gradually, Heilper has established herself as an authority by mastering intricate technical fields. Her proficiency has helped her connect the dots between technological frameworks and cultural design, empowering her to helm extensive initiatives with assurance.
What's Ahead for Heilper (and AI)?
Since Heilper is now focusing on the next phase of AI development, she must consider scalability, sustainability, and performance in unprecedented ways. Consequently, she sees the future of AI as much broader than just an engineering challenge.
Heilper suggests that this issue demands an equal measure of creativity, imagination, along with accuracy and technical expertise.
There are still many unknowns about where AI is headed next. But whatever that future holds, it’s safe to say that Anat Heilper will be behind the scenes building those blocks piece by piece.