The demand for energy-efficient, high-performance hardware is reshaping AI inferencing as large language models (LLMs), such as Llama3, continue to revolutionize natural language processing (NLP). Join us at “The Rise of FPGA-Accelerated LLMs” LinkedIn Live webinar to dive into the transformative role of FPGA acceleration in AI workloads. This LinkedIn Live Webinar in collaboration with Google and Myrtle.ai, moderated by Alex Woodie, Managing Editor — BIGDatawire.
Event Details:
- Title – "The Rise of FPGA-Accelerated LLMs"
- Date – December 11, 2024
- Time – 9:30 AM PST
- Duration – 60 minutes
- Platform – LinkedIn Live
- Registration – Reserve Your Spot Here
What You’ll Learn:
- Discover how FPGAs unlock unprecedented efficiency and performance for LLMs.
- See Achronix Speedster7t FPGAs in action, outperforming traditional GPUs in AI applications.
- Watch a demo of Llama3 models running on FPGA technology.
- Gain insights from Google perspective regarding challenges and solutions to meet generative AI workloads needs, now and into the future.
- Engage in an exclusive Q&A session with experts from Achronix, Myrtle.ai, and Google to explore the next wave of AI innovation.
Featured Speakers:
- Nick Ilyadis, VP Product Planning, Achronix
- Sarthak Singh, Engineer, Google
- Tom Lagatta, Executive Chairman, Myrtle.ai
- Moderator – Alex Woodie, Managing Editor, BIGDatawire
Why You Should Attend:
- Understand how FPGAs compare to GPUs and TPUs in tackling AI challenges.
- Explore real-world use cases, including automatic speech recognition (ASR), language translation, and closed captioning.
- Gain a competitive edge by learning about emerging AI hardware technologies shaping the industry.
Who Should Attend?
This webinar is ideal for AI/ML engineers, CTOs, and technology decision-makers eager to stay ahead in AI inferencing and discover cutting-edge hardware solutions.
Don’t Miss Out! Secure your spot today and join us for this must-attend discussion on the future of AI hardware. Register Here