The Ledger
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AWS's Sivasubramanian: AI scaling is not close to hitting a wall
“One, I don't think we are anywhere close to yet hitting that wall yet. So I do think we are going to actually see a lot of net new innovations when it comes to optimizing how to actually train these models in parallel and get better Utilization so that we can …”
AWS AI Chief: AI architectures beyond pure transformers are absolutely necessary
“I actually think, ah, new architectures are absolutely necessary in the future, ah, and, ah, there are already hybrid architectures evolving. I mean, ah, I mean in terms of state space models to actually connectors hybrid models between state space to transfor…”
AWS AI Chief: Enterprise AI needs smaller distilled models, not monolithic LLMs
“To put these LLMs to work to solve real world problems, you got to actually take some of these models and then customize it, and the end result is not the biggest model. It is actually a much more customized, smaller model or a distal model to solve specific b…”
AWS VP: Pure LLMs Won't Deliver Effective AI Reasoning Without Other Tools
“Reasoning capability is not, if we view it as purely like everything is going to be LLM driven, we as industry are going to be very, very not satisfied. That's why it has to be actually more iterative. And we work with LLM as one of the ingredients. It is not …”
Sivasubramanian: Trainium2 offers 4x faster training and 2x energy efficiency
“AWS actually, for instance, we have invested in technologies such as Trinium-II chips, which actually can deliver up to four X faster training. And, ah, also it is while improving energy efficiency up to two times, as an example.”
AWS's Sivasubramanian: No Single AI Model Will Rule the World
“And that's why I keep saying no one model and will rule the world in the future.”
Sivasubramanian: Amazon Bedrock guardrails improve AI model accuracy up to 84%
“We see up to 40, 84 percent improvement in further accuracy because of those capability as well.”
AWS AI Chief: AI's future is assisting humans, not autonomous AGI
“Intelligence is going to be constantly getting better, but it is going to be human assisted. Ah, ah, intelligence assisting humans is going to be the future, rest my guess.”
AWS AI VP: New model architectures will reshape AI scaling laws
“And if you see there are starting to see new kinds of architectures that are going to change how these models scale in the future. And I suspect, ah, that is going to change, ah, how These scaling laws are going to be reshaped as well when it comes to that is …”
Sivasubramanian: Anthropic will use AWS Trainium and Inferentia for future models
“Anthropic will also use AWS Tranium and Inferentia tips to build, train, and deploy their future models and as well.”
AWS AI Chief: Inferentia chips can cut AI computing costs by 40%
“So the EC two instances that are powered by our Inferentia chips deliver up to 50% better price performance per watt over comparable EC-II as well, and can reduce cost by up to 40% as well.”
AWS VP: LLM architectures will shift to hierarchical edge-and-cloud inference
“So, I expect LLNs to evolve in the same way, where there are a lot of, ah, decisions, especially if you have a powerful computing device, ah, which, ah, many smartphones and others, ah, to be having that, You can actually run some of those, ah, simple LLM thin…”
AWS VP: GenAI apps will chain multiple models and data connectors
“The way these generative AI applications are going to be built is actually like series of things chained together. Some of it is model inference. Some of it is actually workflows and whatnot. And that's why that pattern is going to be important. And they are g…”