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Hey.
As always on Friday, it’s time to chat about what’s happening in the AWS Silicon universe this week. This time from July 10th, 2026 to July 17th, 2026.
Enjoy.
The best voice models, now across all channels
Most CX platforms do not own the voice. They orchestrate a workflow, then call a third party for speech and transcription. Every hop adds latency, cost, and another vendor to manage.
ElevenAgents is the opposite. They make the voice models the market builds on, and ElevenAgents puts full orchestration on top. Voice, transcription, text-based chat, and reasoning run in one vertically integrated pipeline, so responses come back in <400 milliseconds and sound human, not synthetic.
Plus, you keep full control. Plug in any LLM, integrate tools, webhooks, and MCP servers, and ground responses in your knowledge base. Get an agent live in minutes, then A/B test with Experiments, enforce Guardrails, and version every change.
The payoff: more human conversations, lower latency, and far less time stitching infrastructure together. You build on the models you already trust. Pricing is transparent and flat at $0.08 per minute.
News
The $225 billion commitment figure comes with recognizable names attached. Amazon's first-quarter report disclosed a commitment from OpenAI to consume approximately two gigawatts of Trainium capacity beginning in 2027, and an agreement under which Anthropic will secure up to five gigawatts of current and future generations of Trainium chips. Uber is using Graviton chips to match riders with drivers. And Meta Platforms signed on to deploy tens of millions of Graviton cores.
Articles and Tutorials
Graviton5 Outperforming Intel Xeon Granite Rapids But Falls Short Of AMD EPYC Turin, by Michael Laravel (Photonic Media)
I tried track changes on Amazon Redshift RG instances, by Ryo Suzuki
Video of the week: GravitonKV: KV-Cache Quantization Tradeoffs on AWS Graviton4 (CPU)
All for now.
See you next week.
Marcos out