**Model Serving Product Launches** [developing]
Key Questions
What is DigitalOcean's Agentic Inference Cloud?
DigitalOcean's Agentic Inference Cloud focuses on inference infrastructure, driving growth in 2026 with 31MW capacity and projected $120M AI ARR. It includes agentic kits and observability tools.
How does Amazon SageMaker G7e accelerate inference?
SageMaker G7e instances, like the 2xlarge, accelerate generative AI inference for open-source models such as GPT-OSS-120B, Nemotron, and Qwen3.5. It supports Trainium collaboration with Anthropic.
What is Redis Feature Form?
Redis Feature Form is an enterprise feature store for production machine learning. It enables governance and management of features for ML workflows.
What advancements are in Google's TPUs?
Google's TPU Ironwood v7 offers 10x performance improvements. They are partnering with Marvell and Broadcom for new AI chips to address surging inference costs.
What is FLUX1.1 [pro] Ultra?
FLUX1.1 [pro] Ultra by Black Forest Labs is an AI model with ultra-cheap pricing starting at $0.000 per 1M input tokens. It is available from multiple providers.
What are Together endpoints?
Together provides endpoints for model serving, enabling efficient deployment of AI models. They support various inference needs in the ecosystem.
How is Gemma 4 served on GCP?
Gemma 4 on Google Cloud Platform uses 256K context with vLLM and TPUs for optimized serving. It enhances performance for large-scale inference.
What is Mosaic on Databricks?
Mosaic integrates with Databricks for model serving, providing tools for governance and deployment. It supports reliable AI inference workflows.
DigitalOcean agentic 31MW GPU 2026 $120M AI ARR NVIDIA/AMD phased leasing; SageMaker G7e OSS GPT-OSS-120B/Nemotron/Qwen3.5 + Trainium-Anthropic; Together endpoints; Gemma 4 GCP 256K vLLM/TPUs; Mosaic Databricks; FLUX1.1 pro ultra-cheap; TPU Ironwood v7 10x; Redis Feature Form governance; AWS-Neura physical AI data.