Amazon Web Services (AWS)

Salesforce Expands Headless 360 Platform

Salesforce announced a major expansion of its Headless 360 initiative, introducing new Model Context Protocol (MCP) servers, a Data 360 MCP Server exposing nearly 200 Data 360 APIs, Slack integrations, developer tools, over 100 reusable Agent Skills, and headless experiences across its major clouds. The changes aim to make Salesforce business capabilities discoverable and invocable by authorized AI agents while preserving existing identity, permissions, workflows, and governance. The company highlighted customer use cases (Engine’s EVA support agent) and partner integrations with Slack and more than 20 partner applications, positioning Headless 360 as the architectural foundation for an "agentic" enterprise that lets AI agents act securely across enterprise systems.

Big Indie Pitch Winners at PGC Summit Shanghai

Pocket Gamer covered the winners of the Big Indie Pitch (sponsored by Xsolla) at Pocket Gamer Connects Summit Shanghai. Grave Seasons by Solo Game won Excellence in Gameplay and the event Grand Prix. Reap and Rush by Mecrew Games took Excellence in Art & Design and an Honorable Mention. Rhythm Hotel by SyncArc Studio won Excellence in Audio. Awards were presented by representatives from MyGamez, Xsolla, Steel Media and AWS. The article highlights prize categories (Gameplay, Art & Design, Audio, Honorable Mention, Grand Prix) and links to event and sponsor sites.

Cerebras Unveils CS-4 Wafer-Scale Rack

Cerebras revealed the CS-4, a fourth-generation rack built around the same 5nm wafer-scale engine (WSE-3) used in CS-3. CS-4 doubles performance versus CS-3 by increasing per-wafer clock frequency and power delivery, doubling memory bandwidth and off-wafer I/O (to 2.4 Tb/s), while retaining 44 GB of on-wafer SRAM. The rack is redesigned into modular, field-serviceable “backpacks,” increasing wafer engines per rack from two to three and enabling faster deployment and disaggregated inference via a field-upgradeable I/O module. Cerebras positions CS-4 for high-interactivity inference workloads and disaggregated setups with partners including AMD and AWS Trainium, while targeting roughly 2x performance growth per year and a 20x throughput improvement by 2027.