Accelerating Multi-Cloud Workloads with Google Cloud and CoreWeave
Source: YouTube · CoreWeave · published Oct 9, 2026 · 31:29
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CoreWeave and Google Cloud are simplifying multicloud AI infrastructure by offering high-performance, GPU-optimized storage and instantaneous, API-driven cross-cloud networking, allowing enterprises to accelerate workloads without complex manual configurations 4:49 17:31.
Key Takeaways:
• CoreWeave’s "Chaos" object storage uses "Load," a patented NVMe node cache that scales linearly with GPU clusters, delivering up to 8x read performance improvements and 99.7% cache hit rates for large-scale training jobs 8:11.
• Load cache is included free with machine shape pricing, eliminating additional egress, ingress, or API operation fees, which significantly reduces the total cost of ownership for data-intensive AI workloads 9:17.
• CoreWeave introduced cross-region write acceleration, allowing checkpoints to commit locally while asynchronously replicating data to remote regions, ensuring metadata consistency and low-latency writes for distributed training 10:46.
• Google Cloud’s Partner Crosscloud Interconnect utilizes an open specification API to enable near-instant connectivity between Google Cloud and third-party providers like CoreWeave, replacing days-long manual port provisioning with a few clicks 21:11.
• This new interconnect model charges only for active usage time with no ingress or egress fees, and it automatically establishes private, redundant terabytes-scale connectivity in minutes rather than weeks 26:56.
• Google Cloud is expanding this open specification to include network providers like Lumen, aiming to provide a unified "button" interface for connecting clouds, on-premises data centers, and hybrid environments 28:52.
Closing Statement:
By combining CoreWeave’s specialized, high-throughput storage infrastructure with Google Cloud’s automated, API-first networking, enterprises can effectively manage distributed AI workloads across multicloud environments with greater speed, simplicity, and cost efficiency.
Sources:
- 4:49 Introduction of CoreWeave AI object storage ("Chaos") and its unique capabilities compared to traditional object storage.
- 8:11 Explanation of "Load," CoreWeave’s local object transport accelerator using NVMe node caching to accelerate data reads for GPUs.
- 9:17 Details on the billing model for Load, highlighting that caching storage is free and included in the machine shape price.
- 10:46 Description of cross-region write acceleration, allowing local commit of checkpoints with asynchronous replication to remote regions.
- 17:31 Engin from Google Cloud introduces his role and the focus on hybrid and crosscloud networking solutions.
- 21:11 Overview of Partner Crosscloud Interconnect, an open specification product enabling instant connectivity between Google Cloud and partners like CoreWeave.
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All right. Well, that's a quick second, so I'm getting the sign to uh to kick it off. So, how many people have seen the Hot Ones show other than the keynote segment? Okay. If you haven't seen it, please go to YouTube. It is very funny. Uh it's also uh Sean Evans actually asks very good interviewing questions to celebrities that are trying to promote things other than a typical night show host Q&A thing. Um it's all on YouTube. It's very funny. the five that Mike ate, well the four that Mike ate and Pondoff won weren't even the hottest ones. Uh so it gets even better the hotter they get. So I'd encourage everybody just take a look at that on YouTube. Um it's there. If we can flip the uh Do I need to do it here? Okay, good. Um so yeah, so again coming back to hot ones most important topic of…