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Belgium 20-10-2026 Squad Only Virtual English

Deciding What Runs Where: Cloud, Edge, On-Prem, or Hybrid; How to place workloads based on performance, cost, sovereignty, resilience, and AI requirements.

Cloud decisions are becoming more selective. The challenge is deciding where each workload should run based on cost, performance, control, resilience, sovereignty, and business need. Three pressure points usually drive the decision. - Cost visibility becomes harder when usage grows across cloud services, data platforms, and AI workloads. - Performance and latency matter more when systems need fast access to data or support operational processes. - Sovereignty and resilience become critical when data location, continuity, vendor dependency, and exit options enter the discussion. The working question is simple: how do we place workloads where they create the most value while keeping the hybrid landscape manageable? If these trade-offs are on your agenda, let’s compare how others are handling similar choices.

Belgium 10-11-2026 Squad Only Virtual English

Choosing the Right Data Platform Without Creating New Silos; How to balance speed, flexibility, semantics, governance, and long-term maintainability.

Data platforms are meant to simplify access and support better use of data. The challenge is choosing and governing the platform landscape in a way that creates consistency, reuse, and long-term value. Three pressure points usually appear. - Platform choice becomes difficult when teams have different needs for speed, flexibility, cost, and control. - Business meaning needs protection: customer, revenue, product, risk, and FTE need shared definitions across tools. - Ownership and governance need to be clear, so platforms grow with accountability and discipline. The working question is simple: how do we give teams the data capabilities they need while keeping the platform landscape understandable, governed, and reusable? If these questions are familiar, let’s compare approaches with others facing the same data landscape.

Belgium 13-11-2026 Squad Only Physical English

Building the Business Case for New IT Capabilities; How to justify investment when value is strategic, shared, or only visible over time.

Many IT capabilities are essential and difficult to fund through a simple project ROI. The challenge is showing why architecture, governance, resilience, cybersecurity maturity, data foundations, and AI readiness deserve investment before the gap becomes expensive. Three pressure points make the case harder. - Shared value means the benefit often sits across several teams, while the budget sits in one place. - Timing creates friction because the cost is immediate while the value appears over time. - Risk translation is needed so business and finance leaders understand the consequence of delaying the investment. The working question is simple: how do we turn foundational IT capabilities into credible investment cases that link cost, risk, business value, and future flexibility? If you are building these cases internally, let’s compare how others are positioning value, risk, and timing.

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AI21 Labs Collaborates with Google Cloud to Integrate Generative AI Capabilities with BigQuery

AI21 Labs is using Google Cloud infrastructure to speed its model training and inferencing.

Leading AI research startup, running on Google Cloud's AI/ML infrastructure, to bring industry-specific generative AI capabilities to BigQuery

SUNNYVALE, Calif., Aug. 29, 2023 /PRNewswire/ -- Google Cloud today announced a new collaboration with AI21 Labs, an Israeli startup that fundamentally changes the way people read and write using generative AI and large language models (LLMs). AI21 Labs is leveraging Google Cloud's purpose-built AI/ML infrastructure to speed its model training and inferencing, and is also one of the first partners to offer generative AI features on top of BigQuery.

As a result of AI21 Labs' and Google Cloud's collaboration, customers can now use BigQuery connectors and functions to natively integrate several industry-specific generative AI capabilities. For example, retail customers can now use generative task-specific APIs for creating product descriptions or extracting insights from customer reviews, while financial services companies could use them to quickly analyze reports.

AI21 Labs has deployed Google Cloud's home-grown AI supercomputers, Tensor Processor Units (TPUs), for training and serving its advanced LLMs. By leveraging Google Cloud TPUs, AI21 Labs can take advantage of the same custom-designed, machine-learning infrastructure that powers many Google products. In combination with Cloud TPUs, AI21 Labs also benefits from Google Cloud's extensive portfolio of GPU VMs, including the recently announced A3 VMs powered by NVIDIA H100 GPUs. Google Cloud's open approach to AI development and leadership in custom silicon equips AI21 Labs with a more seamless experience rooted in its scalable, secure, and stable infrastructure.

"Google Cloud's vast portfolio of impressive AI hardware is why we chose to work with the company, and we're proud to now double down on expanding our generative AI solutions alongside them," said Ori Goshen, Co-CEO and co-founder, AI21 Labs. "Our partnership with Google Cloud has had a profound effect on our work to advance the possibilities of artificial intelligence and natural language processing, and today's news of our deepened collaboration marks an important step forward in that journey."

"AI21 Labs is a leading generative AI startup that is taking advantage of the incredible performance that Google Cloud's leading infrastructure offers," said Thomas Kurian, CEO, Google Cloud. "Our new BigQuery integrations are a great example of how we are working together to bring the value of generative AI to businesses in every industry."

To explore LLM-based capabilities from AI21 Labs, visit its website. To learn more about the AI/ML infrastructure powering AI21 Labs, visit cloud.google.com/tpu.

Additional Resources

Keep up with the latest Google Cloud news on our newsroom and blog.
Learn more about Google Cloud's BigQuery here.
Learn more about Google Cloud TPUs here and Cloud GPUs here.
Learn more about AI21 Labs here.

About Google Cloud
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

SOURCE Google Cloud

Technologies

Google Cloud A3 instances Google Cloud TPUs

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