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Today β€” 17 April 2026Main stream

Anthropic CPO leaves Figma’s board after reports he will offer a competing product

16 April 2026 at 18:28
Krieger's departure and any forthcoming design tools will be another data point for investors who fear the SaaSpocalypse β€” that the largest AI labs will come to dominate software businesses, a thesis that has rocked public markets at times this year.

InsightFinder raises $15M to help companies figure out where AI agents go wrong

By: Ram Iyer
16 April 2026 at 16:15
According to CEO Helen Gu, the biggest problem facing the industry today is not just monitoring and diagnosing where AI models go wrong β€” it's also diagnosing how the entire tech stack operates now that AI is part of it.

Wolfjaw CEO: AI Will Make Good Developers Great, But It Won’t Save Bad Ones

16 April 2026 at 19:00

An infographic titled 'AI' illustrates a 10-step game development process from conceptualization to long-term support, featuring icons for each step and a person using a VR headset and game controller at the bottom.

The debate over the use of generative AI tools for game development has raged across the industry for well over a year, and it doesn't seem to be letting up any time soon. As with anything related to AI, opinions are often polarized between those who want to take advantage of the new technology to improve games or simply to speed up the ever-growing development times, and others who are revolted at the mere idea of using it for any creative endeavor. In my most recent interview, Mitchell Patterson, CEO of backend developer Wolfjaw Studios, stressed that AI won't magically […]

Read full article at https://wccftech.com/wolfjaw-ceo-ai-game-development-good-developers/

NVIDIA Wants Everyone To Rethink AI TCO, & Explains Why β€œCost Per Token” Is The Only Metric That Matters

16 April 2026 at 16:00

NVIDIA Wants Everyone To Rethink AI TCO, & Explains Why "Cost Per Token" Is The Only Metric That Matters 1

As the AI industry enters the maturity phase, traditional terms have become outdated, which is why NVIDIA suggests that the new ways to think about AI TCO should be evaluated based on "Cost Per Token". NVIDIA Wants Everyone To Rethink AI TCO With "Cost Per Tokens" Metric Tokens are the single most important metric for AI. While yesterday's data centers were evaluated on their raw computing power, today's AI factories are evaluated on their token output. But it's not important for who does the most tokens, efficiency and cost are still the values that matter the most. That is why […]

Read full article at https://wccftech.com/nvidia-wants-everyone-to-rethink-ai-tco-explains-why-cost-per-token-is-the-only-metric-that-matters/

β€œYou Have to Be Creative”: Glen Schofield Thinks β€œTrue” Creatives Can Save AAA Gaming While Asking Artists to β€œLearn Some Form of AI”

16 April 2026 at 15:31

A character from The Callisto Protocol with a close-up view of their face and visible text 'B.I.P.' on their shoulder equipment.

Glen Schofield, the Dead Space creator and more recently the founder of Striking Distance Studios, the team behind the Dead Space spiritual successor, The Callisto Protocol, is the kind of industry veteran who is almost always up for sharing his thoughts on what he believes the path forward for the industry is. Last year, while also admitting that the commercial failure that was The Callisto Protocol might have been the last game he gets to direct in his long career, he also talked about the current state of the video game industry and why it's so difficult for anyone looking […]

Read full article at https://wccftech.com/glen-schofield-thinks-true-creatives-can-save-aaa-gaming-asks-artists-to-learn-some-form-of-ai/

NetApp Expands Google Cloud Collaboration for Sovereign, Air-Gapped Deployments

16 April 2026 at 17:25

NetApp announced an expanded collaboration with Google Cloud, formalized through a four-year enterprise agreement to accelerate the deployment of NetApp storage within Google Distributed Cloud (GDC) Air-Gapped environments. Delivered with World Wide Technology (WWT), the offering targets sovereign cloud use cases that require strict data residency, security, and operational isolation.

The joint solution integrates NetApp’s data platform with Google Distributed Cloud’s full-stack private cloud architecture. The result is an air-gapped environment that supports sensitive and classified workloads while maintaining compliance with national sovereignty requirements. NetApp positions its storage systems as secure-by-design, enabling organizations to deploy controlled infrastructure that supports modern applications and AI workflows without external connectivity.

Google Cloud Air Gapped graphic

NetApp integrates its AFF all-flash systems, StorageGRID object storage, and Trident Kubernetes storage orchestration into the GDC stack. Together, these components form what the company calls an intelligent data infrastructure. Within GDC, this architecture supports zero-trust security models, local data storage, customer-managed encryption keys, and full operational control. The platform enables organizations to extend cloud capabilities to on-premises or edge environments while maintaining isolation, or to operate in fully disconnected, air-gapped configurations.

The collaboration is primarily aimed at government and regulated industries, where data-handling requirements limit the use of traditional public cloud. NetApp leadership highlighted that these environments require infrastructure capable of handling classified data while supporting modernization initiatives. By integrating with GDC, NetApp enables enterprise-grade AI and analytics capabilities within accredited environments, allowing agencies to derive insights and automate processes without compromising compliance or sovereignty.

Google Distributed Cloud is designed to extend Google Cloud services to customer-controlled locations, including on-premises data centers and edge sites. Google noted that public-sector organizations face growing pressure to extract value from data while complying with strict regulatory frameworks. GDC addresses this by enabling the deployment of cloud-native services and advanced AI in sovereign and disconnected environments.

As part of this effort, Google has expanded the availability of its AI capabilities for regulated use cases. Gemini models are now supported in GDC environments, enabling generative AI functions such as automation, content generation, discovery, and summarization directly on-premises. These capabilities can run in fully disconnected deployments, allowing organizations to leverage advanced AI while maintaining strict security and compliance boundaries.

The NetApp and Google Cloud partnership reflects a broader trend of bringing cloud and AI capabilities into controlled environments. By combining enterprise storage with sovereign cloud infrastructure, the companies are targeting organizations that require both advanced data services and strict operational isolation.

The post NetApp Expands Google Cloud Collaboration for Sovereign, Air-Gapped Deployments appeared first on StorageReview.com.

Yesterday β€” 16 April 2026Main stream
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