Lots to like in Kubernetes 1.35

“The project keeps growing into branches, and the product is rooting itself to be a very mature foundation for things like AI and edge going into the future,” Drew Hagen, the Kubernetes 1.35 release lead, told Network World.

https://www.networkworld.com/article/4107891/kubernetes-1-35-enables-zero-downtime-resource-scaling-for-production-cloud-workloads.html

The stats in this report blew my mind - According to a new report today from Deloitte, the majority of enterprises are actually meeting or exceeding their own expectations for return on investment (ROI) from gen AI.

https://venturebeat.com/ai/deloitte-reports-that-74-of-enterprises-hit-gen-ai-roi-targets-though-challenges-remain/

NVIDIA is out today with new Guardrails tech that makes it dramatically safer and more secure for enterprises to run agentic AI in production.

“It’s not just about guard-railing a model anymore,” Kari Ann Briski said. “It’s about guard railing and a total system.”

https://venturebeat.com/ai/nvidia-boosts-agentic-ai-safety-with-nemo-guardrails-promising-better-protection-with-low-latency/

I've been tracking Apache Hudi and Onehouse for years. While I personally love looking at the nuances of all the different table formats for data lakes, this particular news is going to be more impactful for the vast majority of orgs.

https://venturebeat.com/data-infrastructure/apache-hudi-creator-onehouse-debuts-compute-runtime-with-up-to-30x-faster-data-lakehouse-queries/

I've had the good fortune to write about every PostgreSQL update since 2001 and it keeps getting better with each release.

Better vacuum operations, improvements to logical replication, incremental backup and SQL:JSON enhancements are among the many improvements.

https://venturebeat.com/data-infrastructure/open-source-postgresql-17-database-aims-to-make-data-operations-easier-and-faster/

“In the tech industry, so much is about the hype. Everybody is following everybody else like lemmings off a cliff, trying to chase the next big thing, and I don’t think that’s a successful strategy,” Linus Torvalds said.

https://www.networkworld.com/article/3526076/linus-torvalds-advises-open-source-developers-to-pursue-meaningful-projects-not-hype.html

https://www.networkworld.com/article/3518212/why-ebpf-is-critical-and-how-its-getting-better.html

I've been writing about eBPF since it first landed in the Linux kernel a decade ago. It's now more impactful than ever and it just keeps getting better.
“eBPF is amazing at enabling rapid innovation for infrastructure and for tooling at the operating system level,” Thomas Graf said in his eBPF Summit keynote yesterday.

To date, organizations that need to provide AI inference have generally had to run long running cloud instances, or provision hardware on-premises. Today, Google Cloud is previewing a new approach, and it’s one that could reshape the landscape of AI application deployment. The Google Cloud Run serverless offering is now integrating Nvidia L4 GPUs, effectively enabling organizations to run serverless inference

https://venturebeat.com/ai/google-cloud-run-embraces-nvidia-gpus-for-serverless-ai-inference/

https://venturebeat.com/ai/stability-ai-speeds-up-3d-image-generation-with-stable-fast-3d/

Not all that long ago, it used to be hard, really hard to generate 3D images. It was a process that involved complex wireframes, complicated software and beefy hardware. Today that's no longer the case.

Stability AI today announced a new generative AI technology called Stable Fast 3D to rapidly generate 3D images from a single image. Oh and it's fast too. According to Stability AI, the new model can generate a 3D image in half a second.

https://venturebeat.com/ai/cost-and-model-complexity-remain-barriers-to-enterprise-ai-ibm-finds/

There is no one large language model (LLM) to rule them all, at least not according to enterprise IT leaders surveyed by IBM.