Vultr

09/03/2026

What if you could go from an idea to a production-ready AI app in minutes?

Watch NativelyAI and Vultr build and deploy an AI application from a plain-English prompt – showcasing how teams can ship faster without assembling a complex AI stack.

We’ll recreate the “hands-on” experience: starting with a plain-Eng...

09/02/2026

Open and flexible cloud platforms have always been important. In the age of the agentic AI data center, they’re critical.

Many companies find themselves locked into a hyperscaler’s tightly integrated, monolithic cloud stack, trapped by long-term contracts and closed ecosystems.

Many aren’t happy about it. New research from Forrester shows:

🔹 42% of IT leaders are unsatisfied or only partially satisfied with their cloud provider’s performance for conventional workloads
🔹 41% of IT leaders are unsatisfied or only partially satisfied with their cloud provider’s performance for processing AI or ML workloads

It’s no wonder a growing number of IT decision-makers are looking to alternative cloud providers for a way out.

Vultr VX1™ Cloud Compute gives enterprises greater choice and control over their infrastructure, without the constraints of a hyperscaler ecosystem.

Because the solution is x86-native, enterprises gain the best cost-to-performance ratio on the market without undergoing complex, costly refactoring. And because it is built on high-performance AMD solutions, IT leaders can rest assured that their agentic AI data centers are established on secure processors.

🔗 This is the cloud as it was always meant to be: flexible, low-cost, and secure. Learn more:

Cloud cost optimization has never been more crucial. It had also never been more difficult to achieve – until now.

09/01/2026

Built with Vultr infrastructure, Qdrant processed 10B documents into 25 TB of embeddings in approximately five days – demonstrating what it takes to run AI workloads at real-world scale. https://blogs.vultr.com/qdrant-fineweb-10b-vector-search-benchmark-vultr

08/31/2026

We’re proud and excited to share that Vultr was named a “Strong Performer” in The Forrester Wave™: Public Cloud Platforms, Q3 2026!

Providers well-suited for the AI era are the ones with full-stack CPU and GPU infrastructure that’s open, composable, global, and transparently priced.

We’re not built on proprietary stacks. We’re built for the real challenges facing enterprises today, and we’re getting ahead of the curve to solve the ones coming down the road.

Read more about The Forrester Wave™: Public Cloud Platforms, Q3 2026 and our placement: https://blogs.vultr.com/forrester-wave-public-cloud-platforms-q3-2026

08/30/2026

AI sales tools shouldn’t replace the rep – they should make the rep better.

Watch Deals Machine and Vultr explore how layered sales intelligence can coach reps in real time, understand your market, and learn from every conversation.

The more you sell, the smarter it gets.

https://youtu.be/psJLFp0sLo4

Most AI sales tools try to replace the rep. Deals Machine makes the...

08/28/2026

What if AI could make multi-cloud migration faster, smarter, and far less painful?

Watch FluidCloud and Vultr explore how Large Infrastructure Models (LIM) can automate cross-cloud Terraform migrations, replicate entire environments, and help teams move beyond legacy infrastructure constraints.

See how FluidCloud + Vultr are making infrastructure portability a competitive advantage.

The VMware exit has exposed a critical gap: traditional migration t...

08/26/2026

Hyperscaler managed services are convenient, but you’re often paying a premium for software that’s already available as open source.

From Redis and Postgres to observability, orchestration, and container registries, here are open source alternatives worth considering – and where the economics start to shift:

Explore open source alternatives to hyperscaler managed services for databases, caching, observability, orchestration, and more – and see where self-hosting can reduce costs and lock-in.

08/25/2026

Agentic AI is bringing the CPU back into the forefront.

That doesn’t mean enterprises can just tack a few more CPUs onto existing GPU racks. New, high-performance CPU servers are critical to adequately provide orchestration, data processing, and sequencing for AI agents.

With an approximately 1-to-1 GPU-to-CPU ratio required for agentic workloads, cloud cost optimization is key. Vultr VX1™ Cloud Compute was built for that reality.

🔗 Our blog covers how agentic AI is changing infrastructure requirements and how Vultr VX1 delivers: https://blogs.vultr.com/agentic-ai-cpu-server-vx1-cloud-compute

08/25/2026

Enterprise AI is moving from experimentation to production. So how do you scale without the infrastructure friction?

Watch Digital Realty and Vultr explore how AI-ready infrastructure, high-performance GPUs, and ServiceFabric help organizations deploy Private AI closer to their data – securely, compliantly, and at speed.

Enterprise AI is moving from experimentation to production, but inf...

08/24/2026

What comes after massive frontier models?

In this episode of Vultr’s Creators(x) series, Savannah Peterson sits down with Ofir Zan of VAST Data to explore what’s next for AI – from small language models and AI agents to tool use, robotics, and the infrastructure powering it all.

Watch the full conversation to hear why bigger isn’t always better – and why the next phase of AI may come down to how effectively models use tools and work together.

What does the future of AI look like beyond massive frontier models...