Operations | Monitoring | ITSM | DevOps | Cloud

India's DPDP Act: What it means for where you host your data

India's Digital Personal Data Protection Act, passed in 2023 and enforced through subsequent rules, has reshaped the landscape for data hosting decisions for anyone processing personal data of Indian residents. The Act creates specific obligations that map directly onto infrastructure choices: where data can be stored, how consent has to be managed, what security measures are required, and what happens if things go wrong.

GPU Cloud security: Isolation, multi-tenancy, and protecting sensitive training data

GPU cloud security tends to get discussed as if it's the same problem as general cloud security. It isn't. GPUs sit between processes in ways CPUs don't. Training data passes through them in patterns that create specific exposure. Model weights derived from sensitive data are themselves sensitive material in ways most procurement processes don't recognize. And the multi-tenant nature of public GPU cloud creates failure modes that don't exist in CPU-only environments.

GPU Cloud for non-AI workloads: Rendering, simulation, and scientific computing

The GPU cloud conversation over the last three years has been almost entirely captured by AI. Marketing pages talk about training, inference, and foundation models. Vendor announcements focus on which NVIDIA card fits which LLM. Reference customers are AI companies. The infrastructure decisions being made in the market are shaped by AI's specific requirements - high VRAM, fast interconnect, FP8 support, continuous utilization patterns.

If they can turn it off, you don't own it - The AI kill switch problem

If someone else can turn it off, you don't own it. And most organisations haven't fully reckoned with what that means for their AI strategy. Civo Product Director Russ Smith draws a direct line from the Broadcom/VMware licensing shock to the Anthropic model restrictions, two different industries, same structural problem. When a vendor can change the rules overnight, businesses that built their strategy around that vendor are left with uncertainty and no clear next step.

NVIDIA B300 vs. NVIDIA B200: Blackwell Ultra vs. Blackwell

The Blackwell architecture arrived in 2024 as NVIDIA's answer to the next era of AI compute. The B200 set a new standard for inference performance, memory capacity, and training throughput, and many teams are still ramping up their use of it today. Then came Blackwell Ultra. The B300 is built on the same silicon foundation as the B200: same dual-reticle die design, same TSMC 4NP process node, same NVLink 5 interconnect.

An introduction to the NVIDIA B300: The Blackwell Ultra GPU

AI wasn't supposed to move this fast. Twelve months ago, the H100 was still the benchmark everyone measured themselves against. Six months ago, the B200 changed the calculus for serious inference workloads. Now there's the B300, NVIDIA's Blackwell Ultra GPU, and it doesn't just move the goalposts. It takes them off the pitch entirely. The B300 is the highest-performance GPU in the Blackwell family.

Konstruct product updates: GitLab support, platform broadcasts, and a permission model built for scale

July has been one of our most structurally significant releases yet for Konstruct. With 0.6, we've shipped a second git provider, a completely reworked authorization model, new tooling for AI-assisted troubleshooting, and a handful of improvements that are smaller in scope but large in impact for day-to-day platform operations. Let's walk through what shipped and why it matters. You can explore the full 0.6 release notes directly in the docs.

Your first Internal Developer Platform: Zero to day one

Building an Internal Developer Platform doesn't have to be a months-long project. Join us for a practical walkthrough where we'll spin up a fully functional platform from zero to production-ready in under 30 minutes. We're using Konstruct's Hosted Control Plane to show you exactly how fast modern IDP tooling can be. You'll watch as we deploy a team's first cluster, showcase the essentials that actually matter, and explore how this foundation becomes the backbone of developer productivity at scale.

This is what cloud freedom looks like

Proprietary tech. Vendor lock-in. Pricing you can't predict. The hyperscaler model has defined cloud computing for years. Civo was built to change that. Civo CEO Mark Boost sets out the vision, a multi-cloud and hybrid cloud future built on open standards, full cloud parity, and genuine user choice. Public cloud, private cloud, and AI infrastructure that gives you total control over your data, your infrastructure, and your spend.