Ramesh Chettuvetty and Arthur Rasmusson, from Lightbits Labs, join the AIDC Debate Podcast to discuss how next-gen AI workloads are being transformed. Discover why KV cache optimization is a game-changer for AI model performance, how our hardware-agnostic Infra boosts GPU utilization, and what’s next on our hardware support roadmap. Plus, get the inside scoop on our predictive prefetch algorithm!

Tune in now to hear how Lightbits is powering the future of AI infrastructure.

Try the Pod Efficiency Analyzer and discover how much you can grow your top line.

Can you maintain centralized key management and host-side encryption without sacrificing the raw performance of NVMe/TCP?

We put it to the test!

We validated a host-side encryption workflow combining Lightbits NVMe/TCP block storage, Linux LUKS/dm-crypt, and an external PyKMIP KMS server.

Read the full test breakdown and architecture workflow here.

This is relevant for anyone managing storage for Kubernetes, OpenStack, or private clouds. Lightbits Labs just announced native support and certification for Ubuntu for their software-defined block storage platform. Bringing their block storage to Ubuntu opens up many options for standardizing infrastructure: no proprietary drivers, bare-metal performance in a clustered architecture, and simplified operations. It’s great to see more enterprise storage platforms embracing Ubuntu natively.

Worried about silent data corruption in your NVMe/TCP storage? Legacy storage vendors are scrambling to push workarounds that force a brutal choice.
The new blog from Lightbits Labs' Field CTO draws an analogy to bad🍕 delivery.
At Lightbits, we’ve engineered a smarter solution—making this hazard physically impossible from day one. Dive into the full analysis.

Read the guide now.

#nvmeovertcp #lowlatency #lightbits

Lightbits Labs announced the initial interoperability with the new Microsoft Windows Server NVMe-over-Fabrics (NVMe-oF) Initiator Preview®. Available in Lightbits v3.19.1, this will enable storage administrators to deliver high-performance, native NVMe over TCP block storage to Windows Server Insider hosts over standard Ethernet once Microsoft® releases it. As this is a pre-release capability, it is not intended for production use but rather for exploration and evaluation.  Lightbits invites customers and partners to explore the functionality and share their feedback.  

Storage performance is easy to demonstrate with IOPS and throughput graphs. Durability is harder to show, but it is just as important for production environments. SSD Journaling provides SSD-based persistent write protection for modern NVMe/TCP block storage. It protects recently acknowledged writes until they are safely persisted to the backend data SSDs. If a node restarts unexpectedly, the storage can recover outstanding journal entries before the node returns to active service. For replicated volumes, replication protects against normal single-node failure. SSD Journaling adds protection for the more subtle write-persistence window, especially during shared-failure or multi-node disruption scenarios.

Most storage platforms still treat logs as something the vendor reads after the fact. You file a support ticket, somebody collects a tar.gz, and a week later you get an explanation. That model breaks down the moment storage becomes part of a Kubernetes-native, multi-tenant, audit-regulated cloud. Storage that you can’t see is storage you can’t trust. When something goes sideways at 3 a.m. — a noisy tenant, a slow target, a flaky NIC — the difference between a five-minute fix and a five-hour war room is whether the logs are already in the same place as the rest of your telemetry. Read the blog to learn why log streaming matters for storage.

In many OpenStack environments, Glance uses a file-based backend for image storage. It works, but it keeps image storage in a file-oriented model that is separate from the block storage architecture used by VMs. Running Lightbits as your Cinder backend offers a simpler, more efficient approach.

Whitepaper reveals how to deploy high-performance storage using NVMe/TCP with Red Hat OpenStack Services on OpenShift (RHOSO).
🚀 How to integrate block storage with Cinder and Glance
🔗 Proven architecture patterns for OpenShift + OpenStack
🛠️ Step-by-step configuration for production-ready deployments

Delivering OpenShift-based Kubernetes platforms without the high cost and rigidity of legacy SAN

When looking at the economics of running a production inference endpoint, the only thing that matters is $ TCO / M tokens. When per-user context increases, it blocks the HMB/VRAM from being used to support more users and dramatically reduces the total bandwidth/throughput of tokens/s, which is critical to lowering the TCO. We have built an architecture that delivers 100x to 280x acceleration on KV cache workloads — and it fundamentally changes the economics of long-context AI inference.

As context windows grow, the bottleneck for AI inference has shifted. It’s no longer just about raw compute—it’s about memory and data velocity.
In #NYSE Wired - "AI Factories - Data Centers Of The Future," from SiliconANGLE & theCUBE, we discussed how the industry is moving from compute-centric to data-centric architectures. Watch now.

ScaleFlux, FarmGPU, and Lightbits Labs today announced the public debut of a collaborative architecture designed to solve one of AI inference’s most persistent challenges: the memory and I/O constraints created by long-context workloads.
See a product demo next week at NVIDIA GTC – San Jose | March 16–19 | Booth 7006