Lightbits Labs

10/17/2026

Stop hardware stalls before they start 🛑
We’re heading to NVIDIA GTC Berlin (Oct 20–22)!
See how Inferra by Lightbits accelerates long-context AI inference, drastically lowers TTFT, and delivers superior tokenomics.
Heading to Berlin? Let's connect! 👇
https://www.lightbitslabs.com/event/nvidia-gtc-berlin/

10/16/2026

Why $/GPU/hr is destroying your LLM inference margins 📉

When serving long-context inputs or returning sessions, a huge chunk of your GPU fleet's time is spent on prefill—recomputing state the model has already seen. That’s zero-value work: hours spent, zero sellable tokens generated.

Start measuring the business value your hardware actually produces.

Read the full breakdown here 👇
https://www.lightbitslabs.com/blog/why-token-economics-matter-more-than-gpu-count/
Cache

10/15/2026

When you are one of the world's most ambitious eCommerce platforms, a legacy storage setup won't cut it during major traffic surges like Black Friday.
That’s exactly why Trendyol partnered with Lightbits to modernize its data infrastructure.
💥 >13X increase in Transactions Per Second
💰 >50% lower cost per transaction
⚙️ 2X replication for superior data protection with less NVMe investment
🌱 Smaller physical footprint with reduced power and cooling costs
🤖 Removed IOPS bottlenecks, fully unlocking data-heavy AI personalization engines
👉 Read the full case study to see how software-defined storage can future-proof your infrastructure: https://www.lightbitslabs.com/resources/ty-ecommerce-storage-case-study/

Breaking free from Ceph limitations to achieve >13x performance gains and >60% lower eCommerce storage costs. Download the case study.

10/13/2026

Exciting News! 📣
Lightbits Labs joins 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👇 https://www.lightbitslabs.com/resources/aidc-podcast-the-hidden-cost-of-long-context/

10/12/2026

Rebuilding a 10M+ token context window costs over 1.5 hours of 8-GPU compute time.
Why pay twice for the same prefill?

The KV cache is per-session state that grows linearly with context, dwarfing model weights. Discarding it when HBM fills up turns your memory wall into a massive recurring memory bill. When you offload and tier the KV cache over RDMA, restoring state becomes linear, reducing TTFT by 100x to 1000x.

Read our breakdown of inference economics: 🔗 https://www.lightbitslabs.com/blog/the-memory-wall-is-now-a-memory-bill-solved-by-kv-cache/

10/08/2026

Ready to supercharge your Lightbits Private Cloud deployment? ☁️
Unlock instant access to our complete documentation library—engineers can dive straight into installation guides, CLI references, and our AI-powered Doc Bot for real-time answers. Don’t miss out—bookmark the master map now and empower your team to build faster and smarter! 👉 https://www.lightbitslabs.com/blog/know-where-to-look-your-guide-to-lightbits-documentation-for-private-cloud/

Easily navigate Lightbits Private Cloud documentation. Use this complete map to find installation guides , cluster administration , API references , and troubleshooting resources.

10/07/2026

The KV cache path is being built right now—and it’s missing two crucial pieces.

Today, long-context LLM inference is bottlenecked not by whether we can store KV cache blocks, but by where and when those blocks move between flash, host memory, and attention kernels.

Most of the stack is coming together well across vLLM, SGLang, and DPUs. But two critical interfaces are completely missing:

1️⃣ A target-side extension point that turns flash from passive storage into prefetch-aware placement.
2️⃣ A ticket-bound host memory interface that lets planners manage GPU/host DRAM buffers safely without racing ex*****on.

We wrote an open invitation to accelerator, fabric, and storage vendors to co-design these two interfaces in the open.

Read the full breakdown by Arthur Rasmusson here: https://www.lightbitslabs.com/blog/the-two-interfaces-the-kv-path-is-missing/

What’s your take on how we should handle KV cache tiering across memory fabrics? Drop a comment below 👇

10/06/2026

Block Storage Architectures: HCI vs Disaggregated Storage
Learn how block storage architectures differ in HCI vs disaggregated storage, and which model delivers better scalability, performance, and cost efficiency.
https://ow.ly/pHiY50XH9Vo

10/04/2026

,
In AI inference, powerful GPUs are often underutilized. The bottleneck isn't processing power. It's memory and data movement. As context windows grow and more sessions run at once, GPUs can stall, recompute work they've already done, or idle waiting for data.

On the latest episode of Truthin IT, Mike Matchett and Lightbits Labs explain how Inferra solves this problem.

The payoff: faster TTFT, more tokens per GPU, and room for bigger context windows. And it's all possible on the hardware you already have.

If you run GPU clusters or build AI infrastructure, this podcast is worth your time.

🎧 Watch the full conversation: https://www.truthinit.com/index.php/video/6020/stop-wasting-gpus-how-predictive-caching-unlocks-70-idle-capacity/

This discussion examines AI inference as a major infrastructure bottleneck, particularly for cloud providers operating GPU clusters. The guests explain how growing context windows, session concurrency, and transformer-based workloads increase memory de...