Inference Has a Memory Problem. What Comes Next?
From the source: WEKA BlogTL;DR GPU memory is AI’s scarcest bottleneck — and the path forward isn’t more hardware. Here’s what you need to know: HBM supply is structurally constrained for years, driving up costs and forcing organizations to rethink their AI infrastructure strategies NeuralMesh augments GPU memory with pooled flash storage at latencies the GPU can’t distinguish from The post Inference Has a Memory Problem.…
Read the full story on WEKA BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More from WEKA
Recent updates from WEKA, so you can tell whether this is a one-off or part of a pattern.
Built With AI Clouds: Multitenancy That Scales and Economics That Finally Work
The leading AI cloud providers — including CoreWeave, Firmus, Lambda Labs, Nebius, and many others — have built businesses on the promise of shared, high-performance AI infrastructure. Delivering on that promise at scale means solving two problems simultaneously: giving every tenant the isolation they need to trust shared infrastructure, and keeping the economics efficient enough The post Built…
Your Kubernetes Workloads Aren’t CPU Bound — They’re Waiting on Storage
TL;DR Kubernetes workloads that scale compute without scaling storage become I/O bound — CPU stays low, but performance degrades. The symptoms are measurable: rising I/O wait, GPU idle time, and flat throughput despite adding pods. Traditional centralized storage suffers from controller and metadata bottlenecks, and limited parallel throughput, which compound at scale. Disaggregated,…
How AI’s Memory Wall Is Reshaping Infrastructure Strategy Beyond GPUs
The AI infrastructure crisis is here, and its cause might not be what you think. While the industry scrambles to secure scarce chips and expand data center capacity as AI workloads grow exponentially, a more fundamental problem is hiding in plain sight: the AI memory wall. And it’s draining billions of dollars from AI initiatives. The post How AI’s Memory Wall Is Reshaping Infrastructure Strategy…
More in Storage & Data Protection
What other companies in Storage & Data Protection are doing. The category page shows who’s active, side by side.
Cohesity Data Cloud introduces deferred execution for quorum
Consider this scenario. It’s Tuesday, and your change advisory board (CAB) signs off on revoking a service account's elevated privileges, rotating an encryption key, or clearing a legal hold. But the actual change cannot touch production until the Saturday night maintenance window. That is when you have support personnel on standby to troubleshoot or perform a rollback if required. In the…
Making Sustainability Count: Turning Environmental Impact into Business Insight
Making Sustainability Count: Turning Environmental Impact into Business Insight by Everpure Blog Impact accounting translates environmental and social impacts into monetary value, helping organizations like Everpure make more informed sustainability decisions. The post Making Sustainability Count: Turning Environmental Impact into Business Insight appeared first on Everpure Blog .
Sovereign AI Is a Control Problem, not a Location Problem
Data sovereignty is an architectural constraint for 50% of firms, yet only 10% budget for it, a critical gap where enterprise risk quietly accumulates.
Resilience Debt: Why AI Recovery Is More Than a Model
AI recovery takes more than restoring the model. Its data, instructions and settings must be restored too.


