Kove

Learn about Kove:SDM™, the world’s first patented software-defined memory solution, at kove.com As a result, each job receives exactly the memory it needs.

Kove® is the leading software provider of products and services that enable enterprises to reach their fullest potential, built on a long history of solving seemingly unsolvable technological problems. Our latest product, Kove:SDM™, is the world’s first patented software-defined memory solution – a scalable, breakthrough technology that empowers individual servers to draw from a common memory pool, including amounts far larger than could be contained within a physical server. Enterprises can now enjoy smarter AI and machine learning, faster rendering and number crunching, more powerful analytics, and the ability to put data center performance where it was never thought possible. Our success is driven by our creative, multidisciplinary approach to problem-solving that enables us to eliminate technological limitations on people and ideas. Tech support: https://kove.com/contact-us/

09/02/2026

Heading to the 2026 Federal Identity Forum & Expo? Don't miss our own John Overton there, speaking as part of an expert panel on "AI for Interoperability and Data Fusion." He'll discuss the right workloads for sharing memory across the identity architecture, as well as the most secure ways to manage data consistency, ownership, cache invalidation, and recovery — including Kove:SDM™, the world’s first and only commercially available software-defined memory solution. Don't miss this opportunity to connect and collaborate with the worldwide identity community. Register today: https://bit.ly/4qUSrfi

September 15–16, 2026
Westfields Marriott | Chantilly, VA

08/04/2026

Modern AI, analytics, and entity-resolution workloads are hitting a "memory wall." But the bottleneck isn’t compute. It’s memory — specifically memory that’s stranded. Instead, fix the problem with Kove:SDM™, the world’s first and only software-defined memory solution. To learn more about how Kove:SDM™ optimizes workloads on OpenShift unlike anything that was ever possible before, check out the latest Red Hat Developer blog: https://bit.ly/4wDB04C

03/11/2026

What if your real performance constraint wasn’t memory, but mindset? Kove:SDM™ turns stranded DRAM into a shared, high-performance resource across production environments. Radically simple to adopt, it requires no hardware changes and no app rewrites. Just software and instant memory scale, ready to deploy today. Learn more here: https://bit.ly/4bbwnVY

03/04/2026

Require fewer servers to reach your sustainability goals. Reduce your total cost of ownership while extending the life of your existing hardware. All while significantly cutting your time to solution. Kove:SDM™ is ready to help you achieve addition by subtraction. Learn how: https://bit.ly/4anUXUy

02/26/2026

Experience the power of our ecosystem at !

Kove is proud to join Red Hat in the Partner Pod. Visit the Red Hat booth for an interactive look at how we’re building the future of open innovation together.

Stop by to explore:
🚀 Success stories
🛠️ Joint solution deep dives
🎥 Exclusive video content

Where: Red Hat Booth (Hall 2, Stand 2F30)

02/17/2026

Increase your inference throughput without purchasing more GPUs.

Modern inference engines (vLLM, SGLang, TensorRT-LLM) depend on KV cache reuse to avoid recomputation and keep latency low. When KV cache outgrows system DRAM, data is evicted or recomputed, wasting GPU cycles and driving up cost.

The problem: falling out of DRAM is expensive.
Fast, predictable memory access becomes slow and unpredictable and has the potential for recompute - killing efficiency and increasing costs. Even the fastest NVMe tiers are 100–1,000x slower. Recompute may be worse still.

Kove:SDM™ removes that constraint.
• Sustain DRAM-class latency beyond local memory limits
• Support 5x larger CPU-side KV caches without tiering to storage or recomputation
• Keep GPUs productive instead of stalled on memory
• Scale inference memory independently of server DRAM

When KV cache stays resident, inference stays fast and GPUs stay efficient.
See how software-defined memory changes inference economics: https://bit.ly/3Oe3dxV

02/12/2026

Maximize the efficiency, utilization, and performance of your existing infrastructure — with no new code or hardware required. Just add Kove:SDM™: https://bit.ly/4bLZOQx

02/03/2026

Here’s why this news matters. It signals that, as we’ve been saying for years, memory is no longer a background component of AI infrastructure, it’s a national, economic priority.

But the reality for enterprise teams shipping AI right now is, fab timelines don’t protect you from memory economics in 2026 and 2027. If your plan is to wait around for DRAM markets to “normalize,” you’ll only fall further behind.

The organizations that engineer around scarcity now with Kove:SDM™ are:
- Pooling memory across servers
- Reducing their stranded capacity
- Scaling workloads without scaling DRAM purchases at peak pricing

At a time when supply is getting the investment, it’s efficiency that needs the innovation. If memory is becoming your AI bottleneck, we want to know: what’s your plan to solve for it?

Read the full article from The Street here: https://bit.ly/3NMEXCR

01/23/2026

On average, only 30–40% of enterprise DRAM is actually utilized.
The rest sits idle, stranded by server-bound architectures.

At the same time, DRAM spot prices have surged, and supply constraints are expected to persist into 2027, as manufacturers prioritize HBM for AI accelerators. For many organizations, this creates a false choice: pay more for memory, slow AI initiatives, or wait.

The better option isn’t buying more memory.
It’s using the memory you already own far more effectively.

Kove:SDM™ transforms stranded DRAM into a shared, high-performance resource across the data center. By decoupling memory from individual servers, organizations can increase utilization, reduce overprovisioning, and scale memory-intensive workloads without buying additional DRAM at inflated prices.

The result is materially better economics:
- Higher memory utilization from existing assets
- Fewer servers required to support growing workloads
- Lower power, cooling, and total cost of ownership
- Faster time to value for AI and data-intensive initiatives

Organizations that rethink memory architecture now are better positioned to operate through continued price volatility — and to emerge more efficient on the other side.

Is your infrastructure team planning for the DRAM shortage?
We’d love to hear how you’re approaching memory constraints. Drop a comment or send us a DM and let’s maximize your memory architecture.

01/21/2026

The Enterprise Neurosystem’s latest article highlights an important milestone: the ratification of the Natural Language Interaction Protocol (NLIP), a step toward standardizing how AI agents communicate, reason, and act across systems.

Why does this matter for enterprise AI?
• AI agents only deliver value if they can operate at scale, in real time
• That scale is increasingly constrained by memory, not compute
• Standards like NLIP accelerate adoption, but they also expose infrastructure bottlenecks faster

Kove is proud to support and help fund the research and standards efforts behind initiatives like NLIP. Advancing open, interoperable AI requires sustained investment — not just in models and software, but in the foundational infrastructure that makes real-world deployment possible. As AI systems move from experimentation to production, the limiting factor is no longer models or orchestration frameworks. It’s the ability to access and scale memory dynamically, without rewriting applications or waiting on new hardware generations. There’s no simpler way to gain that ability today than by virtualizing memory across the data center with software-defined memory.

Read more in the article “Exciting News for the Natural Language Interaction Protocol (NLIP) and its Impact on Implementing AI Agents”: https://bit.ly/45YZry7

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