
WE CARE ABOUT EXPERIENCE
AI Ramp
Accelerate
Is a drop-in interposer that uses proprietary Pattern-of-Life AI, built on kernel density estimation, to tune communication collectives and memory paths at runtime autonomously. This immediately boosts cluster throughput, slashes GPU waste, and delivers hard ROI by cutting cloud bills and accelerating AI training times.
TRUSTED BY LEADERS
Top brands worldwide use and adore
AIRamp



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“AI for AI” – a software layer that makes existing NVIDIA and AMD GPU clusters up to ~40% faster in tokens‑per‑second, without changing models or hardware.
“We’re not just another LLM company; we’re building a vendor‑neutral, patented performance substrate that sits beneath the entire AI ecosystem and directly monetizes GPU spend.”
FUTUREPROOF DESIGN
Features that will
blow your mind
Zero-Code, Instant Acceleration
AIRamp-Accel works as a "drop-in interposer" (via LD_PRELOAD), meaning it intercepts and optimizes performance without requiring a single line of code to be changed in the customer's AI models or applications. This completely removes the single biggest barrier to adoption—engineering effort—and delivers immediate, measurable ROI from the moment it's activated.

Autonomous "Pattern-of-Life" AI
This is the core IP and the most impressive feature. The software doesn't just use static rules; it actively learns the specific "rhythm" of a customer's workload (training vs. inference, etc.) using kernel density estimation. This allows it to predict communication needs, pre-warm memory, and keep hot buffers pinned, crushing tail latency and adapting to workload shifts in real-time.

Zero-Risk "Fail-Soft" Deployment
For any enterprise IT department, this is a massive selling point. The "fail-soft design" means that if the software ever encounters an error or a missing symbol, it doesn't crash the application; it transparently falls back to the default vendor libraries. This makes deployment a "zero-risk" proposition, allowing customers to safely test and roll it out (via allowlist gating) across their fleet with total confidence.
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Get AIRamp today
and experience all the benefits



BUILT WITH PASSION
AIRamp delivers
incredible
value and savings

AI Ramp-Accelerate is not just an optimization tool; it's a market-maker.
We introduce AI Ramp Accelerate, which is a patented, drop-in software layer that acts like a Turbocharger and a Traffic Control System for your AI cluster.
It requires absolutely no changes to your existing models or frameworks. Our software layer intercepts the communication and deploys advanced logistics to solve the traffic jam.
How does it work?
1. We use a patented engine called PoLA (Pattern-of-Life Analysis) to predict the flow of data traffic across the cluster.
2. We then use this predictive knowledge to compress the data payload via a proprietary FP8 communication pipeline. It's like using advanced logistics to package goods more densely and manage the route before the trucks even start driving.
The Result: Turn $1 into $1.40
The result is immediate and significant:
• We deliver up to ~40% more tokens per second on communication-bound, multi-GPU workloads using the exact same hardware you own today.
• This performance uplift equates to approximately a ~29% reduction in GPU hours for the same workload. If a customer spends $100 million per year on GPU compute, that is roughly $29 million in potential savings or extra capacity.
Our one-liner is simple: We turn every $1 of GPU spend into $1.40 of AI.
This is not just a configuration tweak around existing software; it's a patented, cross-vendor transport engine. We have a deep technical moat, including the patented PoLA engine and a sophisticated TCP consensus protocol to ensure consistency across large clusters. Crucially, our system works seamlessly on both NVIDIA and AMD clusters.
The Market and The Ask
We are targeting a massive market: a 15–40 billion per year optimization layer sitting on top of the trillion-dollar AI infrastructure wave. Our near-term focus is the high-value market segment—hyperscalers, GPU clouds, financial firms, and defense clusters—where the communication bottleneck is felt the most






