Solutions – TinkerBloX

Our Solutions

TinkerBloX turns execution efficiency into real-world outcomes – solving critical workload challenges and powering stories of AI in action.

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Stories we bring to life

The Challenge: Inefficiency across compute instances, severe OPEX challenges — GPUs and CPUs sitting idle while AI and mixed workloads compete for resources.

The Shift: UltraEdge standardizes and unifies execution across VMs, CPUs, GPUs, and accelerators — running more models per node with predictable latency and lower energy draw.

The Impact: Higher workload density, faster onboarding, and sustainable performance scaling across Data centers, Hyperscale and enterprise infrastructure.

The Challenge: AI and Mixed workloads competing for compute inside vehicle HPCs.

The Shift: UltraEdge orchestrates lean execution across vehicle platforms with deterministic execution efficiency and OTA reliability.

The Impact: Faster startup, lower latency, and real-time AI without compromising safety.

The Challenge: Constrained devices struggling to run AI & workloads locally.

The Shift: UltraEdge delivers instant startup, compact packaging, and unified orchestration for edge AI.

The Impact: Smarter, faster, energy-efficient products that scale reliably.

The Challenge: LLM and SLM inference workloads saturating clusters and inflating operational costs.

The Shift: NeuroPac + MicroBoost accelerate model execution while cutting latency, memory footprint, and energy consumption.

The Impact: Lean, deterministic inference — faster, cheaper, and more efficient for every AI product, service, and agent at scale.

Solutions Portfolio

Inference Workload Execution

Run AI inference leaner, faster, and at scale — side by side with other workloads – across heterogenous compute instances

The UltraEdge Advantage

Millisecond cold-starts — instant readiness for real-time applications.
Higher model density — pack more models per GPU/CPU, even when workloads are mixed.
Deterministic runtimes — predictable, low-latency serving every time.
Lean footprint — minimizes overhead, leaving room for non-AI workloads.
Better perf/watt — deliver more queries with the same energy budget.

Why It Matters

Serve AI inference at massive scale without disrupting other workloads.

Lower cost per query while running analytics, apps, and AI together.

Guarantee real-time inference in mission-critical loops, where safety systems and AI must coexist.

See Inference in Action

Training Efficiency

Accelerate training cycles while coexisting with inference and enterprise workloads.

“Siloed training environments that cannot run alongside inference or applications.”

The UltraEdge Advantage

Lightweight packaging
Smart scheduling keeps GPUs and CPUs consistently utilized.
Lower energy draw reduces operational cost during long training cycles.
Co-executives

Why It Matters

Achieve faster training while continuing to serve production workloads.

Cut training costs without taking other services offline.

Shorten development-to-deployment cycles in constrained environments.

Boost Training Efficiency

Lifecycle & OTA Management

Deliver, update, and manage AI — and mixed workloads — at scale with confidence.

The UltraEdge Advantage

Lightweight, secure packaging accelerates safe updates.
Staged rollouts and instant rollbacks minimize risk.
Millisecond service restarts ensure zero downtime.
Centralized OTA management provides control across AI and non-AI workloads.

Why It Matters

Deliver continuous updates without interrupting live workloads.

Simplify lifecycle management across distributed environments.

Ensure reliable OTA updates for both AI models and mission-critical software.

Deliver & manage AI

Mixed Workload Orchestration

Unify AI and traditional workloads under one execution layer

The UltraEdge Advantage

A single fabric orchestrates across CPUs, GPUs, NPUs, and accelerators.
AI workloads and traditional apps run side by side without conflict.
Deterministic runtimes enforce predictability and reliability.
Hybrid compute environments are unified under one orchestration layer.

Why It Matters

Reduce fragmentation and operational overhead.

Manage AI and non-AI workloads together with one stack.

Run safety-critical loops and AI inference predictably in parallel.

Boost Training Efficiency

Energy Optimization

Cut costs and scale sustainably across AI and mixed workloads.

The UltraEdge Advantage

Higher performance per watt across AI and non-AI workloads.
Consolidate training, inference, and applications onto fewer nodes.
Smart scheduling minimizes idle energy draw.
Built-in efficiency aligns with sustainability and ESG goals.

Why It Matters

Reduce energy costs while supporting diverse workloads.

Deliver sustainable AI and app performance without overspending.

Extend hardware and battery life while running mixed compute.

See Energy Savings

Optimize your workloads. Maximize your performance.

Let’s discuss how TinkerBloX can streamline your AI and mixed workload execution — from training clusters to real-time inference.

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