Want More Control Over Your AI Workloads?
Cloud platforms have made AI experimentation easier, but as businesses move towards running AI agents, hosting LLMs and building automated workflows, relying entirely on cloud computing may not always be ideal.
Businesses may want greater control over their AI environment, data, performance and computing resources. In this case, dedicated AI compute Malaysia services may be the answer.
What Can You Run on Dedicated AI Compute?
The value of dedicated AI infrastructure isn’t simply about having a powerful GPU. It’s about what your business can actually do with it.
Run AI Agents and Assistants
AI agents can retrieve information, perform tasks and connect with business systems as part of automated workflows.
A dedicated DGX Spark can provide the compute environment needed to develop and run AI agents and assistants, supporting more capable models and agentic workflows. NVIDIA positions DGX Spark for developing AI agents and AI-augmented applications.
Host and Run Your Own LLMs
Businesses can host compatible AI models on dedicated infrastructure instead of sending every request to an external AI service.
This can be useful when teams need greater control over their AI environment or want to experiment with open models. DGX Spark provides 128GB of unified memory, 4TB NVMe storage and up to 1 PetaFLOP of AI performance.
Build RAG Applications
Retrieval-Augmented Generation (RAG) allows AI applications to retrieve information from company data before generating responses.
This can support internal knowledge assistants, document search, customer support and specialised business applications. Dedicated compute can run the LLM and supporting components of a RAG workflow within the same environment.
Run AI Automation Workflows
AI becomes more valuable when connected to business processes. Teams can use platforms such as n8n and Make to connect AI models with business applications and workflows.
DGX Spark provides dedicated compute for developing and running these AI-powered automation workflows.
Fine-Tune AI Models
Businesses can also customise AI models for specific industries, tasks or datasets.
NVIDIA states that DGX Spark can fine-tune models up to 70 billion parameters and run inference on models up to 200 billion parameters.
Why Not Run Everything in the Cloud?
Cloud compute is useful for businesses that need flexible, on-demand capacity. But for development, experimentation or workloads requiring greater control, dedicated AI infrastructure offers another option.
Build and experiment on dedicated compute, then scale to larger cloud or data-centre infrastructure when needed.
NVIDIA positions DGX Spark for prototyping, fine-tuning and inference, with workflows that can later scale to larger NVIDIA-accelerated infrastructure.
Why Choose Exabytes for DGX Spark?
Malaysia-Based Infrastructure
Exabytes hosts DGX Spark in its Malaysia data centre, providing Malaysian data residency and ultra-low-latency connectivity to Southeast Asia.
Dedicated, Not Shared
Your DGX Spark is dedicated to your business, so your workloads don’t compete with other customers for shared resources.
Enterprise-Grade Infrastructure
Exabytes provides the supporting environment, including enterprise-grade security, DDoS protection, 99.9% uptime and 24/7 local expert support.
Flexible Monthly Subscription
Businesses can access DGX Spark through a flexible monthly subscription, providing a practical way for startups, developers and growing AI teams to access dedicated AI compute without a large upfront investment in infrastructure.
Who Should Consider Dedicated AI Compute?
AI developers can use DGX Spark to build and test models, agents and AI-powered applications.
Startups can develop AI products without immediately building their own infrastructure environment.
Businesses can explore private LLMs, RAG applications and AI automation using dedicated compute.
Researchers and data scientists can use it for model experimentation, inference and data-intensive AI workloads.
The common factor is simple: you want more control over your AI compute without taking on the complexity of running the infrastructure yourself.
Running AI Workloads on Dedicated Infrastructure
Businesses can run compatible AI models on dedicated infrastructure such as NVIDIA DGX Spark instead of relying entirely on external cloud services. Exabytes hosts DGX Spark in Malaysia, providing dedicated AI compute, Malaysia-based data residency and remote access while managing the supporting infrastructure.
NVIDIA DGX Spark for AI Development and Experimentation
NVIDIA DGX Spark can support AI model prototyping, inference, fine-tuning, AI agents, RAG applications, automation and data science. With up to 1 PetaFLOP of AI performance and 128GB of unified memory, it provides dedicated compute for developers and teams working with demanding AI workloads.
Benefits of Dedicated AI Compute for Businesses
Dedicated AI compute gives businesses access to their own computing resources without sharing the system with other customers. It provides greater control over workloads while supporting LLM hosting, inference, RAG, AI agents and fine-tuning. Exabytes further provides Malaysia-based hosting, 99.9% uptime and 24/7 local expert support.
Private AI Infrastructure for Malaysian SMEs
Private AI infrastructure can suit SMEs that need greater control over AI workloads, business data or computing resources. Instead of building and maintaining their own infrastructure, businesses can access dedicated DGX Spark through Exabytes with managed hosting, security, connectivity and a flexible monthly subscription.
Can NVIDIA DGX Spark run AI agents and LLMs?
Yes. NVIDIA DGX Spark is designed to support AI development workloads, including AI agents, LLM inference and model fine-tuning. It can support inference with models up to 200 billion parameters and fine-tuning of models up to 70 billion parameters, making it suitable for advanced AI development, testing and experimentation.
Conclusion: Run Your AI. Keep Your Infrastructure Under Control.
Cloud AI has made experimentation easier, but businesses don’t have to rely on cloud compute for every workload.
Dedicated AI infrastructure can support practical applications such as AI agents, LLM hosting, RAG, automation, inference and model fine-tuning.
With Exabytes AI DGX Spark, businesses get a dedicated NVIDIA AI supercomputer hosted in Malaysia, with 128GB unified memory, 4TB NVMe storage and up to 1 PetaFLOP of AI performance.
Exabytes handles the infrastructure, security, connectivity and support.
You build the AI. Exabytes gives you the dedicated compute to run it.
