Press releaseKuala Lumpur, Malaysia —
Scicom Advances Open-Source AI Leadership with Launch of Two Flagship Developer Tools
The company's AI Enterprise division releases pyremote and llm-benchmaq, purpose-built tools that simplify AI infrastructure management and standardize large language model performance evaluation across enterprise environments.
The Lead
Scicom (MSC) Berhad announces the public release of two open-source tools developed by its AI Enterprise Solutions team: pyremote and llm-benchmaq. Together, these tools mark a significant step in Scicom's commitment to building accessible, enterprise-grade AI infrastructure. They help organizations deploy and evaluate artificial intelligence solutions with greater speed, consistency, and confidence. Both tools are now publicly available via Scicom's official GitHub repository.
The Strategy
As demand for large language model (LLM) integration accelerates across industries, organizations face a growing challenge: managing the complexity of AI deployments while ensuring consistent, measurable performance. Scicom's AI Enterprise division designed pyremote and llm-benchmaq to address precisely these friction points, reducing the operational burden on engineering teams and introducing a structured, repeatable framework for AI performance measurement.
These releases are particularly timely as the industry navigates a generational hardware transition. With Blackwell-generation GPUs delivering up to 2.5× faster training and significantly lower cost-per-token compared to previous-generation Hopper systems, organizations must now evaluate their infrastructure economics with greater precision. The right tooling can mean the difference between competitive advantage and wasted capital expenditure.
These releases are consistent with Scicom's broader strategic direction in digital transformation and AI-enhanced service delivery. By contributing production-ready tooling to the open-source community, Scicom reinforces its position not only as a technology adopter, but as an active architect of the evolving AI ecosystem, one that serves enterprise clients across government, telecommunications, and financial services sectors.
Executive Voice
“We are committed to keeping our AI infrastructure tools open-source, not just because it's the right approach for the community, but because we want the world to see what we're building. These tools solve real problems we've encountered in production, and we believe they can help other organizations accelerate their AI journey. We encourage developers and enterprises everywhere to use them, build on them, and make them even better.”
“In today's GPU economy, inference costs have dropped dramatically, but only for organizations that can measure and optimize their deployments effectively. llm-benchmaq gives teams the visibility they need to make informed infrastructure decisions, whether they're comparing Hopper versus Blackwell performance or evaluating cost-per-token across different model configurations.”
Key Highlights
pyremote: Simplified Remote AI Execution
pyremote enables engineering teams to run code on remote servers, including high-performance GPU infrastructure such as NVIDIA H100, H200, and B200 systems, as seamlessly as if it were running on a local machine. This dramatically reduces setup complexity for distributed AI workloads, allowing teams to focus on building rather than managing infrastructure.
llm-benchmaq: Standardized LLM Performance Evaluation
llm-benchmaq provides a ready-to-use benchmarking framework that allows organizations to consistently measure and compare the performance of large language models across different hardware configurations. The tool delivers a clear, replicable methodology for evaluating AI models, a critical capability for enterprises conducting procurement, quality assurance, or compliance assessments.
Open-Source Commitment & Community Access
Both tools are openly published under Scicom's AI Enterprise GitHub organization, making them freely accessible to developers, enterprises, and research institutions worldwide. This marks a continued expansion of Scicom's open-source portfolio, which now includes multilingual text-to-speech datasets and large-scale agentic training datasets.
About Scicom (MSC) Berhad
Scicom (MSC) Berhad is a leading global digital transformation solutions provider. Listed on the Main Market of Bursa Malaysia, Scicom specializes in integrated customer lifecycle management, digital government services, and e-commerce solutions. With a footprint spanning multiple continents, Scicom delivers innovative, AI-enhanced services to a diverse portfolio of Fortune 500 companies and government agencies. For further information, visit scicom-intl.com.
This press release contains forward-looking statements that involve risks and uncertainties. Actual results may differ materially from those anticipated. Scicom (MSC) Berhad is listed on the Main Market of Bursa Malaysia Securities Berhad.