Videos Software & Technology

Reliable GPU infrastructure determines how quickly AI companies can execute. Teams developing private LLM platforms depend on consistent high-performance compute. Shared cloud environments often create delays when demand exceeds available capacity. Amberd CEO Mazda Marvasti says waiting for GPU capacity did not align with his company’s pace. Amberd required guaranteed availability to support its…

Developing a private large language model (LLM) on AWS can expose infrastructure constraints, particularly around GPU access. For smaller companies, securing consistent access to high-performance computing often proves difficult when competing with larger cloud customers. Mazda Marvasti, CEO of Amberd, encountered these challenges while scaling his company’s AI platform. Because Amberd operates its own…

Microsoft’s introduction of the Maia 200 adds to a growing list of hyperscaler-developed processors, alongside offerings from AWS and Google. These custom AI chips are largely designed to improve inference efficiency and optimize internal cost structures, though some platforms also support large-scale training. Google’s offering is currently the most mature, with a longer production…

OpenAI’s partnership with Cerebras has raised questions about the future of GPUs in inference workloads. Cerebras uses a wafer-scale architecture that places an entire cluster onto a single silicon chip. This design reduces communication overhead and is built to improve latency and throughput for large-scale inference. QumulusAI Senior Product Manager Mark Jackson says Cerebras’…

NVIDIA’s Rubin GPUs are expected to deliver a substantial increase in inference performance in 2026. The company claims up to 5 times the performance of B200s and B300s systems. These gains signal a major step forward in raw inference capability. Mark Jackson, Senior Product Manager at QumulusAI, explains that this level of performance is…

CG Infinity’s Salesforce Practice is built on deep, day-to-day engagement with the organizations it serves. Rather than operating as an external vendor, the team embeds itself with clients—working closely, consistently, and collaboratively—so decisions are informed by real context, trust, and shared accountability. This approach ensures Salesforce solutions are shaped not just by requirements, but…

CG Infinity’s Salesforce Practice is built around helping organizations move forward together, especially when initiatives span cross-functional teams with different priorities. The focus is on alignment—bringing the right stakeholders into the conversation early and ensuring decisions are made collaboratively so solutions serve the whole organization, not just one function. That capability is reflected in a…

Salesforce offers a broad ecosystem of tools and integrations, giving organizations flexibility but also introducing constant decisions about when to buy, build, or customize. The strongest strategies apply discipline to those choices, often relying on Salesforce custom development to ensure specific requirements are met without adding unnecessary cost or complexity. That balance is a…

Successful Salesforce initiatives rely on alignment as much as technology. When partners stay focused on delivery rather than shared priorities, projects risk meeting technical requirements without achieving real business success. The strongest outcomes come from teams that treat client priorities as the foundation for every decision and operate from a clear client philosophy. That…