Workload Optimization

OpenAI–Cerebras Deal Signals Selective Inference Optimization, Not Replacement of GPUs

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’…

Full-Throttle Computing: Tailored Supercomputer Solutions

Michael Maniscalco, CTO of Applied Digital, draws an analogy between driving fast cars and the company’s offering, highlighting their capability to provide turnkey supercomputer clusters optimized for specific workloads. Emphasizing their “compute as a service” model, he underscores the flexibility they offer in catering to diverse customer needs and requirements.