As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s ...

Parallel Works, provider of the ACTIVATE control plane for hybrid multi-cloud computing resources, and Tesoro VC, an accelerator and ve ...

The surge in interest in AI software stocks has been reinforced by a parallel rally in AI hardware Read more at The Business ...

Analysts say Intel’s success will hinge less on hardware and more on overcoming entrenched software lock-in and buyer inertia ...

Samsung’s Exynos 2600 posts strong Vulkan and OpenCL benchmark scores, coming surprisingly close to Qualcomm’s Snapdragon 8 ...

The AI in semiconductor market is experiencing explosive growth, driven by demand for high-performance computing (GPUs), data ...

Supercomputing has shifted into the mainstream, with recent AI advancements and adoption making the use of massive amounts of ...

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.

Abstract: The simulation of asteroid orbits requires high-precision numerical integration methods for accuracy. To improve computational efficiency, parallel computing strategies can be introduced ...

The launch of the Zhenwu 810E marks the latest initiative by China’s Big Tech firms to develop a domestic alternative to ...

Embedded systems developer Neousys Technology has announced the Nuvo-10109GC, a new high-performance edge artificial intelligence (AI) platform built to support NVIDIA’s 600W Blackwell GPU. The system ...

Abstract: Sparse tensors are prevalent in real-world applications, often characterized by their large-scale, high-order, and high dimensional nature. Directly handling raw tensors is impractical due ...