Seismic workloads are limited by memory, causing GPU compute units to stay idle. Dataflow computing enhances utilization and efficiency for seismic HPC workloads. Maverick-2 enables seismic ...

Graphics processing units (GPUs) render graphics and support gaming and cryptocurrency tasks. Learn about their technological ...

TL;DR: AMD will unveil its RDNA 4-powered Radeon RX 9000M series laptop GPUs at Computex 2025, featuring six variants from the flagship RX 9080M with 64 Compute Units and 16GB GDDR6 to lower-power ...

TL;DR: The AMD Strix Halo APU, set for release in 2025, will feature the Radeon 8060S integrated GPU with 40 RDNA 3.5-based Compute Units, significantly enhancing integrated GPU performance. The ...

For most startups or independent developers, the cost of renting an NVIDIA H100 GPU in the cloud is now over $2 to $4 per hour, with waitlists that stretch ...

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...

There is a rumor that AMD will once again use a GPU with 96 compute units in the RDNA 5 architecture. This configuration was previously used in the Radeon RX 7900 XTX, which has 6,144 shaders. The ...

Decentralized cloud-based storage company Storj Labs Inc. said today it has acquired the graphics processing unit cloud provider Valdi Labs PBC. The deal means its customers will be able to access ...

A year and a half after launching the AMD Ryzen Z1 line of processors designed specifically for handheld gaming PCs, AMD is back for round two. And this time the company is introducing three chips ...

AMD Strix Halo is an upcoming laptop CPU architecture that leaks suggest will house by far the most powerful integrated GPU ever produced for PCs. So powerful is it that it outdoes the PS5 for ...

Distributed cloud compute-as-a-service startup Kinesis Network Inc. today announced the availability of a new serverless feature for enterprises to access its scalable “always-on” compute resources ...