High-bandwidth memory, or HBM, is already fast. But Samsung wants to make it even faster. The South Korean-based technology giant has announced its HBM-PIM architecture, which will double the speeds of high-bandwidth memory by leaning on artificial intelligence.
PIM, which stands for processor-in-memory, leverages the capabilities of artificial intelligence to speed up memory, and Samsung hopes that its HBM-PIM tech will be used in applications such as data centers and high-performance computing (HPC) machines in the future.
“Our groundbreaking HBM-PIM is the industry’s first programmable PIM solution tailored for diverse A.I.-driven workloads such as HPC, training, and inference,” Kwangil Park, Samsung Electronics senior vice president of memory product planning, said in a statement. “We plan to build upon this breakthrough by further collaborating with A.I. solution providers for even more advanced PIM-powered applications.”
A potential client for Samsung’s HBM-PIM is the Argonne National Laboratory, which hopes to use the technology to solve “problems of interest.” The lab noted that HBM-PIM addresses the memory bandwidth and performance challenges for HPC and AI computing by delivering impressive performance and power gains.
According to Samsung, the HBM-PIM works by placing a DRAM-optimized engine inside each memory bank in a storage subunit to enable parallel processing to minimize data movement.
“When applied to Samsung’s existing HBM2 Aquabolt solution, the new architecture is able to deliver over twice the system performance while reducing energy consumption by more than 70%,” the company stated. “The HBM-PIM also does not require any hardware or software changes, allowing faster integration into existing systems.”
This is different than existing applications, which are all based on the von Neumann architecture. In current solutions, a separate processor and separate memory units are needed to carry out all the data processing tasks in a sequential approach. This requires data to travel back and forth, often resulting in a bottleneck when handling large data volumes.
By removing the bottleneck, Samsung’s HBM-PIM can be a useful tool in a data scientist’s arsenal. Samsung claims that the HBM-PIM is now being tested by A.I. accelerators by leading A.I. solution partners, and validation is expected to be completed in the first half of 2021.
Nearly a month after announcing the GPT-6.1 Sol model, OpenAI unveiled GPT-6.1 Terra today. The latest addition to the family focuses on computer use, visual reasoning, coding, and professional work, while costing 50% less through the API than GPT-5.6 Terra.
OpenAI says Terra can handle everything from filling out browser forms and working inside spreadsheets to interpreting technical drawings and editing videos. The company says it can also complete computer-based tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol.
ASUS has started selling its UGen Intel Arc Pro B70 graphics card in Europe, bringing its take on Intel’s workstation GPU to customers with a hefty €1,799 recommended price. The card is available in Germany and Austria, while ASUS lists it at CHF 1,799 in Switzerland.
Intel first introduced the Arc Pro B70 in March 2026, with its own branded model starting at $949. ASUS’s version arrives several months later with the same core GPU architecture but a different cooling design and a higher power rating. The price also places it well above Intel’s original starting point, although the two prices are not directly comparable because ASUS’s European figure includes VAT.
Anthropic has officially filed to go public, and buried inside its S-1 is a blunt warning about the technology at the center of its business. The maker of Claude AI says advanced AI could cause everything from large-scale cyberattacks and geopolitical instability to catastrophic or even existential risks for humanity.
The warnings take up a surprisingly large part of the filing. Axios notes that more than 90 pages, or roughly a third of the prospectus, focus on risk factors. Many of them warn about what could happen as AI systems become more capable and autonomous.