AMD just announced the acquisition of Silo AI, the largest private AI lab in Europe. The companies have signed a definitive agreement for AMD to acquire Silo AI in an all-cash transaction valued at approximately $665 million.
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In the resounding buzz that AI stirred at Computex 2024 in Taiwan, literally all of the major semiconductor players had something to say, though not all had new technologies that will shape this burgeoning new landscape. AMD, on the other hand, stepped out with a full arsenal of new chip technologies targeted at AI-fueled computing from the client edge to gaming desktops and workstation, and the AI-infused data center.
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This morning, AMD marked yet another milestone with the announcement of its new Versal Premium VP1902 adaptive SoC (System On Chip) products. Semiconductor chip design is challenging and expensive. As such, there’s a lot of emulation, prototyping and verification work that goes into designing the next greatest processor, accelerator or platform product, and that’s where FPGAs (Field Programmable Gate Arrays) come in. You can think of FPGAs as both a virtual and physical sandbox for chip engineers to work in and emulate their designs in pre-production silicon, before committing to sending them out to expensive tape-out and chip fab processes for production ASIC (Application Specific IC) designs.
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PC gaming is big business these days, from eSports to game streaming, and the lion’s share of the unit volume in the GPU market is delivered at price points south of $400, driving display resolutions at 1080p. This is the target gamer demographic that Nvidia’s recent GeForce RTX 4060 Ti is aimed to address, and this week AMD launched an even more budget-friendly offering of its own with the new Radeon RX 7600, that drops in at just $269…
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Some estimates claim the global video streaming market was valued at over $89 billion in 2022, with expectations that it would expand at a compound annual growth rate (CAGR) of 21.5% between now 2030. As the industry expands, the demand for servers and appliances purpose-built to handle the workloads and optimize for latency, bandwidth, density and power will commensurately expand as well.
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There’s a silicon slugfest going on right now between AMD (Advanced Micro Devices) and its chief rivals Intel and NVIDIA. If it were not for the continued execution machine that AMD has proven itself to be under the leadership of its CEO, Dr. Lisa Su, one might think this stiff competition is an extremely tall order. But AMD is apparently oblivious, because the company continues a relentless pace of innovation.
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In a battle that seems as old as time, Advanced Micro Devices (AMD) has launched new gaming GPUs (Graphics Processing Units) based on its latest RDNA 3 microarchitecture, to do battle with chief rival NVIDIA and its latest GeForce RTX 40 series cards that launched back in October of this year. The new Radeon RX 7900 XTX and 7900 XT are AMD’s newest flagship cards, and the company has managed to deliver a competitive offering for PC Gamers at more attractive price points that deliver a solid value proposition. But before we dig into the particulars on performance and retail pricing, let’s have a high-level look at what makes AMD’s Navi 31 GPU, that powers these new gaming beasts, tick.
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Artificial Intelligence and Machine Vision have become and ever increasing part of our daily lives, both personally and professionally. Vision AI permeates everything from assembly line manufacturing to video chats, and touches our daily activities in many ways. As such, there is currently an immense demand for developers in the field.
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As the metaverse becomes a larger part of the enterprise, business, and our personal lives, the need to ensure high-speed, reliable and secure wireless communications into the metaverse – across the globe –becomes increasingly more important. To that end, AMD has just announced that its recently acquired Xilinx Zynq UltraScale+ RFSoC is being used in the development of multiple Evenstar radio units (RUs).
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This morning AMD announced it completed its acquisition of Silicon Valley adaptable computing powerhouse, Xilinx.
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3D V-Cache is essentially a 64MB SRAM cache manufactured on TSMC’s 7nm node that attaches directly on top of each core complex die (CCD) in a Zen 3-based processor, to effectively triple the amount of high speed L3 cache available to the processor cores.
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As you might imagine, out of the gate this cross-GPU platform functionality offers game developers significant incentive for adoption of FSR, with a rather large potential install base of gaming hardware (and gamers) that can benefit from the technology.
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Competing in the semiconductor industry is often a game of chess, placing long term bets several moves ahead that culminate for a winning strategy. The announcement of AMD entering into an agreement to acquire adaptive computing powerhouse Xilinx for $35 billion in an all-stock transaction, is a proverbial case study in Silicon Valley power moves. The transaction will be immediately accretive to AMD margins, cashflow and EPS, but what’s more interesting to me is the technology that Xilinx brings to the table, as well as the substantial market impact the combined companies could have.
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Even if you’re not a tech analyst, enthusiast or hyper-connected geek that follows the industry, it was obvious that we’ve achieved major technology milestones in 2019, and the pace of innovation is now accelerating dramatically and in some areas exponentially. Artificial Intelligence (AI) was perhaps the hallmark of technological advancement this year, with its amazing potential that’s both exciting and perhaps even frightening to some.
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Today marks the launch of AMD's EPYC family of processors for data center servers. Based on the company's Zen microarchitecture, it has become abundantly clear that AMD was targeting the lucrative data center market first and foremost with its new CPU architecture and the highly scalable Naples platform that leverages it.
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