My conversation with Penguin Solutions ( $PENG) and Astera Labs ( $ALAB) from Ai Infra Summit: Both working on CXL related solutions Astera is a $50B market cap company, and Penguin is a $2B market cap company, so there’s a huge size difference between the two I’m lumping them together because they do similar things at least in one of the lines of their business (Astera’s “Leo” CXL product, and Penguin’s compute solutions division) Penguin uses Astera Labs “Leo” controllers for their CXL offering (SMART) (although I guess the next generation will use Qualcomm if I remember correctly), but they layer on top more of a finished product experience primarily for enterprise users (not CSPs) who need some extra support beyond what Astera will provide. So their product is more suitable for Fintech/financial services, health care, and other industries where enterprise on-prem is in-demand These boards have DIM slots for LPDDR5 memory, which can be used to augment memory from GPUs (meaning a server tray can have less compute vis expensive GPUs by pooling in this board’s memory via LPDDR5) instead of having to either A. Have more GPUs ($$$) or B. Going all the way up to memory on the CPU which causes a big slowdown in memory access speeds. The next generation Astera “Leo 2” and Penguin’s next generation equivalent will both also be compatible with LPDDR4 Cool product. Can see the need, makes sense. I don’t know how defensible Penguin’s business here is though, I guess it’s niche enough that Astera is focused elsewhere, but I imagine that if on-prem got lucrative enough maybe Astera would come after it (many such cases across the showroom floor)

Congrats to @thinkymachines on the release of Inkling-small! A smaller variant of Inkling, now live on our AudioMultiChallenge and MCP Atlas leaderboards. Inkling-small is tied for🥇on AudioMultiChallenge, scoring about the same as the larger Inkling despite the size difference. Strong multi-turn audio performance has typically come from the biggest models, so this is a promising signal for teams building voice applications where latency and cost matter. Also notable, on MCP Atlas it ranks second among open models on tool calling, behind Kimi K3 and ahead of GLM 5.2. Holding up on both audio reasoning and tool use at this size is a strong showing.

🔥 Tiny blonde with big ass tattoo gets absolutely wrecked by a massive cock 🍑💦 Her small body bouncing hard on every thick inch 😈⬇️ 🔗 🔥Full video + more rough size difference content inside 👀⬆️

ChatGPT Images 2.6 prompt 👇 A cinematic vertical 3:4 medium standing two-shot captured at eye level — a striking visual of an exceptionally tall, muscular young East Asian man standing closely behind a petite, delicate young East Asian woman in a bright, minimalist interior. The towering athletic man has messy, textured black hair, a sharp jawline, and an intense, protective gaze, resting his chin firmly atop the woman's head. Dressed in a sleeveless heather-gray athletic tank top, his powerful muscular arms wrap completely around her in a secure, crossed hold. The petite woman reaches only to his chest, featuring long wavy dark hair, wide innocent eyes, flushed cheeks, and a cute surprised expression with slightly parted lips. She wears an oversized pastel-yellow long-sleeve cotton pajama shirt reaching her mid-thigh, her hands held together shyly in front. The setting is a bright, sunlit room with clean off-white walls and soft diffuse morning light. The gentle illumination cleanly defines the muscular contours of his shoulders and the soft cotton folds of her shirt, fully emphasizing their dramatic height and size difference. Captured on a 50mm portrait prime at f/2.2 with creamy optical falloff and fine 35mm film grain in an M1 narrative register. Authentic human skin with fine pores, biological warmth, realistic muscle definition, and crisp fabric drape — cinematic frame, strictly no CGI, no 3D render, no plastic skin, no artificial smoothing.