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A collection of 139 posts

NVIDIA SkillSpector Treats Agent Skills Like Supply-Chain Artifacts

NVIDIA SkillSpector Treats Agent Skills Like Supply-Chain Artifacts

Agent skills are starting to look less like helpful prompt folders and more like dependencies with a fake mustache. NVIDIA’s SkillSpector, updated today in its public GitHub repository, is useful precisely because it names the thing most coding-agent stacks have been politely avoiding: when you install a skill into

NVIDIA’s New MoE Kernels Are a Reminder That AI Cost Gets Won in the Epilogue

NVIDIA’s New MoE Kernels Are a Reminder That AI Cost Gets Won in the Epilogue

AI cost does not only get decided in model architecture diagrams. It gets decided in the epilogue of a grouped GEMM, in whether quantization causes another memory pass, and in whether the CPU is still being asked to schedule dynamic expert work while thousands of GPUs wait politely. Not the

BioNeMo LoRA Makes Billion-Parameter Biology Models Feel Less Like a Cluster Reservation

BioNeMo LoRA Makes Billion-Parameter Biology Models Feel Less Like a Cluster Reservation

Biology foundation models have had the same problem as every other foundation model category, only with more lab coats involved: the demos are impressive, the checkpoints are huge, and the moment a team needs to adapt one to its own assay or organism, the workflow starts looking like a cluster

World-Action Models Are NVIDIA’s Practical Bet on Robots That Can Predict Consequences

World-Action Models Are NVIDIA’s Practical Bet on Robots That Can Predict Consequences

Robotics does not need another demo reel where a robot delicately moves one object in a lab while everyone pretends the lighting, table height, object geometry, and recovery behavior are minor details. It needs models that understand consequences. NVIDIA’s new deep dive on World-Action Models is useful because it

MiniMax M3 on NVIDIA Is a Long-Context Infrastructure Test, Not a Prompt-Box Flex

MiniMax M3 on NVIDIA Is a Long-Context Infrastructure Test, Not a Prompt-Box Flex

The least interesting thing about MiniMax M3 is that it has a 1M-token context window. Giant context windows are now the AI industry’s favorite spec-sheet flex: impressive, expensive, and frequently misused. The more interesting story is that NVIDIA is treating MiniMax M3 as an infrastructure problem instead of a

AgentPerf Is the Coding-Agent Benchmark NVIDIA Needed — and the Warning Label Agent Infrastructure Deserves

AgentPerf Is the Coding-Agent Benchmark NVIDIA Needed — and the Warning Label Agent Infrastructure Deserves

Coding agents are no longer a chatbot feature with a shell bolted on. They are a strange, expensive inference workload: long prompts, growing context, repeated turns, tool-call gaps, cache reuse, and enough concurrency to make tail latency matter more than the happy-path demo. That is why NVIDIA’s AgentPerf result

Apple Putting Private Cloud Compute on NVIDIA GPUs Is the Privacy Story Builders Should Study

Apple Putting Private Cloud Compute on NVIDIA GPUs Is the Privacy Story Builders Should Study

Apple did something unusual this week: it made NVIDIA GPUs part of a privacy story instead of a performance story. That is not the usual role for NVIDIA in AI infrastructure coverage. The default script is simple enough: larger model, faster chip, bigger cluster, lower latency, higher throughput. This announcement

Halos OS Is NVIDIA’s Argument That Robotaxi Safety Needs a Stack, Not a Slogan

Halos OS Is NVIDIA’s Argument That Robotaxi Safety Needs a Stack, Not a Slogan

NVIDIA’s Halos OS announcement is not really about robotaxis. It is about what happens when autonomous-driving demos have to become boring enough for regulators, insurers, cities, fleet operators, and passengers to trust them. That distinction matters. The robotaxi industry has spent years selling capability: better perception, smoother planning, more