Frontier-level models are now blowing past the trillion-parameter mark. And despite significant optimizations in inference, the urgent need for memory capacity is exploding with it. While small models continue to… Read More
Modern GPUs, whether they’re just sitting there idling or running hot during inference, cost enormous sums to keep them from melting into a puddle of lost throughput potential. Those GPUs — drawing more than a kilowatt… Read More
Agentic AI tools like Claude Code, Codex, and Cursor have fundamentally changed the way we approach software engineering. Rather than spending days or weeks on developing and managing software, the… Read More
When we launched seven years ago, we had one goal: to build the fastest and most scalable technology to power small-batch AI inference and interactive applications. Both of those have… Read More
Delivering high-quality AI-powered applications historically relied on massive models. That came with significant scaling limitations, as deploying models with more than 100B parameters and maximizing toke generation doesn’t scale up without losing latency… Read More
Delivering high-quality AI-powered applications historically relied on massive models. That came with significant scaling limitations, as deploying models with more than 100B parameters and maximizing toke generation doesn’t scale up without losing latency… Read More
The first cloud computing revolution triggered a tsunami-grade buildout for data centers—both for emerging hyperscalers like Amazon Web Services, and companies re-orienting their systems around cloud-based operations. At the time, we were… Read More
Today, some of the most prevalent AI-powered applications are highly interactive ones: coding companions, customer service chatbots, and others. While they all have different measures of success, they’re increasingly aligned on one… Read More
In the early days of transformers-based AI workloads, generation speed wasn’t that big of an issue. Users generally tolerated slower inference due to novelty, and serious use cases outside of… Read More
Time-to-first-token, or TTFT, has generally been one of many key performance indicators for AI-based applications. Consumer-facing chatbots, for example, might need it to be very low, while enterprise cases can… Read More
