Inferact
What changed, and what is the evidence.
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🗞️ Pulse first · 3 news posts
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What changed, and what is the evidence.
Oct 21, 2026 · Post · posted
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Three teams in one month have pushed LLM decode forward with megakernels: Inferact on Google TPUs, AMD with TileRT and FlyDSL, and now NVIDIA on GB300, now live on InferenceX. We're excited to see these gains and dig into the engineering… |
BREAKING NEWS🚨: @Inferact & Google submit their FIRST preliminary TPUv7 Kimi K3 2.8T Model Submission, and it is already delivering strong perf per TCO against GB200 NVL72, B300, and MI355 in the ultra-high-interactivity regime due to… |
TOKENMAXXING: @vllm_project and @inferact achieve 1.3 BILLION tokens per $ of TCO (hyperscaler volume pricing) via disaggregated serving on AgentX. This result is 4x better than the B300 aggregated configuration. https://t.co/jVevqcSNiG |
ALERT🚨🚨: @vllm_project, @Inferact & NVIDIA TOOK CO-DESIGN TO THE EXTREME WITH A GB300 NVL72 INFERENCE OPTIMIZATION TO GET 🚀 7.2x 🚀 BETTER PERF PER TCO THAN LITERALLY EVERY OTHER AI CHIP, using an inference co-design optimization called… |
Many Google TPU customers are already asking Google for SemiAnalysis AgentX performance results, as customers are saying that it is a representative workload of their agentic inference traffic. We are excited to announce that we are… |
On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! Amazing work by the NVIDIA & Inferact teams! In comparison, AMD vLLM still does not work… |
Spec Decoding (DSpark) finally works with Pipeline Parallelism in vLLM!! 🔥 A lot of the GPU poor/proletarian have been asking for this feature for a while now, but it took the recent Kimi K3's massive 2.8T parameters affecting the GPU… |