OPEN LINK ↗
// 1h agoBENCHMARK RESULT
Infinity Doubles GB300 Inference Throughput
Infinity and HP report roughly 2× concurrent requests and token throughput for NVIDIA Nemotron 3 Super on HP’s GB300-powered ZGX Fury, without changing the hardware. The gain came from inference-stack optimization and was initially achieved in under 24 hours. [Source](https://whnstv.marketminute.com/article/bizwire-2026-10-20-infinity-and-hp-deliver-2x-performance-gains-on-nvidias-gb300-grace-blackwell-ultra-desktop-superchip)
// ANALYSIS
This is a strong reminder that AI infrastructure performance is increasingly a software problem, though the result remains a vendor-reported, workload-specific benchmark.
- –Optimization targeted concurrency and throughput while preserving the tested responsiveness threshold
- –Infinity combined techniques from vLLM, TensorRT-LLM, and SGLang with proprietary kernel work
- –The test used Nemotron 3 Super’s 120.6B workload on an existing GB300 configuration
- –Higher utilization could improve the economics of shared local inference for enterprises
- –Results may vary substantially across models, workloads, software versions, and hardware configurations
// TAGS
infinity-auto-researchinferencegpubenchmarkmlops
DISCOVERED
1h ago
2026-10-20
PUBLISHED
2h ago
2026-10-20
RELEVANCE
8/ 10
AUTHOR
RedCandleRx