paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 27d ago
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models
The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robot embodiments, and task objectives. Existing compute services, whether offered as direct accelerator rental or batch-workload submission, typically allocate an exclusive set of GPU and CPU resources to a single tenant. While this paradigm maximizes client flexibility, it burdens users with infrastructure adaptation, and the fixed card-hour accounting model renders short or bursty workloads both expensive for tenants and inefficient for the service provider. To address these challenges,
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%Claude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in Azure →
- PossiblePossibly related (embedding) · 57%How Outpost VFX Uses AWS to Accelerate AI Model Training for Visual Effects →
- PossiblePossibly related (embedding) · 57%NVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout →
- PossiblePossibly related (embedding) · 56%NVIDIA Unlocks AI Compute at Scale, Inviting Capital Partners to Power the AI Infrastructure Buildout →
- PossiblePossibly related (embedding) · 52%Top Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop →
- FuzzyOverlapping authors or contributors · 78%sgl-project/sglang →
“Shared author/contributor keys: luo, zhou”
- FuzzyOverlapping authors or contributors · 62%google-research/google-research →
“Shared author/contributor keys: sun”
- FuzzyOverlapping authors or contributors · 62%mudler/LocalAI →
“Shared author/contributor keys: guo”
Covers
newsClaude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in AzurenewsHow Outpost VFX Uses AWS to Accelerate AI Model Training for Visual EffectsnewsNVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure BuildoutnewsNVIDIA Unlocks AI Compute at Scale, Inviting Capital Partners to Power the AI Infrastructure BuildoutnewsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop
Implements (incoming)
authored (incoming)
personXiaolong XiangpersonHaoran SunpersonWentao ZhangpersonJunyang HuapersonHedan YangpersonYongjian GuopersonYifei ZhangpersonMingxi LuopersonJing LongpersonBingchen ZhaopersonYuchen ZhoupersonWanting XupersonQiming YangpersonQihui ZhangpersonSongsong WangpersonXiaodong BaipersonShuai DipersonXu ChupersonXiaotie DengpersonYicheng GongpersonJunwu Xiong
Covers (incoming)
newsMicrosoft will deploy AMD’s Helios rack-scale AI accelerator ‘at scale’ on Azure – Radeon Instinct MI455X and Epyc Venice power will be available through Redmond’s cloud infrastructure - Tom's HardwarenewsIn December 2025, startup Starcloud trained the first large language model ever trained in orbit, using an NVIDIA H100 — the same class of GPU built for Earth's AI data centres, now running roughly 500 kilometres above the planet. - ScienceBlog.com
Related across the graph
personJing Longrepomudler/LocalAIpersonXiaotie DengnewsMicrosoft will deploy AMD’s Helios rack-scale AI accelerator ‘at scale’ on Azure – Radeon Instinct MI455X and Epyc Venice power will be available through Redmond’s cloud infrastructure - Tom's HardwarenewsIn December 2025, startup Starcloud trained the first large language model ever trained in orbit, using an NVIDIA H100 — the same class of GPU built for Earth's AI data centres, now running roughly 500 kilometres above the planet. - ScienceBlog.compersonMingxi Luoreporay-project/raypersonYongjian GuonewsClaude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in AzurenewsNVIDIA Unlocks AI Compute at Scale, Inviting Capital Partners to Power the AI Infrastructure BuildoutpersonXiaodong BaipersonJunwu XiongpersonQihui Zhangrepobytedance/deer-flowpersonSongsong WangpersonXiaolong XiangpersonXu ChupersonBingchen Zhaoreposgl-project/sglangpersonHedan YangpersonWanting XupersonYuchen ZhoupersonQiming YangpersonShuai DinewsNVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure BuildoutpersonYicheng GongpersonYifei ZhangpersonWentao ZhangnewsHow Outpost VFX Uses AWS to Accelerate AI Model Training for Visual EffectspersonHaoran Sunrepogoogle-research/google-researchpersonJunyang HuanewsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop