VESSL Cloud
An AI infrastructure platform offering GPU workspaces, batch jobs, clusters, storage and inference services. · Infrastructure
What’s disclosed
VESSL Cloud lists Nebius as a compute sub-processor providing GPU/CPU compute for customer workloads. The applicable infrastructure provider depends on the region or cluster the customer selects.
VESSL AI also names Nebius among the cloud providers accessible through its platform.
Sources
2 sourcesVESSL AI official GitHub profile
Listed 26 Oct 2026 · GitHub · Web page
VESSL AI names Nebius among the cloud providers accessible through its GPU platform.
Open original sourceCompany context
vessl.aiVESSL Cloud is an AI infrastructure platform from VESSL AI, Inc., serving model developers, enterprise AI teams and academic researchers. It supplies GPU computing for model training, fine-tuning and inference. Its main products are Container Compute, with interactive workspaces and batch jobs; dedicated multi-node VM Clusters; shared Storage; and Provisioned Throughput for inference through OpenAI- and Anthropic-compatible APIs. Teams can start with on-demand GPUs and expand to reserved capacity and larger clusters while managing development and production workloads through one platform.
VESSL Cloud official websiteRecent updates
10 updatesVESSL signs GPU financing MOU with Korea Investment & Securities
VESSL signed an MOU with Korea Investment & Securities to support financing for GPU infrastructure expansion. The financial firm will support capital raising while VESSL handles technical operations, with amounts and structures to be determined by project.
NewsisVESSL discloses KRW 130 billion first-half revenue and expansion roadmap
At its strategy presentation, VESSL disclosed first-half 2026 revenue of KRW 130 billion and forecast full-year revenue of KRW 250 billion. It outlined plans for eight Korean AI data center hubs and 200,000 GPUs by 2030.
Yonhap News AgencyVESSL operates global inference for Upstage Solar Pro 4
VESSL announced that it operates global inference for Upstage's Solar Pro 4 using GPU servers in Korea, Europe and the United States. It reported average processing speeds doubled and per-token costs fell by up to half through caching and quantization.
VESSL AI