MayaScale vs. SF Compute Comparison


MayaScale ZettaLane Systems	SF Compute	+	+
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About Build powerful NVMe over Fabrics high-performance shared storage solution with MayaScale. Consolidate direct attached NVMe resources into shared storage pool and provision flexible NVMe namespaces to clients demanding high performance with low latency. When finished the clients can return NVMe storage space back to storage pool. No more over-provisioning or stranded NVMe storage space as is the case with Direct Attached storage. This network agnostic solution uses RDMA for on-premises and standard TCP on cloud. True NVMe device is visible to client using standard NVMe driver stack without need for any proprietary driver extensions. Configure and deploy NVMe over Fabrics SAN infrastructure at rack scale in your data center by pooling heterogeneous NVMe devices over RDMA capable interconnect. This includes ROCE, iWARP or Infiniband. Even on public Cloud, experience NVMe over Fabrics using the standard TCP/IP protocol without need for any specialized RDMA hardware or SRIOV virtualization.	About SF Compute is a marketplace platform that offers on-demand access to large-scale GPU clusters, letting users rent powerful compute resources by the hour, not requiring long-term contracts or heavy upfront commitments. You can choose between virtual machine nodes or Kubernetes clusters (with InfiniBand support for high-speed interconnects), and specify the number of GPUs, duration, and start time as needed. It supports flexible “buy blocks” of compute; for example, you might request 256 NVIDIA H100 GPUs for three days at a capped hourly rate, or scale down/up dynamically depending on budget. For Kubernetes clusters, spin-up times are fast (about 0.5 seconds); VMs take around 5 minutes. Storage is robust, including 1.5+ TB NVMe and 1 TB + RAM, and there are no data transfer (ingress/egress) fees, so you don’t pay to move data. SF Compute’s architecture abstracts physical infrastructure behind a real-time spot-market and dynamic scheduler.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Enterprises looking for a solution to build NVMe and consolidate direct attached NVMe resources into a shared storage pool	Audience AI developers, researchers, or startups looking for a tool for training large models or heavy inference
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing $1.48 per hour Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information ZettaLane Systems Founded: 2018 www.zettalane.com/maya-nvmeof-linux-rdma-tcp.html	Company Information SF Compute United States sfcompute.com
Alternatives NVMesh Excelero	Alternatives OneSource Cloud
xiRAID Xinnor	Nebius
NVIDIA DOCA NVIDIA	IREN Cloud IREN
StorPool Storage StorPool	Charg
Vexata View All	Voltage Park View All
Categories Block Storage Supported	Categories AI Infrastructure Supported Cloud GPU Supported

Integrations AWS Marketplace Supported Amazon Supported Amazon RDS Supported Google Cloud Platform Supported Kubernetes Not Supported Liquid AI Not Supported Microsoft Azure Supported MongoDB Supported MySQL Workbench Supported NVIDIA virtual GPU Not Supported Oracle Cloud Infrastructure FastConnect Supported Phind Not Supported Red Hat CloudForms Supported VMware Cloud Not Supported Show More Integrations View All 9 Integrations	Integrations AWS Marketplace Not Supported Amazon Not Supported Amazon RDS Not Supported Google Cloud Platform Not Supported Kubernetes Supported Liquid AI Supported Microsoft Azure Not Supported MongoDB Not Supported MySQL Workbench Not Supported NVIDIA virtual GPU Supported Oracle Cloud Infrastructure FastConnect Not Supported Phind Supported Red Hat CloudForms Not Supported VMware Cloud Supported Show More Integrations View All 5 Integrations
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