The Tech Tribune staff has compiled the very best tech startups in Santa Clara, California. In doing our research, we considered several factors including but not limited to: revenue potential, leadership team, brand/product traction, and competitive landscape. Additionally, all companies must be independent (unacquired), privately owned, at most 10 years old, and have received at least one round of funding in order to qualify.
Modern data centers are upending the benefits of hyperconverged infrastructure (HCI). Composable disaggregated infrastructure (CDI) is gaining traction but is not realizing its full potential due to bottlenecks in the critical path to and from the network. Fungible democratizes CDI through the invention of the Fungible DPU, realizing the holy grail of Fungible Data Centers.
Fungible’s composable storage includes FS1600 block storage server and Fungible Composer management backplane. Fungible offloads data services to its FS1 Data Processing Unit.
Powered by the Fungible Data Processing Unit (DPU), the Storage Cluster is a high performance, secure, scale-out, disaggregated data storage platform, delivering 15 million IO/s in a 2RU form factor, scaling linearly to 300 million IO/s in a single 40RU rack, and extending further to many racks.
Fungible, the chip startup that says its aim is to put smaller cloud providers on a more equal hardware footing with the likes of Amazon Web Services, has launched its first storage system for data centers, powered by its processors.
Join Fungible CEO Pradeep Sindhu and Bill Kleyman as they discuss how the new Fungible DPU is revolutionizing data centers with a 10X performance increase.
Let us take a look at the Fungible DPU-based storage cluster and the FS1600 DPU-storage node to see why this is something to get excited about.
Fungible aims to make high-performance disaggregated storage attainable for data centers of any size with the launch of the Fungible Storage Cluster, the first in a series of data-centric platforms planned by the company.
Fungible Inc. has launched an FS1600 storage appliance driven by its DPU microprocessor in the next step in its quest to achieve composable data centre domination.
The new Fungible Storage Cluster delivers 15M IOPS in a 2RU form factor, scaling linearly to 300M IOPS in a single 40RU rack, and extending further to many racks. The company says its high-performance design improves $/IOPS by at least 3x compared to existing software-defined storage solutions by consolidating workloads and increasing utilization of storage media.
The startups says its new DPU chips execute data intensive wokloads 10 times faster than CPUs and offers a threefold reduction in total cost of ownership.
In this video, Pradeep Sindhu, Co-Founder and CEO of Fungible, shares observations about scale-out data centers and the key innovations of Fungible’s Data Processing Unit (Fungible DPU™) which has been positioned as the “third socket” in data centers, complementing the CPU and GPU.
The idea of a data-centric era is a message many companies are using these days. For example, the Intel Data-Centric Innovation Summit happened on August 8, 2018 (8 is a lucky number in Chinese influenced cultures.) Pradeep’s view is of servers that are hyper-disaggregated. The view is that there are x86 compute servers, GPU servers, SSD servers, and HDD servers. In any event, these fundamental scale-out server types are designed for a common purpose: to make their most valuable resource available on the network. As that is the goal, the Fungible DPU can serve as the common endpoint.
Fungible today at Hot Chips 2020 announced a new class of microprocessor it calls the Fungible data processing unit (DPU), which won endorsements from Alibaba Cloud, Juniper Networks, and Samsung Electronics.
Optimized for data interchange and data-centric computations, delivers performance, footprint and cost efficiencies for next gen scale-out networking, storage, security and analytics platforms.
Fungible, a California composable systems startup, claims its technology will save $67 out of every $100 of data centre total cost of ownership on network, compute and storage resources. The company this week launched its first product, a data processing unit (DPU) that functions as a super-smart network interface card. Its ambitions are sky-high, namely to front-end every system resource with its DPU microprocessors, offloading security and storage functions from server CPUs.
Well-funded startup Fungible is coming out of stealth with what it calls a data processing unit along with a software stack that will power storage appliances.
Fungible launched today with two versions of its data processing unit (DPU) microprocessors: one for storage systems and one for networking servers. The vendor also developed a TrueFabric network and storage software stack. Founder and CEO Pradeep Sindhu said Fungible will deliver complete storage systems built around its DPUs and TrueFabric by the end of 2020.
Neither Ray nor Keith has met Pradeep before, but Ray was very interested in Fungible’s technology. Turns out Pradeep Sindhu, CEO and Co-founder, Fungible has had a long and varied career in the industry starting at Xerox Parc, then co-founding and becoming chief scientist at Juniper, and now reachitecting the data center with Fungible.
CPUs are being asked to do more than ever, including supporting storage-related tasks, which is why a special purpose CPU may be in your storage future.
Current metrics used to compare the performance of storage systems are inadequate. The industry needs a new storage performance metric that is fair, broadly applicable and intuitive. In this article, Dr. Menon introduces the performance efficiency percentage (PEP). It overcomes current limitations and is applicable to both scale-up and scale-out.
Fungible Inc, a US composable systems startup, wants to front-end every system resource with its DPU microprocessors, offloading security and storage functions from server CPUs.
A new type of storage system is emerging that’s being targeted at cloud data centers. They are being designed to scale out, support NVMe-oF protocols with remote storage as fast as local storage, provide high-performance networked erasure coding, and support volumes with flexible durability.
Today’s CPUs are 30 times slower than I/O. The core problem is that servers are compute-centric while applications are becoming data-centric. Ready to liberate your data center with an architecture designed for data-centric workloads?