Neureality Ltd.

Lior Khermosh

Udi Sivan

Moshe Tanach

Yossi Kasus

Amit Radzi

A method and system for communicating artificial intelligence (AI) tasks between AI resources are provided. The method includes establishing a connection between a first AI resource and a second AI resource; encapsulating a request to process an AI task in at least one request data frame compliant with a communication protocol, wherein the at least one request data frame is encapsulated at the first AI resource; transporting the at least one request data frame over a network using a transport protocol to the second AI resource, wherein the transport protocol is different than the communication protocol; and using a credit-based flow control mechanism to transfer messages between the first AI resource and the second AI resource over the transport protocol, thereby avoiding congestion on compute resources.

Communication protocol, and a method thereof for accelerating artificial intelligence processing tasks

A method and system for data transport of artificial intelligence (AI) tasks between AI resources are provided. The method includes establishing a connection between an AI client and an AI server with a storage element capabilities; encapsulating a request to process an AI task in a command capsule compliant with a storage data transfer protocol, wherein the command capsule is encapsulated at the AI client; and transporting the command capsule to an AI server over a transport link using the storage data transfer protocol.

Communication protocol for accelerating artificial intelligence processing tasks over non-volatile memory express protocol

A sequencer and method for batching execution of artificial intelligence (AI) jobs. A method includes receiving, by a plurality of AI servers, a plurality of AI jobs from a plurality of clients connected to the plurality of AI servers over a network, determining a first group of AI jobs from the plurality of AI jobs that are candidates for batching, batching the first group of AI jobs based on least one service parameter, and sending, for execution, the batch of first group AI jobs to a plurality of first compute engines reside in different AI servers of the plurality of AI servers.

Batching of artificial intelligence jobs

A method and system for communicating artificial intelligence (AI) tasks for a server chaining are presented. The method includes establishing a first connection between an AI client and a first AI server; encapsulating a request to process an AI task in at least one request data frame compliant with a communication protocol; and transporting the at least one request data frame over a network using a transport protocol over the first connection to the first AI server, wherein the first AI server spans the AI task over at least one second AI server, wherein the transport protocol provisions transport characteristics of the AI task and the transport protocol is different than the communication protocol, wherein AI task includes processing of a single compute graph thereby allow spanning the processing of the compute graph over one more AI servers.

A method and server for batching execution of artificial inelegance (AI) jobs are provided. The method includes receiving, by an AI server, a plurality of AI jobs from a plurality of clients connected to an AI appliance over a network; for each AI job of the plurality of AI jobs: deriving at least one attribute of the received AI job; determining based on the at least one AI job attribute and at least one batching parameter if the received AI job is a candidate for batching; aggregating the received AI job into a created batch when the received AI job is determined to be a candidate for batching; continuing aggregating newly received AI jobs determined to be candidates for batching in the created batch until at least one service parameter is met; and sending the batch of AI jobs to a compute engine dedicated to executing the batch.

A system and method for communicating artificial intelligence (AI) tasks between AI resources are provided. The method comprises establishing a connection between a first AI resource and a second AI resource; encapsulating a request to process an AI task in at least one request data frame compliant with a communication protocol, wherein the at least one request data frame is encapsulated at the first AI resource; and transporting the at least one request data frame over a network using a transport protocol to the second AI resource, wherein the transport protocol provisions the transport characteristics of the AI task, and wherein the transport protocol is different than the communication protocol.

Growing community of inventors

Givatayim, Israel

Lior Khermosh