$42.1 million poured into startup offering energy-efficient solutions for costly and unwieldy operational data and AI workloads

Hiperscale data warehouse seller Overtime Today, it declared $ 42.1 million to accelerate the development of the Bahibi and accelerate energy efficient solutions and energy efficient solutions for the AI ​​workload.

The financing infusion does not only add to the chicago’s beginning to the grave warfare; Hyperscale analytics is a mission to analytically, cheaper and greenery is afraid of energy bills of the energy from the root of the balloon.

The new tour increases the company’s total financing to $ 159.4 million. Managed by climate fugitives such as the latest round The blue bear capital and Allstate Strategic Enterprises – Investors now view the information platform effective as a performance as a performance.

OCIENT CEO Chris Gladwin told VentureBeat that OCIENT architecture is already on many petabyte workloads “On-one Price Performance Gains” and this advantage continues to prepare for the new shapes from car telemetry to climate modeling. There is a start doubled their revenue For three consecutive years and in the company of a space infrastructure company, the CFO Space Infrastructure Firm, managing the main operations, noting that Ocent entered the formal growth stage.

A funding round within the climate economy

Overlapping $ 42.1 million In March 2024, $ 49.4 million increased He raised OCIENT capital to $ 119 million, and 109% annual income growth. With her New investorsThe company supports Grerycroft and OCA institutions that support the expansion capacity for “energy efficient analysts to deliver analysts. Gladwin Tour closed a wider mission: “Enterprises said,” the pressures to manage the costs when there are complex data ecosystems, energy availability and business costs, “he said.

Why hyperscale analytics hits a wall

Modern data warehouses are developing when the database is measured in terabytees. In addition, network and storage i / o be turn grayNot raw cpu periods. Gladwin said to Venturebeat: “When the dates get bigger, flow from the warehouse to the processing units into a real restrictive factor.”

TELKO, advertising technology and government placements, survey engines should scan the trillions while receiving the accepting streams. These expenses increase the layer of enterprises on each other even more as an AI and the location workload.

Inside OCIENT Architecture

The NVME SSDs flew the cloud pattern by calculating the NVME SSDs Accounting-Adjacent Storage Architecture (Casa). The company co-founder Joe Jablonski explains that this design can be “execution of trillions per second” in the commodity gear.

To complete again MegalanaAs favorite to put Gladwin, a large inner piece of high bandwidth that keeps “a million parallel tasks one million parallel tasks”. Conclusion: OCIENT SQL and machine learning (ML) earns between 3x and 300x between 3,000 and 300X, 3x and 300X – the acceptance of “zero-copies”, etl, ad-hoc SQL and ML in the same database without applying to separate systems.

Only the cost, not a cutting power

Efficiency is a new competitive weapon. OCIENT’s herself work The 170 nodes of the nodes show a telco stack with a telco stack and 12 kWh, which does up to 12 kWh, a Miras Telco stack with up to 12 kW – 90 percent reduction of power, value and traces. The company has increased twice by confirming the fourth generation program Amd epyc Processors that deliver 3.5 times more processing power, increasing a rack memory transmission by reducing more kilowatt-hours per inquiry.

Gladwin frames opens: “Energy requirements are accelerated in data centers; not supply. Efficiency is not optional.” This message, $ 200 million climate fund, resonates with investors as a blue bear targeting machine intelligence solutions for energy-hunting infrastructure.

Market traction and new boundaries

OCIENT Customer base telecommunications operators, exploration agencies, ad-technological exchanges and fintech firms processing high-level trade data. This year the company sent it The solution of solutions firstOCIENT Data detention and disclosure system meets the requirements of legitimate and low energy use on telecom providers.

Gladwin will come from the car sensor of the next growth wave and the car sensor in which the current workflows trust in the supercomputers; OCIENT Architecture This expenses allow at least 75% to provide more frequent risk analysis for insurers and agribusiness.

Compete on the hyperscale step

OCIENT itself does not occur as a generative-AI database. Gladwin claims that this niche is already numerous companies in this tab and the ocient’s sweet point is a highly volume, structured analytical. Again, the warehouse keeps vectors with internal line-algebraic functions and has a similarity index on the road map. Against cloud leaders like Snowflake and Databricks, OCIENT’s sales point, scale and compatibility remote storage architecture is very slow or very expensive architecture. Industrial analysts, threshold, usually say that several hundred terabytes are seen in the north, but Telco workloads are often often reached so far due to continuous data adoption.

Flexible placement

A reason that government and telko deals are a reasonable option. Platform is sent as programs in places in places as a service managed in public clouds or company OcientCloud. Information-sovereign rules are important when you prohibit external saas or when customers want to approach radio access networks.

What is the next

OCIENT says Fresh capital It will accelerate its efforts and invest in engineering headlines and compliance with joint programs.

“The future growth will still have no one’s mind.” If OCIENT, Petrabyte turns the headaches, both sheets and turns to the sub-second answers, can re-determine what the CASA says a decade-long bet “EU age”.