[vc_row height=”auto” content_placement=”middle” css=”%7B%22default%22%3A%7B%22background-color%22%3A%22%23F3F4F5%22%2C%22padding-top%22%3A%22112px%22%2C%22padding-bottom%22%3A%22130px%22%7D%7D” el_class=”our-technology”][vc_column width=”3/5″][vc_custom_heading text=”OUR TECHNOLOGY” font_container=”tag:h5|text_align:left” use_theme_fonts=”yes” css=”%7B%22default%22%3A%7B%22color%22%3A%22%23010F0E%22%2C%22font-family%22%3A%22body%22%2C%22font-weight%22%3A%22700%22%2C%22font-size%22%3A%2220px%22%7D%7D”][vc_column_text css=”%7B%22default%22%3A%7B%22color%22%3A%22%23010F0E%22%2C%22font-family%22%3A%22Denim%20Light%22%2C%22font-weight%22%3A%22300%22%2C%22font-size%22%3A%2271px%22%2C%22line-height%22%3A%2271px%22%7D%2C%22laptops%22%3A%7B%22color%22%3A%22%23010F0E%22%2C%22font-family%22%3A%22Denim%20Light%22%2C%22font-weight%22%3A%22300%22%2C%22font-size%22%3A%2264px%22%2C%22line-height%22%3A%2264px%22%7D%2C%22tablets%22%3A%7B%22color%22%3A%22%23010F0E%22%2C%22font-family%22%3A%22Denim%20Light%22%2C%22font-weight%22%3A%22300%22%2C%22font-size%22%3A%2242px%22%2C%22line-height%22%3A%2242px%22%7D%2C%22mobiles%22%3A%7B%22color%22%3A%22%23010F0E%22%2C%22font-family%22%3A%22Denim%20Light%22%2C%22font-weight%22%3A%22300%22%2C%22font-size%22%3A%2236px%22%2C%22line-height%22%3A%2236px%22%7D%7D”]Machine Learning. Effortless.[/vc_column_text][/vc_column][vc_column width=”2/5″][vc_column_text css=”%7B%22default%22%3A%7B%22color%22%3A%22%23010F0E%22%2C%22font-size%22%3A%2218px%22%2C%22line-height%22%3A%2224px%22%2C%22padding-bottom%22%3A%2220px%22%7D%7D”]So you need to add ML to your product. Simple, right? Wrong. ML solutions weren’t purpose built for the embedded edge — everything you find is adapted for it. It’s like putting a square peg in a round hole. At SiMa.ai, we are simplifying the process of adding ML to your products by delivering the first software-centric purpose-built MLSoC™ platform with push-button performance for Effortless ML deployment and scaling at the embedded edge so you can get your products to market faster.[/vc_column_text][/vc_column][/vc_row][vc_row height=”auto” content_placement=”middle” css=”%7B%22default%22%3A%7B%22background-color%22%3A%22%23F3F4F5%22%2C%22padding-top%22%3A%2270px%22%2C%22padding-bottom%22%3A%2270px%22%7D%7D” el_class=”border-top who-we-are”][vc_column width=”1/1″][vc_custom_heading text=”Is Your ML Green?” font_container=”tag:h5|text_align:left” use_theme_fonts=”yes” css=”%7B%22default%22%3A%7B%22color%22%3A%22%232a9c4f%22%2C%22font-family%22%3A%22Denim%20SemiBold%22%2C%22font-weight%22%3A%22500%22%2C%22font-size%22%3A%2235px%22%7D%2C%22laptops%22%3A%7B%22color%22%3A%22%231a1a1a%22%2C%22font-weight%22%3A%22600%22%2C%22font-size%22%3A%2230px%22%7D%2C%22tablets%22%3A%7B%22color%22%3A%22%231a1a1a%22%2C%22font-weight%22%3A%22600%22%2C%22font-size%22%3A%2228px%22%7D%2C%22mobiles%22%3A%7B%22color%22%3A%22%231a1a1a%22%2C%22font-weight%22%3A%22600%22%2C%22font-size%22%3A%2226px%22%2C%22line-height%22%3A%2232px%22%7D%7D”][vc_column_text css=”%7B%22default%22%3A%7B%22color%22%3A%22%23010F0E%22%2C%22font-size%22%3A%2218px%22%2C%22line-height%22%3A%2224px%22%2C%22padding-bottom%22%3A%2220px%22%7D%7D”]
- SiMa.ai is the MLSoC leader in the MLPerf power efficiency category (closed power) for the edge.
- This peer reviewed result identifies SiMa.ai as a leader in efficient ML at the edge.
- Performing ML at the edge has significant power efficiencies over performing ML in the datacenter.
- The power consumption to transmit and store the data in the datacenter can exceed the power to perform the ML calculations in the cloud.
- This provides a multiplicative effect on the edge ML power efficiency ratings.