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AMAX ENGINEERING CORPORATION
Doing business as AMAX ENGINEERING CORP
FREMONT, CA, 94539
UnclaimedClaim this profile (free)
Minority Owned
Subcontracting experience
18 records from government sources. Past participation is not evidence of current teaming interest.
| Role | Agency | Description | Vehicle | Obligated | Action date | Period |
|---|---|---|---|---|---|---|
| Subcontractor | Department of Defense | COMPUTER EQUIPMENT (PA 700F) A000848700 Parent award context Parent award agency: Department of Defense · Department of the Air Force Parent award NAICS: 541715 Parent award performance state: FL Parent award description: COUNTER COMMUNICATIONS SYSTEMS MEADOWLAND PRODUCTION View parent award on USAspending | — | $167,962 | Jun 30, 2025 | — – — |
| Subcontractor | Department of Defense | COMPUTER 23-0028646 Parent award context Parent award agency: Department of Defense · Defense Advanced Research Projects Agency Parent award NAICS: 541715 Parent award performance state: CT Parent award description: ADVANCED PROPULSOR, EXPERIMENTAL (APEX) - PHASE 1A View parent award on USAspending | — | $94,875 | May 25, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $280,436 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | AMAX€„¢S NEXT-GENERATION NVIDIA A100 TENSOR CORE GPU-ACCELERATED SERVER SYSTEMS BRING TOGETHER TRAINING, INFERENCE, AND ANALYTICS INTO A CONSOLIDATED SYSTEM POWERED BY NVIDIA A6000 TENSOR CORE GPUS. THESE SYSTEMS ACCOMMODATE THE STANDARD FULL-LENGTH, FULL-HEIGHT FORM FACTOR OF THE 250W PCIE 4.0 A6000 CARDS FOR HIGH-CAPACITY MULTI-INSTANCE BURSTABLE WORKLOADS IN A TWO- OR FOUR-RACK UNIT CHASSIS THAT ARE THE FOUNDATIONAL BUILDING BLOCKS FOR MODERN AI DATACENTERS. CLUSTER ANALYSIS (CLUSTERING) IS A NON-SUPERVISED METHOD OF MACHINE LEARNING. IT INVOLVES THE AUTOMATIC IDENTIFICATION OF NATURAL DATA GROUPS (THE CLUSTERS). AN UNSUPERVISED LEARNING METHOD IS ONE IN WHICH WE DRAW CONCLUSIONS FROM DATA SETS CONSISTING OF INPUT DATA WITHOUT LABELED ANSWERS. CLUSTERING TECHNIQUES ARE USED WHEN NO CLASSIFICATION SHOULD BE PREDEFINED, BUT THE DATA SHOULD BE DIVIDED INTO NATURAL GROUPS. THEY OFTEN REPRESENT THE FIRST STEP ON THE WAY TO UNDERSTANDING DATA SETS. 23P-0087 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541712 Parent award performance state: AL Parent award description: SYSTEM ENGINEERING TECHNICAL AND ASSISTANCE SERVICES (SETAS) SPACE AND CYBERSPACE SCIENCE AND TECHNOLOGY DEVELOPMENT SUPPORT View parent award on USAspending | GS00Q14OADS614USAspending | $0 | Jan 17, 2023 | — – — |
| Subcontractor | Department of Defense | SOFTWARE SERVERS A000682531 Parent award context Parent award agency: Department of Defense · Department of the Air Force Parent award NAICS: 541330 Parent award performance state: CO Parent award description: COMBAT MISSION SYSTEMS SUPPORT View parent award on USAspending | — | $111,014 | Aug 31, 2022 | — – — |
| Subcontractor | Department of Defense | 100927.10.100.V06C.120 1162005 Parent award context Parent award agency: Department of Defense · Department of the Army Parent award NAICS: 541715 Parent award performance state: VA Parent award description: FUNDING IAW FAR 52.232-22, "LIMITATION OF FUNDS" FOR PROJECTS CITED IN SECTION B. View parent award on USAspending | W56KGU18D0004USAspending | $137,685 | Jun 15, 2022 | — – — |
| Subcontractor | Department of Defense | SERVER - COMPUTER HW KRYH12A AMAX AX10000-100; IF SER
SERVER - COMPUTER HW KRYH21A RAYTHEON ONR OG GPU SERVER 4202607391 Parent award context Parent award agency: Department of Defense · Department of the Navy Parent award NAICS: 541715 Parent award performance state: TX Parent award description: NAVAL SURVEILLANCE APPLICATION UPGRADE View parent award on USAspending | — | $486,533 | May 12, 2022 | — – — |
| Subcontractor | Department of Defense | SERVER - COMPUTER HW. 4202607391 Parent award context Parent award agency: Department of Defense · Department of the Navy Parent award NAICS: 541715 Parent award performance state: TX Parent award description: NAVAL SURVEILLANCE APPLICATION UPGRADE View parent award on USAspending | — | $488,133 | May 12, 2022 | — – — |
| Subcontractor | Department of Defense | ENGINEERING SERVICES AND MATERIALS A000662049 Parent award context Parent award agency: Department of Defense · Department of the Air Force Parent award NAICS: 541330 Parent award performance state: CO Parent award description: COMBAT MISSION SYSTEMS SUPPORT View parent award on USAspending | — | $89,683 | Apr 13, 2022 | — – — |
| Subcontractor | Department of Defense | SERVERS AND SOFTWARE A000653668 Parent award context Parent award agency: Department of Defense · Department of the Air Force Parent award NAICS: 541330 Parent award performance state: CO Parent award description: COMBAT MISSION SYSTEMS SUPPORT View parent award on USAspending | — | $59,979 | Feb 28, 2022 | — – — |
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