Tax teams spent weeks sifting through thousands of pages. GenAI now summarizes the technical notes in hours.
A global semiconductor company whose processors and GPUs are relied on daily by billions of people and leading Fortune 500 businesses, using its own AI compute hardware internally to test and validate products before release.
Administrative and compliance work, including R&D tax documentation, required sifting through thousands of pages of technical notes and took weeks to...
“We showcase AI applications and provide an AI adoption model other companies can follow.”
AMD is a technology company that specializes in designing and manufacturing semiconductors, processors, and graphic cards.
Note — AMD is also the vendor behind this implementation.
AMD's Workforce productivity is part of this use case:
Related implementations across industries and use cases
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Reviewing 2,500 NDAs bottlenecked a small legal team. Now, AI handles first-pass markups and instantly retrieves clauses for lawyers.
Junior analysts relied on senior staff for complex investigations. Now, they use AI to query telemetry and resolve incidents independently.
Rebuilding client context bottlenecked tax teams for weeks. Now, custom AI agents evaluate returns, empowering staff to finish in one day.
Auditors spent six hours manually preparing each review. Models now validate evidence, freeing experts to focus on analysis.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Tax teams spent weeks sifting through thousands of pages. GenAI now summarizes the technical notes in hours.
A global semiconductor company whose processors and GPUs are relied on daily by billions of people and leading Fortune 500 businesses, using its own AI compute hardware internally to test and validate products before release.
Administrative and compliance work, including R&D tax documentation, required sifting through thousands of pages of technical notes and took weeks to...
“We showcase AI applications and provide an AI adoption model other companies can follow.”
AMD is a technology company that specializes in designing and manufacturing semiconductors, processors, and graphic cards.
Note — AMD is also the vendor behind this implementation.
AMD's Workforce productivity is part of this use case:
Related implementations across industries and use cases
Massive models exceeded server memory. An AI factory now powers agents that write code and turn design flowcharts into specs.
Reviewing 2,500 NDAs bottlenecked a small legal team. Now, AI handles first-pass markups and instantly retrieves clauses for lawyers.
Junior analysts relied on senior staff for complex investigations. Now, they use AI to query telemetry and resolve incidents independently.
Rebuilding client context bottlenecked tax teams for weeks. Now, custom AI agents evaluate returns, empowering staff to finish in one day.
Auditors spent six hours manually preparing each review. Models now validate evidence, freeing experts to focus on analysis.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.