AMD Launches Local AI Coding Platform Instinct Coder 355 with 98% Frontier Model Performance

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AMD launched the Instinct Coder 355, a local AI coding platform supporting GLM-5.3 inference with 98% of the performance of top models. The system includes 8 MI355X accelerators, 2 EPYC 9575F processors, 3TB of DDR5-6400 memory, and 63.36TB of SSD storage. Designed for on-premise use, it keeps data and computation local by default, supporting up to 85 developers per node. This AI + crypto news update highlights hardware advancements amid ongoing inflation data trends.
AMD has launched the local programming platform Instinct Coder 355; eight MI355X accelerators enable local inference performance approaching 98% of state-of-the-art models, with no internet connection required by default and data kept locally.

Author and source: AIBase

AMD is bringing large models back from the cloud to the data center, targeting enterprise developers. On November 9 local time, AMD partnered with Spectro Cloud to launch the enterprise-grade AI-assisted coding platform, Instinct Coder 355, which can run GLM-5.3 inference locally and reportedly achieves 98% of the performance of state-of-the-art models.

Eight cards power a programming server

The system’s power lies in its robust hardware configuration: it features eight AMD Instinct MI355X accelerators, two 64-core EPYC 9575F "Zen 5" processors, 3TB of DDR5-6400 memory, and a total of 63.36TB of solid-state storage. Dell and Supermicro offer different fully configured system options, allowing enterprises to choose based on their data center preferences. A single node can support up to 85 developers, with 50 able to code simultaneously—effectively packing the computing needs of an entire small team into one chassis.

Not connected by default; data remains local.

What truly excites enterprises is the "no outbound" setup. Spectro Cloud pairs this system with PaletteAI Inference Launchpad management software, which by default leverages local compute power instead of cloud APIs, ensuring sensitive code and data never leave the premises. Under mounting pressure from cost and compliance concerns, relocating inference back to on-premises data centers has become a new strategic focus for major corporations—AMD’s move clearly aims to carve out a share of the market traditionally dominated by NVIDIA and cloud providers.

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