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Snowflake and Anthropic announced a multi-year, $200 million partnership expansion on December 3, 2025, aimed at bringing Anthropic’s Claude models deeper into Snowflake’s enterprise AI environment and jointly selling AI-agent solutions to businesses. The companies say Claude is available to Snowflake customers through Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure. The agreement is an enterprise software and go-to-market partnership—not a consumer product launch—and the announcements describe intended capabilities, not independent proof of broad customer results.
What the $200 million agreement covers
The agreement expands an existing relationship in which Snowflake customers were already using Claude through Snowflake Cortex AI. In their December 3, 2025 announcements, the companies described a multi-year commitment valued at $200 million and a joint global go-to-market effort focused on enterprise AI agents. Snowflake said Claude would be available to more than 12,600 of its customers across Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure. That is the customer population the announcement says could access the models, not a count of active Claude deployments.
Snowflake also said thousands of its customers were processing trillions of Claude tokens per month through Cortex AI at the time. That usage figure comes from the companies’ announcement; it is not an independently audited customer-level measure. Read the terms and product descriptions in Snowflake’s announcement and Anthropic’s announcement.
How Claude fits into Snowflake
Snowflake describes Claude as supporting Snowflake Intelligence, Cortex AI functions, and Cortex Agents. The proposed value is to let businesses apply Claude to enterprise data while working within Snowflake’s existing security and governance context. The companies position Horizon Catalog as part of the governance and responsible-AI controls. These are vendor descriptions of the architecture and intended safeguards; they should not be read as an independent certification or a universal guarantee that data never leaves a Snowflake boundary.
#1 Best Overall
- High-Performance AI Processor：The MS-02 Ultra features an Intel Core Ultra 9 285HX (24C/24T, up to 5.5 GHz, 13 TOPS NPU), delivering fast and efficient performance for AI inference, algorithm development, and media workloads. A PCIe x16 expansion slot supports desktop-class GPU upgrades for advanced model training and accelerated computing tasks. It's ideal for creators, engineers, and teams handling intensive parallel workloads.
- 4 × M.2 PCIe 4.0 + 4 × DDR5 SODIMM slots:Four DDR5 SODIMM slots support up to 256 GB of memory, while ECC helps maintain data integrity in mission-critical environments. Four PCIe 4.0 M.2 slots support up to 24 TB of storage, supporting RAID 0/1/5/10, combining high-speed performance with data protection. It allows for the creation of independent scratch disks, media libraries, and project drives, providing high-throughput for production workflows.
- PCIe & USB 4.0 v2: Up to three PCIe slots can be equipped, including a dual-slot x16 GPU. The main slot supports PCIe 5.0, meeting the needs of high-bandwidth creative and computing workloads. USB 4.0 v2 (80Gbps) supports high-bandwidth external storage and displays.
- Ultra-fast Networking: Wi-Fi 7 further enhances wireless performance with next-generation speeds and low-latency stability. Intelligent bandwidth switching optimizes throughput in different network environments, ensuring optimal performance for enterprise or local networks. Dual 25GbE ports (providing up to approximately 3.125 GB/s bandwidth, about 25 times faster than traditional 1GbE), enabling seamless large-scale file transfers and parallel computing. 10GbE and 2.5GbE ports, with support for Intel vPro technology, ensure enterprise-grade remote management and deployment flexibility.
- Server-grade thermal architecture: Utilizing a dedicated CPU/GPU airflow design, equipped with a 6-pipe dual-fan cooler, it maintains stable performance even under sustained loads, delivering up to 140W Turbo power while maintaining a 100W TDP, and operating with noise levels as low as 36 dB. An integrated 350W power supply ensures stable and reliable output for demanding computing tasks and fully loaded extended configurations.
Tasks the companies say it can support
- Natural-language analysis: Ask questions about structured and unstructured enterprise data and receive analysis in ordinary language.
- Multi-step work: Use agents to retrieve information and reason across enterprise data to support a workflow.
- Multimodal analysis: Work with text, images, and audio, according to the announcements.
- Development and business workflows: Apply Claude to coding, customer support, financial analysis, cybersecurity investigations, data applications, and sales intelligence.
In this context, “agentic AI” refers to systems intended to handle multiple steps and work across data-grounded tasks. It does not mean an agent can safely make every business decision or execute actions without human oversight. The releases describe capabilities and use cases, not a guarantee of autonomy or successful deployment for every customer.
What the customer and performance figures do—and do not—show
Anthropic reported greater than 90% accuracy on complex text-to-SQL tasks, citing Snowflake internal benchmarks. This is a company-reported result for a specific task and benchmark, not an independent evaluation, a general accuracy rate for enterprise agents, or a promise of production performance.
Snowflake’s June 1, 2026 update described further Claude adoption and co-innovation, naming Basis, Block, Carvana, eSentire, Indeed, and Notion among customers. It cited examples spanning customer support, financial analysis, life-sciences research, developer productivity, sales intelligence, and cybersecurity investigations. These are vendor-reported examples; the update does not establish independently measured outcomes across the partnership. See Snowflake’s June 1, 2026 update.
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Rank #3
- Professional AI & Creator Workstation: AMD Radeon AI PRO R9700 GPU with 32GB GDDR6 is engineered for AI development, professional content creation, and compute-intensive workloads.
- Massive 32GB Memory Capacity: 32GB of GDDR6 memory on a 256-bit bus provides ample bandwidth for large AI models, 8K video editing, and complex 3D rendering.
- Advanced RDNA 4 with AI Accelerators: 64 Compute Units with 3rd Gen Ray Tracing and dedicated 2nd Gen AI Accelerators for groundbreaking AI performance and visual computing.
- Professional Blower Cooling: Efficient single blower design exhausts heat directly out of the chassis, ideal for multi-GPU workstation and server configurations.
- Enterprise-Grade Thermal Solution: Vapor chamber heatsink with industrial Honeywell PTM7950 thermal interface material ensures reliable cooling under sustained professional loads.
What the partnership means for enterprise buyers
The announcements frame the partnership as a way to bring Claude’s reasoning capabilities closer to data already managed in Snowflake, while giving customers routes through the three named cloud platforms. The appropriate route and safeguards depend on a customer’s architecture, workload, and governance requirements; the announcements do not provide a comparative assessment of the cloud options.
For a buyer evaluating a use case, the practical questions are whether the specific task works reliably on the organization’s data, what controls govern model access and agent actions, and how results will be reviewed. The partnership announcements do not publish comparative pricing, latency, or independent accuracy data across Bedrock, Vertex AI, and Azure. They also do not demonstrate that every Snowflake customer has deployed agents in production.
Rank #4
- FAST RUNS IN THE FAMILY — The 16-inch MacBook Pro with the M5 Pro or M5 Max chip brings next-generation speed and powerful on-device AI to personal, professional, and creative tasks. With all-day battery life, double the starting storage,* and a breathtaking Liquid Retina XDR display, it’s pro in every way.*
- BUCKLE UP — Along with a next-generation CPU, faster unified memory, and up to 2x faster SSD storage,* M5 Pro and M5 Max feature a more powerful GPU with a Neural Accelerator built into each core, delivering faster AI performance and on-device training capabilities. So you can blaze through demanding workloads at mind-bending speeds.
- BUILT FOR AI — Apple silicon, and every major component that powers it, is designed to run demanding on-device AI workloads like LLM inference and training. And Apple Intelligence helps you write, express yourself, and get things done effortlessly with groundbreaking privacy protections at every step.*
- ALL-DAY BATTERY LIFE — MacBook Pro delivers the same exceptional performance whether it’s running on battery or plugged in.*
- MACOS RUNS APPS FAST — All your go-to apps run lightning fast in macOS, including built-in apps like FaceTime and Messages. Plus, built-in virus protection and free software updates help keep your Mac running smoothly and securely.
Bottom line on the announcement
The deal combines a stated $200 million multi-year commercial partnership with deeper Claude availability in Snowflake and a joint effort to bring enterprise AI agents to market. It signals the vendors’ direction and product ambitions. The public figures and customer examples are useful context, but they remain company-reported evidence rather than independent proof of broad performance or business impact.
Quick Recap
Best Value
- 【High-Performance APU】The MS-S1 MAX features an AMD Ryzen AI Max+ 395 APU, integrating a Zen 5 architecture CPU (up to 5.1GHz, 16C/32T, 64M L3 Cache), an RDNA 3.5 GPU, and an NPU (50 TOPS). The total system output is 126 TOPS. It provides powerful parallel computing capabilities for demanding AI workflows. It is ideal for running local LLMs, multimodal models, and computationally intensive tasks
- 【128GB UMA Memory】Equipped with up to 128GB of LPDDR5x-8000MT/s unified memory, it enables the CPU and GPU to access a shared, high-bandwidth memory pool with extremely low latency. Ideal for large-scale AI inference, 3D workloads, and complex timelines in video editing. It eliminates traditional VRAM bottlenecks, ensuring smoother data transfer during high-intensity computations. The UMA design maximizes performance stability under high loads
- 【Flexible Expansion】The MS-S1 MAX features USB4 V2 (up to 80Gbps), dual 10GbE LAN, HDMI 2.1 (up to 8K60), a full-length PCIe x16 expansion slot, and dual M.2 slots supporting up to 16TB RAID 0/1. Wi-Fi 7 provides stronger signal coverage and a more stable wireless experience. The slide-out design facilitates upgrades and maintenance. It easily adapts to personal, studio, or rack-mount enterprise environments
- 【High-Efficiency Cooling System】Utilizing an aerospace-grade aluminum alloy chassis, copper base plate, six heat pipes, dual turbine fans, and advanced PCM thermal conductive material, it maintains stable cooling performance even under continuous load. This system supports 130W continuous power and 160W peak power operation, with a built-in 320W power supply. It boasts multiple global certifications including CCC, FCC, UL, CE, and UKCA, ensuring stable and reliable operation in various environments
- 【Cluster Design】Two MS-S1 MAX units can be configured as a dual-unit cluster to run a large 235B Q4 model locally, achieving an output speed of 10.87 tok/s. Supporting 2U rack deployment, multiple MS-S1 MAX units can be cascaded into a distributed cluster to create a high-efficiency AI computing center. A cluster of four MS-S1 MAX units successfully ran a DeepSeek-R1 671B Q4 large model. A reserved cluster power-on interface allows for unified start-up and shutdown
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