nvidia blackwell server contract with Super Micro Computer
The situation between Nvidia and Super Micro Computer (SMCI) regarding Blackwell server contracts is currently complex and challenging:
Current Status
Super Micro Computer is facing significant challenges with its Nvidia Blackwell GPU supply and business relationship. Nvidia has reportedly begun redirecting orders away from SMCI to more stable suppliers, impacting their partnership.
Technical Readiness
Despite the challenges, Super Micro claims to be technically prepared for Blackwell deployment:
- Their GB200 NVL72 system is ready
- Both air-cooled 10U B200 and liquid-cooled 4U systems are production-ready
Underlying Issues
Several factors are affecting the relationship:
Legal and Financial Concerns
- DOJ investigation into financial practices
- Ernst & Young’s resignation as auditor
- Risk of Nasdaq delisting
- Allegations of financial misconduct
Supply Chain Impact
- Limited availability of Blackwell chips
- CEO Charles Liang has acknowledged persistent requests to Nvidia for new Blackwell chip supplies
- Production volume is expected to potentially improve in Q1
Market Impact
The situation has created opportunities for competitors:
- Dell has emerged as a beneficiary, reporting $3.1 billion in AI server sales
- Dell’s Infrastructure Solutions Group has seen an 80% increase in server sales
- Major tech companies like Alphabet, Amazon, and Microsoft are scheduled to receive initial Blackwell deliveries in 2025
The future of Super Micro’s Blackwell server contracts remains uncertain as Nvidia appears to be prioritizing more stable partners for its chip supply chain.
Who are the main supplier for Nvidia’s Blackwell server, list in table format and their percentage
here is a breakdown of the main suppliers for Nvidia’s server business, presented in a table format:
Supplier | Market Share (%) |
---|---|
Hon Hai Technology Group (Foxconn) | 24 |
Inventec | 22 |
Quanta Computer | 15 |
Wistron | 5 |
Gigabyte | 2 |
Wiwynn | 1 |
Key Points
Supply Chain Roles
- Foxconn leads with vertical integration capabilities, handling GPU modules, substrates, motherboards, and chassis
- Quanta Computer is recognized for having the most advanced technology and designed the first AI server with Nvidia
- Inventec is Microsoft’s largest AI server motherboard supplier
- Wistron is the exclusive manufacturer for Nvidia’s DGX servers
Market Position
- Taiwanese vendors account for over 70% of Nvidia’s global GPU server shipments
- These suppliers have competitive advantages through:
- Economies of scale
- Flexible global production networks
- Production capabilities in Taiwan, Southeast Asia, and Mexico
The upcoming Blackwell platform launch in Q4 2024 is expected to drive significant changes in the server market, particularly in cooling solutions, with liquid cooling penetration projected to grow from 10% in 2024 to over 20% in 2025.
What are the primary components supplied by each of Nvidia’s main suppliers
here’s a breakdown of the primary components supplied by Nvidia’s main suppliers:
Major System Integrators
Supplier | Primary Components/Responsibilities |
---|---|
Foxconn | - GPU modules |
- GPU substrates | |
- Motherboards | |
- Chassis | |
- NVLink switches (exclusive supplier) | |
Quanta | - Advanced AI server designs |
- First AI server designer (DGX-1) | |
- Cloud service provider systems | |
Inventec | - Motherboards (largest supplier for Microsoft) |
- Rack integration (via ZT partnership) | |
Wistron | - DGX server manufacturing (exclusive) |
- GPU substrates |
Cooling Solution Suppliers
Component | Suppliers |
---|---|
Cold Plates | - Asia Vital Components |
- Cooler Master | |
Manifolds | - Cooler Master |
- Auras | |
Coolant Distribution Units | - Vertiv |
- Delta Electronics | |
Quick Disconnect Components | - CPC |
- Parker Hannifin | |
- Denfoss | |
- Staubli |
Market Impact
- Liquid cooling penetration is expected to grow from 10% in 2024 to over 20% in 2025
- The GB200 NVL72 racks require liquid cooling solutions due to their high TDP of approximately 140 kW
- Other Blackwell architectures (HGX and MGX) will continue using air cooling solutions due to lower density
What is super micro computer strategy partnership with Nvidia in AI server and specially in Blackwell
here’s an analysis of Supermicro’s partnership strategy with Nvidia for AI servers and Blackwell:
Product Portfolio
Blackwell-Ready Systems
- NVIDIA HGX B100/B200 8-GPU systems
- 4U liquid-cooled NVIDIA HGX B200 8-GPU system
- GB200 NVL72 rack solution with 72 NVIDIA Blackwell GPUs
- 10U air-cooled B200 system
- Various MGX systems supporting up to 4 B100 GPUs
Technical Innovations
Cooling Solutions
- Direct-to-chip liquid cooling technology for high TDP GPUs
- Rack-scale liquid cooling solutions reducing power usage by up to 40%
- SuperCloud Composer (SCC) for end-to-end management from chip to cooling towers
Performance Capabilities
- Systems deliver 3X faster training for LLMs compared to Hopper architecture
- 1.8TB/s high-speed fifth-generation NVLink interconnect
- 30x speed-ups for AI inference compared to HGX H100
Manufacturing Capacity
- Production capacity of 5,000 racks per month
- First-to-market strategy for Blackwell deployment
- Global manufacturing with world-class efficiency
Current Challenges
Despite technical readiness, Supermicro faces several obstacles:
- Delayed financial reporting and auditor resignation
- DOJ investigation concerns
- Uncertainty about Blackwell chip availability
- CEO Charles Liang actively seeking increased chip allocation from Nvidia
Future Outlook
- Focus on rack-scale total liquid cooling solutions
- Emphasis on building block architecture and rack-scale Total IT for AI
- Ready for production but waiting for Nvidia’s chip availability
- Expecting volume improvements in Q1 2025
How does Supermicro’s liquid cooling technology enhance the performance of NVIDIA Blackwell GPUs
here’s a detailed analysis of how Supermicro’s liquid cooling technology enhances NVIDIA Blackwell GPU performance:
Technical Capabilities
Cooling Performance
- Handles extreme heat levels up to 12kW per server
- Manages AI racks generating over 100kW of heat
- Supports warm water cooling up to 113°F (45°C)
- Can dissipate up to 1600W for next-generation NVIDIA GPUs
System Density
- Enables up to 96 NVIDIA Blackwell GPUs per rack
- Achieves 4x computing density compared to traditional setups
- Supports up to 72 NVIDIA Blackwell GPUs in GB200 NVL72 configuration
Efficiency Improvements
Power and Space Optimization
- Reduces power consumption by up to 40%
- Achieves 80% space savings by eliminating traditional CRAC/CRAH units
- Delivers PUE of less than 1.1
Performance Benefits
- Allows GPUs to operate at peak performance for longer periods
- Enables full utilization of 20 PetaFLOPS on a single GPU
- Reduces training time for large language models
Infrastructure Components
Complete Cooling Solution
- Advanced cold plates with microchannels
- Coolant Distribution Units (CDUs) with 250kW cooling capacity
- Horizontal and vertical Coolant Distribution Manifolds (CDMs)
- Modular cooling towers with EC fan technology
- SuperCloud Composer management software for real-time monitoring
This comprehensive liquid cooling solution has proven successful, with Supermicro deploying over 2000 liquid-cooled racks since June 2024, demonstrating its effectiveness in real-world AI infrastructure projects.
Nvidia’s reason new about the Blackwell server overheating and ask their vender to change design, give me a siummarly
Based on the recent news reports (November 17-18, 2024), here’s a summary of the Nvidia Blackwell server overheating situation:
Core Issues
Overheating Problems
- Blackwell GPUs are experiencing significant heat management issues when installed in 72-chip server racks
- The racks, designed to consume up to 120kW of power, are showing thermal management challenges
Design Modifications
- Nvidia has asked suppliers to make multiple design changes to the server racks
- The modifications are occurring late in the production process
- The company is working with cloud service providers to resolve the issues
Impact
Customer Concerns
- Major clients including Google, Meta, and Microsoft are worried about deployment timelines
- Some customers fear they won’t have enough time to get new data centers operational
Nvidia’s Response
- Company spokesperson states these “engineering iterations are normal and expected”
- Describes the GB200 systems as “the most advanced computers ever created”
- Continues to work with leading cloud service providers as part of the engineering process
Timeline
- Mass production began in late October 2024
- Initial deliveries were expected to start in December 2024
- SoftBank was announced as the first customer to receive the Blackwell chips
The situation has affected Nvidia’s stock price, with shares falling as much as 1.8% following the news.
What are the potential impacts of these overheating issues on Nvidia’s stock performance
here’s an analysis of the overheating issues’ impact on Nvidia’s stock performance:
Immediate Market Response
Stock Price Impact
- Shares fell up to 3% in premarket trading to $137.92
- Stock declined as much as 1.8% following the news
- Market capitalization stands at $3.48 trillion, still maintaining its position as the world’s most valuable company
Financial Implications
Earnings Expectations
- Q3 earnings expected to show 81% YoY revenue growth to $32.8 billion
- Several billion dollars worth of Blackwell revenue projected for January quarter
- Stock has risen 186.7% year-to-date despite current challenges
Market Concerns
Key Risk Factors
- Potential delays in deployment to major customers like Meta, Microsoft, and Google
- Production timeline shifts affecting Q4 2024 revenue projections
- Increased engineering costs due to multiple rack redesigns
Analyst Perspective
Market Outlook
- Historical data suggests potential one-day move of up to 8.78% around earnings
- Average EPS surprise of 14.41% in previous quarters
- Analysts maintain strong buy recommendations despite technical challenges
Long-term Considerations
Strategic Position
- Expected market share of 66% by 2026
- Continued strong demand for AI infrastructure
- “Insane” demand for Blackwell reported by CEO Jensen Huang
- Blackwell chips reportedly sold out for next 12 months
The market’s ultimate response will largely depend on how quickly Nvidia can resolve these technical challenges and maintain its projected delivery schedule to key customers.
Nvidia asked which suppliers to make multiple design changes to the server racks, and who are those companies related to this issue
here’s an analysis of the suppliers involved in the Blackwell server rack redesign:
Primary Suppliers Affected
Server Rack Manufacturers
- Foxconn (Hon Hai Technology Group)
- Inventec
- Quanta Computer
- Wistron (exclusive manufacturer for Nvidia’s DGX servers)
Cooling Solution Providers
- Asia Vital Components
- Cooler Master
- Vertiv
- Delta Electronics
Design Change Requirements
Technical Issues
- Overheating occurs in racks designed to hold 72 processors
- Systems consuming up to 120kW per rack
- Problems with thermal expansion characteristics affecting:
- GPU chiplets
- LSI bridges
- RDL interposer
- Motherboard substrate
Impact on Production
Timeline Effects
- Mass production began in late October 2024
- Changes requested late in the production process
- Delivery delays expected for major customers
- Initial shipments pushed to late January 2025
The search results don’t explicitly state which specific suppliers were asked to make the design changes, but indicate that Nvidia is working closely with all its major suppliers and cloud service providers to resolve the overheating issues.
What are the main challenges Nvidia is facing with the Blackwell GPU design
here are the main challenges Nvidia is facing with the Blackwell GPU design:
Thermal Management Issues
Server Rack Problems
- Severe overheating in 72-processor configurations (NVL72 GB200 racks)
- Power consumption reaching up to 120kW per rack
- Performance limitations due to thermal constraints
- Risk of component damage from excessive heat
Technical Design Flaws
Packaging Technology Issues
- Problems with TSMC’s CoWoS-L packaging technology
- Thermal expansion mismatches between components:
- GPU chiplets
- LSI bridges
- RDL interposer
- Motherboard substrate
- Warping and system failures due to component interactions
Production Challenges
Manufacturing Setbacks
- Initial yield-killing design flaw requiring modifications
- Changes to GPU silicon’s top metal layers
- Modifications to bump structures
- New photomask requirements
- Mass production delayed until late October 2024
Impact on Deployment
Customer Concerns
- Delays affecting major clients (Google, Meta, Microsoft)
- Uncertainty about data center deployment timelines
- Multiple rack design revisions requested from suppliers
- Expected shipping dates pushed to late January 2025
Despite these challenges, Nvidia maintains that these engineering iterations are normal and expected for such advanced computing systems, working closely with cloud service providers to resolve the issues.
What is Super Micro Computers relation with Nvidia in Blackwell servers
here’s a comprehensive analysis of Super Micro Computer’s relationship with Nvidia regarding Blackwell servers:
Strategic Partnership
Product Portfolio
- Multiple Blackwell-based systems in development:
- NVIDIA GB200 NVL72 platform (72 Blackwell GPUs per rack)
- 4U liquid-cooled NVIDIA HGX B200 8-GPU system
- 10U air-cooled B200 systems
- NVIDIA MGX systems with GB200
Manufacturing Capacity
- Global production capacity of 5,000 racks per month
- Over 2000 liquid-cooled racks shipped since June 2024
- First-to-market strategy for Blackwell deployment
Technical Innovations
Cooling Solutions
- End-to-end liquid cooling technology
- Advanced in-rack or in-row coolant distribution units (CDUs)
- Custom cold plates for compute trays
- SuperCloud Composer (SCC) for management from chip to cooling towers
Performance Capabilities
- 1.8TB/s fifth-generation NVLink interconnect
- 3X faster training for LLMs compared to Hopper architecture
- 30x speed-ups for AI inference compared to HGX H100
Current Challenges
Supply Chain Issues
- Actively seeking increased chip allocation from Nvidia
- CEO Charles Liang requesting daily updates on Blackwell availability
- Production volume expected to improve in Q1 2025
Future Outlook
Ready for Scale
- Systems are production-ready awaiting chip availability
- Enhanced rack-scale solutions developed
- Focus on building block architecture and rack-scale Total IT for AI
What’s the percentage of Supermicro in Nvidia’s AI server compare to other competitor, list everything in table format
here’s a breakdown of market share in Nvidia’s AI server market:
Company | Current Market Share (%) | Expected Share by 2026-2027 (%) |
---|---|---|
Super Micro Computer | 10 | 17 |
Dell Technologies | 35 | Not Specified |
HPE | 25 | Not Specified |
Other OEMs | 30 | Not Specified |
Key Market Dynamics
Growth Indicators
- Supermicro’s revenue grew 110% in fiscal 2024
- AI-related sales account for 70% of Supermicro’s revenue
- Production capacity of 5,000 racks per month
Competitive Advantages
- Specialized in liquid-cooled servers
- Direct-to-chip liquid cooling technology
- First-to-market strategy for Blackwell deployment
- Bank of America expects Supermicro’s market share to grow to 17% over next three years
Market Position
- Currently controls about 10% of dedicated AI server market
- Faces strong competition from Dell and HPE
- Strategic partnership with Nvidia for GPU supply
- Production ready for GB200 NVL72 and B200 systems
The market share percentages indicate that while Supermicro is currently a smaller player, it’s positioned for significant growth in the AI server market.
Whats Supermicro’s strength in Nvidia’s AI server compare to other competitors
here are Supermicro’s key strengths in the AI server market compared to competitors:
Technical Advantages
Cooling Innovation
- Leader in liquid-cooled server technology
- Advanced liquid cooling reduces power consumption by up to 40%
- Specialized solutions for high-performance AI systems
- Ability to handle extreme heat levels up to 12kW per server
Product Differentiation
- High-performance liquid-cooled servers as a niche market
- Preferred partner status with Nvidia for GPU integration
- Early access to next-generation GPU technologies
- Flexible and customized approach to meet customer needs
Market Position
Growth Metrics
- Revenue grew 110% in fiscal 2024
- AI servers account for over 50% of total revenue
- Current 10% market share expected to reach 17% in next three years
- Fourth-largest server provider globally, ahead of Lenovo
Strategic Partnerships
- Strong collaboration with all major chip suppliers:
- Nvidia (primary partner)
- AMD
- Intel
Customer Base
Key Clients
- Meta
- Amazon
- Major cloud service providers
- Enterprise data centers
Competitive Edge
Business Model Strengths
- Faster time-to-market for new products
- More flexible and customizable solutions
- Energy-efficient designs
- Lower pricing compared to larger competitors
- Superior growth rates compared to Dell and HPE
This combination of technical innovation, strategic partnerships, and market positioning has helped Supermicro establish a strong presence in the AI server market despite competition from larger players.
Whats Supermicro’s liquid-cooled server technology’s edge
here’s a comprehensive analysis of Supermicro’s liquid-cooled server technology advantages:
Technical Superiority
Cooling Performance
- Handles extreme heat levels up to 12kW per server
- Supports AI racks generating over 100kW of heat
- Achieves up to 40% energy savings for infrastructure
- Delivers PUE of less than 1.1
Infrastructure Innovation
- Complete end-to-end liquid cooling solution
- Advanced cold plates with microchannels
- State-of-the-art rack-CDU solutions with 250kW cooling capacity
- Supports warm water cooling up to 113°F (45°C)
Market Leadership
Deployment Scale
- Shipped over 2000 liquid-cooled racks since June 2024
- Currently shipping over 100,000 GPUs per quarter
- Production capacity of 5,000 racks per month
System Density
- Supports up to 96 NVIDIA B200 GPUs per rack
- Achieves 4x computing density compared to traditional setups
- 80% space savings by eliminating traditional CRAC/CRAH units
Management Capabilities
Software Integration
- SuperCloud Composer for end-to-end management
- Real-time monitoring of all components
- Integrated lifecycle management
- Optimization of operational costs
Competitive Advantages
Market Position
- Only Lenovo’s Neptune solution is comparable
- Superior deployment speed (weeks vs. months)
- More targeted cooling solution for big AI workloads
- Leading position in high-performance data center infrastructure
This comprehensive solution positions Supermicro as a leader in the rapidly growing liquid-cooled server market, particularly for AI and high-performance computing applications.
How does Supermicro ensure the reliability and efficiency of its liquid cooling systems
here’s a detailed analysis of how Supermicro ensures reliability and efficiency in its liquid cooling systems:
Testing and Validation
Multi-Level Testing
- Fully validated and tested at three levels:
- System level (L10)
- Rack level (L11)
- Cluster level (L12)
- Enterprise-grade components with redundant systems
Safety Features
- Leak-proof connectors
- Advanced leak detection systems
- Single-handed, 0-drip quick disconnectors
- Redundant cooling pumps and power supplies
Technical Specifications
Cooling Capacity
- Handles up to 12kW per server
- Supports racks generating over 100kW of heat
- CDUs with 250kW cooling capacity
- Warm water cooling support up to 113°F (45°C)
Component Design
- Optimized cold plates with microchannels
- Advanced thermal resistance reduction
- Hot-spot elimination technology
- Flexible hoses with secure connections
Management Systems
SuperCloud Composer Software
- Real-time monitoring of all components
- End-to-end management capabilities
- Temperature tracking from CPU/GPU to cooling towers
- Detailed logging metrics for performance health
- Preventative maintenance tracking
Proven Performance
Deployment Track Record
- Over 2,000 liquid-cooled racks delivered since June 2024
- Currently shipping over 100,000 GPUs per quarter
- Successfully cooling some of the largest AI facilities
- Deployment time reduced from months to weeks
- Up to 40% power reduction in real-world implementations