AI Compute Card Future Roadmap (2025–2027)
Based on vendor announcements, supply chain reports, and industry analysis. Actual release dates subject to official vendor confirmation. Last updated: 2026-06-04.
2025 Q2–Q4 (Launched / In Production)
| Date | Product | Vendor | Key Details |
|---|---|---|---|
| 2025-04 | NVIDIA B200 | NVIDIA | Blackwell, 192GB HBM3e, 9 PFLOPS FP8 |
| 2025-04 | NVIDIA GB200 | NVIDIA | 2× B200 + Grace CPU, flagship LLM inference |
| 2025-05 | AMD MI355X | AMD | CDNA 4, 288GB HBM3e, 5 PFLOPS FP8 dense |
| 2025-06 | Google TPU v6e (Trillium) | 918 TFLOPS BF16, 32GB HBM, GA | |
| 2025-08 | Huawei Ascend 910C | Huawei | Dual-die 910B, 780 TFLOPS BF16, domestic production |
| 2025-09 | NVIDIA B300 Ultra | NVIDIA | 288GB HBM3e, 14 PFLOPS FP4, 1,400W liquid-cooled |
| 2025-12 | AWS Trainium 3 | AWS | 3nm, 5.7 PFLOPS FP8 dense, re:Invent GA |
| 2025-12 | Google TPU v7 (Ironwood) | 192GB HBM, 2,307 TFLOPS BF16, inference-optimized |
2026 H1 (Launched / In Production)
| Date | Product | Vendor | Key Details |
|---|---|---|---|
| 2026-Q1 | Huawei Ascend 950PR / 950DT | Huawei | 1 PFLOPS FP8, in-house HiBL/HiZQ HBM, in production |
| 2026-Q1 | Cambricon MLU690 | Cambricon | 2 PFLOPS FP8 dense, 192GB HBM3E, shipping |
| 2026-Q1 | AMD MI350X | AMD | CDNA 4, 192GB HBM3e, 2.5 PFLOPS FP16, available |
| 2026-02 | Moore Threads MTT S5000 | Moore Threads | 1,000 TFLOPS, 80GB GDDR6X, specs public |
| 2026-06 | NVIDIA Vera Rubin R200 | NVIDIA | ✅ Full production (announced at GTC Taipei) |
| 2026-06 | NVIDIA RTX Spark | NVIDIA | 20-core Grace + Blackwell GPU, 1 PFLOPS AI PC chip |
2026 H2 (Upcoming / Highly Anticipated)
| Date | Product | Vendor | Expected Specs |
|---|---|---|---|
| 2026-H2 | NVIDIA Rubin R200 Shipping | NVIDIA | 288GB HBM4, 50 PFLOPS FP4, NVLink 6 |
| 2026-H2 | NVIDIA Rubin NVL72 Rack | NVIDIA | 72 Rubin + 36 Vera, 1.8 EFLOPS FP4 |
| 2026-H2 | AMD MI400 + Helios Rack | AMD | 432GB HBM4, 40 PFLOPS FP4, 19.6 TB/s |
| 2026-H2 | Cerebras WSE-4 | Cerebras | 1.4 trillion transistors, 125 PFLOPS FP8 |
| 2026-Q4 | Huawei Ascend 950DT Full Ramp | Huawei | 950DT Decode + training mass production |
| 2026-Fall | NVIDIA RTX Spark Retail | NVIDIA | Asus / Dell / HP / Lenovo / Microsoft launch partners |
2027 (Outlook)
| Date | Product | Vendor | Expected Direction |
|---|---|---|---|
| 2027 | NVIDIA Rubin Ultra / Feynman | NVIDIA | Next-next-gen architecture, possibly wafer-scale |
| 2027 | AMD MI500 | AMD | CDNA 5, HBM4e or 3D stacking |
| 2027 | Google TPU v8 8t/8i | Training/inference split architecture, optical interconnect | |
| 2027-Q4 | Huawei Ascend 960 | Huawei | FP8 ~2 PFLOPS, N+3 process |
| 2027 | Intel Jaguar Shores | Intel | Xe-HPC + Gaudi converged architecture |
Key Technology Trends
HBM4 / In-House HBM (2026–2027)
- HBM4 (NVIDIA Rubin / AMD MI400): 1,024-bit interface, 2.4+ TB/s/stack
- Huawei in-house HiBL/HiZQ: First Chinese enterprise to achieve in-house HBM mass production (950PR/950DT)
- HBM4e: Late 2027, likely for Rubin Ultra
Personal AI Computing (2026 Emerging Trend)
- NVIDIA RTX Spark: AI PC chip, 1 PFLOPS, shipping Fall 2026
- Apple M5 Ultra: Local LLM inference, 192GB unified memory
- Qualcomm Snapdragon X Elite 2: 2027, AI PC continues to evolve
- Significance: AI compute extends from datacenters to personal devices
Wafer-Scale / Rack-Scale (2026+)
- NVIDIA Rubin NVL72: 72 GPU + 36 CPU, rack-scale AI factory
- AMD Helios: 432GB HBM4, 260 TB/s UALink interconnect
- Cerebras WSE-4: 1.4T transistor wafer-scale engine
- Huawei CloudMatrix 384: 384-chip interconnect, total BF16 compute ~300 PFLOPS
Low-Precision Computing (FP4 / INT4)
- NVIDIA Rubin R200: 50 PFLOPS FP4 (sparse), 2.8× Blackwell
- AMD MI400: 40 PFLOPS FP4 (dense), Helios rack ~2 ExaFLOPS
- Huawei HiF8: Proprietary FP8 variant, precision approaching FP16
- Trend: FP8 → FP4 → INT4, trading precision for compute, models trained at ever-lower precision
Domestic Alternatives Accelerating (2026 Three-Pole Landscape)
| Vendor | Flagship | Compute | HBM | Ecosystem | Status |
|---|---|---|---|---|---|
| Huawei | Ascend 950DT | 1 PFLOPS FP8 | In-house HiZQ 144GB | CANN + MindSpore | In production |
| Cambricon | MLU690 | 2 PFLOPS FP8 | HBM3E 192GB | NeuWare + MindSpore | Shipping |
| Moore Threads | MTT S5000 | 1,000 TFLOPS | GDDR6X 80GB | MUSA + MUSIFY | Specs public |
Release Timeline (Visual)
timeline
title AI Compute Card Release Roadmap (2025-2027)
section 2025 H1
NVIDIA B200 : Launched
AMD MI355X : Launched
Google TPU v6e : GA
section 2025 H2
NVIDIA B300 Ultra : Launched
AWS Trainium 3 : GA
Google TPU Ironwood : Launched
Huawei Ascend 910C : In Production
section 2026 H1
NVIDIA Vera Rubin : Full Production
NVIDIA RTX Spark : Launched
Huawei Ascend 950PR/DT : In Production
Cambricon MLU690 : Shipping
section 2026 H2
Rubin NVL72 : Shipping
AMD MI400 Helios : Expected H2
Cerebras WSE-4 : Expected
RTX Spark Retail : Fall
section 2027
NVIDIA Feynman : Outlook
AMD MI500 : Outlook
Google TPU v8 : Outlook
Huawei Ascend 960 : Roadmap
Data Sources & Updates
- Official vendor announcements (NVIDIA GTC Taipei 2026, Computex 2026, AMD Advancing AI, Huawei Connect)
- Supply chain leaks (DigiTimes, Tom's Hardware, ServeTheHome)
- Industry analyst reports (TrendForce, Jon Peddie Research)
- Last updated: 2026-06-04, based on Computex 2026 / GTC Taipei latest announcements
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